2015-02-19 11:38:46 -07:00
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// Copyright 2009 The Go Authors. All rights reserved.
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// Use of this source code is governed by a BSD-style
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// license that can be found in the LICENSE file.
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// Garbage collector: marking and scanning
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package runtime
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2015-11-02 12:09:24 -07:00
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import (
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"runtime/internal/atomic"
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2015-11-11 10:39:30 -07:00
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"runtime/internal/sys"
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2015-11-02 12:09:24 -07:00
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"unsafe"
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)
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2015-02-19 11:38:46 -07:00
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2015-10-16 14:52:26 -06:00
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const (
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fixedRootFinalizers = iota
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2016-03-11 15:00:46 -07:00
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fixedRootFreeGStacks
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2015-10-16 14:52:26 -06:00
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fixedRootCount
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// rootBlockBytes is the number of bytes to scan per data or
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// BSS root.
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rootBlockBytes = 256 << 10
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// rootBlockSpans is the number of spans to scan per span
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// root.
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rootBlockSpans = 8 * 1024 // 64MB worth of spans
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runtime: bound scanobject to ~100 µs
Currently the time spent in scanobject is proportional to the size of
the object being scanned. Since scanobject is non-preemptible, large
objects can cause significant goroutine (and even whole application)
delays through several means:
1. If a GC assist picks up a large object, the allocating goroutine is
blocked for the whole scan, even if that scan well exceeds that
goroutine's debt.
2. Since the scheduler does not run on the P performing a large object
scan, goroutines in that P's run queue do not run unless they are
stolen by another P (which can take some time). If there are a few
large objects, all of the Ps may get tied up so the scheduler
doesn't run anywhere.
3. Even if a large object is scanned by a background worker and other
Ps are still running the scheduler, the large object scan doesn't
flush background credit until the whole scan is done. This can
easily cause all allocations to block in assists, waiting for
credit, causing an effective STW.
Fix this by splitting large objects into 128 KB "oblets" and scanning
at most one oblet at a time. Since we can scan 1–2 MB/ms, this equates
to bounding scanobject at roughly 100 µs. This improves assist
behavior both because assists can no longer get "unlucky" and be stuck
scanning a large object, and because it causes the background worker
to flush credit and unblock assists more frequently when scanning
large objects. This also improves GC parallelism if the heap consists
primarily of a small number of very large objects by letting multiple
workers scan a large objects in parallel.
Fixes #10345. Fixes #16293.
This substantially improves goroutine latency in the benchmark from
issue #16293, which exercises several forms of very large objects:
name old max-latency new max-latency delta
SliceNoPointer-12 154µs ± 1% 155µs ± 2% ~ (p=0.087 n=13+12)
SlicePointer-12 314ms ± 1% 5.94ms ±138% -98.11% (p=0.000 n=19+20)
SliceLivePointer-12 1148ms ± 0% 4.72ms ±167% -99.59% (p=0.000 n=19+20)
MapNoPointer-12 72509µs ± 1% 408µs ±325% -99.44% (p=0.000 n=19+18)
ChanPointer-12 313ms ± 0% 4.74ms ±140% -98.49% (p=0.000 n=18+20)
ChanLivePointer-12 1147ms ± 0% 3.30ms ±149% -99.71% (p=0.000 n=19+20)
name old P99.9-latency new P99.9-latency delta
SliceNoPointer-12 113µs ±25% 107µs ±12% ~ (p=0.153 n=20+18)
SlicePointer-12 309450µs ± 0% 133µs ±23% -99.96% (p=0.000 n=20+20)
SliceLivePointer-12 961ms ± 0% 1.35ms ±27% -99.86% (p=0.000 n=20+20)
MapNoPointer-12 448µs ±288% 119µs ±18% -73.34% (p=0.000 n=18+20)
ChanPointer-12 309450µs ± 0% 134µs ±23% -99.96% (p=0.000 n=20+19)
ChanLivePointer-12 961ms ± 0% 1.35ms ±27% -99.86% (p=0.000 n=20+20)
This has negligible effect on all metrics from the garbage, JSON, and
HTTP x/benchmarks.
It shows slight improvement on some of the go1 benchmarks,
particularly Revcomp, which uses some multi-megabyte buffers:
name old time/op new time/op delta
BinaryTree17-12 2.46s ± 1% 2.47s ± 1% +0.32% (p=0.012 n=20+20)
Fannkuch11-12 2.82s ± 0% 2.81s ± 0% -0.61% (p=0.000 n=17+20)
FmtFprintfEmpty-12 50.8ns ± 5% 50.5ns ± 2% ~ (p=0.197 n=17+19)
FmtFprintfString-12 131ns ± 1% 132ns ± 0% +0.57% (p=0.000 n=20+16)
FmtFprintfInt-12 117ns ± 0% 116ns ± 0% -0.47% (p=0.000 n=15+20)
FmtFprintfIntInt-12 180ns ± 0% 179ns ± 1% -0.78% (p=0.000 n=16+20)
FmtFprintfPrefixedInt-12 186ns ± 1% 185ns ± 1% -0.55% (p=0.000 n=19+20)
FmtFprintfFloat-12 263ns ± 1% 271ns ± 0% +2.84% (p=0.000 n=18+20)
FmtManyArgs-12 741ns ± 1% 742ns ± 1% ~ (p=0.190 n=19+19)
GobDecode-12 7.44ms ± 0% 7.35ms ± 1% -1.21% (p=0.000 n=20+20)
GobEncode-12 6.22ms ± 1% 6.21ms ± 1% ~ (p=0.336 n=20+19)
Gzip-12 220ms ± 1% 219ms ± 1% ~ (p=0.130 n=19+19)
Gunzip-12 37.9ms ± 0% 37.9ms ± 1% ~ (p=1.000 n=20+19)
HTTPClientServer-12 82.5µs ± 3% 82.6µs ± 3% ~ (p=0.776 n=20+19)
JSONEncode-12 16.4ms ± 1% 16.5ms ± 2% +0.49% (p=0.003 n=18+19)
JSONDecode-12 53.7ms ± 1% 54.1ms ± 1% +0.71% (p=0.000 n=19+18)
Mandelbrot200-12 4.19ms ± 1% 4.20ms ± 1% ~ (p=0.452 n=19+19)
GoParse-12 3.38ms ± 1% 3.37ms ± 1% ~ (p=0.123 n=19+19)
RegexpMatchEasy0_32-12 72.1ns ± 1% 71.8ns ± 1% ~ (p=0.397 n=19+17)
RegexpMatchEasy0_1K-12 242ns ± 0% 242ns ± 0% ~ (p=0.168 n=17+20)
RegexpMatchEasy1_32-12 72.1ns ± 1% 72.1ns ± 1% ~ (p=0.538 n=18+19)
RegexpMatchEasy1_1K-12 385ns ± 1% 384ns ± 1% ~ (p=0.388 n=20+20)
RegexpMatchMedium_32-12 112ns ± 1% 112ns ± 3% ~ (p=0.539 n=20+20)
RegexpMatchMedium_1K-12 34.4µs ± 2% 34.4µs ± 2% ~ (p=0.628 n=18+18)
RegexpMatchHard_32-12 1.80µs ± 1% 1.80µs ± 1% ~ (p=0.522 n=18+19)
RegexpMatchHard_1K-12 54.0µs ± 1% 54.1µs ± 1% ~ (p=0.647 n=20+19)
Revcomp-12 387ms ± 1% 369ms ± 5% -4.89% (p=0.000 n=17+19)
Template-12 62.3ms ± 1% 62.0ms ± 0% -0.48% (p=0.002 n=20+17)
TimeParse-12 314ns ± 1% 314ns ± 0% ~ (p=1.011 n=20+13)
TimeFormat-12 358ns ± 0% 354ns ± 0% -1.12% (p=0.000 n=17+20)
[Geo mean] 53.5µs 53.3µs -0.23%
Change-Id: I2a0a179d1d6bf7875dd054b7693dd12d2a340132
Reviewed-on: https://go-review.googlesource.com/23540
Run-TryBot: Austin Clements <austin@google.com>
TryBot-Result: Gobot Gobot <gobot@golang.org>
Reviewed-by: Rick Hudson <rlh@golang.org>
2016-05-27 19:04:40 -06:00
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// maxObletBytes is the maximum bytes of an object to scan at
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// once. Larger objects will be split up into "oblets" of at
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// most this size. Since we can scan 1–2 MB/ms, 128 KB bounds
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// scan preemption at ~100 µs.
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//
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// This must be > _MaxSmallSize so that the object base is the
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// span base.
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maxObletBytes = 128 << 10
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2016-10-30 18:20:17 -06:00
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// idleCheckThreshold specifies how many units of work to do
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// between run queue checks in an idle worker. Assuming a scan
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// rate of 1 MB/ms, this is ~100 µs. Lower values have higher
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// overhead in the scan loop (the scheduler check may perform
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// a syscall, so its overhead is nontrivial). Higher values
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// make the system less responsive to incoming work.
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idleCheckThreshold = 100000
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2015-10-16 14:52:26 -06:00
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)
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runtime: perform concurrent scan in GC workers
Currently the concurrent root scan is performed in its entirety by the
GC coordinator before entering concurrent mark (which enables GC
workers). This scan is done sequentially, which can prolong the scan
phase, delay the mark phase, and means that the scan phase does not
obey the 25% CPU goal. Furthermore, there's no need to complete the
root scan before starting marking (in fact, we already allow GC
assists to happen during the scan phase), so this acts as an
unnecessary barrier between root scanning and marking.
This change shifts the root scan work out of the GC coordinator and in
to the GC workers. The coordinator simply sets up the scan state and
enqueues the right number of root scan jobs. The GC workers then drain
the root scan jobs prior to draining heap scan jobs.
This parallelizes the root scan process, makes it obey the 25% CPU
goal, and effectively eliminates root scanning as an isolated phase,
allowing the system to smoothly transition from root scanning to heap
marking. This also eliminates a major non-STW responsibility of the GC
coordinator, which will make it easier to switch to a decentralized
state machine. Finally, it puts us in a good position to perform root
scanning in assists as well, which will help satisfy assists at the
beginning of the GC cycle.
This is mostly straightforward. One tricky aspect is that we have to
deal with preemption deadlock: where two non-preemptible gorountines
are trying to preempt each other to perform a stack scan. Given the
context where this happens, the only instance of this is two
background workers trying to scan each other. We avoid this by simply
not scanning the stacks of background workers during the concurrent
phase; this is safe because we'll scan them during mark termination
(and their stacks are *very* small and should not contain any new
pointers).
This change also switches the root marking during mark termination to
use the same gcDrain-based code path as concurrent mark. This
shouldn't affect performance because STW root marking was already
parallel and tasks switched to heap marking immediately when no more
root marking tasks were available. However, it simplifies the code and
unifies these code paths.
This has negligible effect on the go1 benchmarks. It slightly slows
down the garbage benchmark, possibly by making GC run slightly more
frequently.
name old time/op new time/op delta
XBenchGarbage-12 5.10ms ± 1% 5.24ms ± 1% +2.87% (p=0.000 n=18+18)
name old time/op new time/op delta
BinaryTree17-12 3.25s ± 3% 3.20s ± 5% -1.57% (p=0.013 n=20+20)
Fannkuch11-12 2.45s ± 1% 2.46s ± 1% +0.38% (p=0.019 n=20+18)
FmtFprintfEmpty-12 49.7ns ± 3% 49.9ns ± 4% ~ (p=0.851 n=19+20)
FmtFprintfString-12 170ns ± 2% 170ns ± 1% ~ (p=0.775 n=20+19)
FmtFprintfInt-12 161ns ± 1% 160ns ± 1% -0.78% (p=0.000 n=19+18)
FmtFprintfIntInt-12 267ns ± 1% 270ns ± 1% +1.04% (p=0.000 n=19+19)
FmtFprintfPrefixedInt-12 238ns ± 2% 238ns ± 1% ~ (p=0.133 n=18+19)
FmtFprintfFloat-12 311ns ± 1% 310ns ± 2% -0.35% (p=0.023 n=20+19)
FmtManyArgs-12 1.08µs ± 1% 1.06µs ± 1% -2.31% (p=0.000 n=20+20)
GobDecode-12 8.65ms ± 1% 8.63ms ± 1% ~ (p=0.377 n=18+20)
GobEncode-12 6.49ms ± 1% 6.52ms ± 1% +0.37% (p=0.015 n=20+20)
Gzip-12 319ms ± 3% 318ms ± 1% ~ (p=0.975 n=19+17)
Gunzip-12 41.9ms ± 1% 42.1ms ± 2% +0.65% (p=0.004 n=19+20)
HTTPClientServer-12 61.7µs ± 1% 62.6µs ± 1% +1.40% (p=0.000 n=18+20)
JSONEncode-12 16.8ms ± 1% 16.9ms ± 1% ~ (p=0.239 n=20+18)
JSONDecode-12 58.4ms ± 1% 60.7ms ± 1% +3.85% (p=0.000 n=19+20)
Mandelbrot200-12 3.86ms ± 0% 3.86ms ± 1% ~ (p=0.092 n=18+19)
GoParse-12 3.75ms ± 2% 3.75ms ± 2% ~ (p=0.708 n=19+20)
RegexpMatchEasy0_32-12 100ns ± 1% 100ns ± 2% +0.60% (p=0.010 n=17+20)
RegexpMatchEasy0_1K-12 341ns ± 1% 342ns ± 2% ~ (p=0.203 n=20+19)
RegexpMatchEasy1_32-12 82.5ns ± 2% 83.2ns ± 2% +0.83% (p=0.007 n=19+19)
RegexpMatchEasy1_1K-12 495ns ± 1% 495ns ± 2% ~ (p=0.970 n=19+18)
RegexpMatchMedium_32-12 130ns ± 2% 130ns ± 2% +0.59% (p=0.039 n=19+20)
RegexpMatchMedium_1K-12 39.2µs ± 1% 39.3µs ± 1% ~ (p=0.214 n=18+18)
RegexpMatchHard_32-12 2.03µs ± 2% 2.02µs ± 1% ~ (p=0.166 n=18+19)
RegexpMatchHard_1K-12 61.0µs ± 1% 60.9µs ± 1% ~ (p=0.169 n=20+18)
Revcomp-12 533ms ± 1% 535ms ± 1% ~ (p=0.071 n=19+17)
Template-12 68.1ms ± 2% 73.0ms ± 1% +7.26% (p=0.000 n=19+20)
TimeParse-12 355ns ± 2% 356ns ± 2% ~ (p=0.530 n=19+20)
TimeFormat-12 357ns ± 2% 347ns ± 1% -2.59% (p=0.000 n=20+19)
[Geo mean] 62.1µs 62.3µs +0.31%
name old speed new speed delta
GobDecode-12 88.7MB/s ± 1% 88.9MB/s ± 1% ~ (p=0.377 n=18+20)
GobEncode-12 118MB/s ± 1% 118MB/s ± 1% -0.37% (p=0.015 n=20+20)
Gzip-12 60.9MB/s ± 3% 60.9MB/s ± 1% ~ (p=0.944 n=19+17)
Gunzip-12 464MB/s ± 1% 461MB/s ± 2% -0.64% (p=0.004 n=19+20)
JSONEncode-12 115MB/s ± 1% 115MB/s ± 1% ~ (p=0.236 n=20+18)
JSONDecode-12 33.2MB/s ± 1% 32.0MB/s ± 1% -3.71% (p=0.000 n=19+20)
GoParse-12 15.5MB/s ± 2% 15.5MB/s ± 2% ~ (p=0.702 n=19+20)
RegexpMatchEasy0_32-12 320MB/s ± 1% 318MB/s ± 2% ~ (p=0.094 n=18+20)
RegexpMatchEasy0_1K-12 3.00GB/s ± 1% 2.99GB/s ± 1% ~ (p=0.194 n=20+19)
RegexpMatchEasy1_32-12 388MB/s ± 2% 385MB/s ± 2% -0.83% (p=0.008 n=19+19)
RegexpMatchEasy1_1K-12 2.07GB/s ± 1% 2.07GB/s ± 1% ~ (p=0.964 n=19+18)
RegexpMatchMedium_32-12 7.68MB/s ± 1% 7.64MB/s ± 2% -0.57% (p=0.020 n=19+20)
RegexpMatchMedium_1K-12 26.1MB/s ± 1% 26.1MB/s ± 1% ~ (p=0.211 n=18+18)
RegexpMatchHard_32-12 15.8MB/s ± 1% 15.8MB/s ± 1% ~ (p=0.180 n=18+19)
RegexpMatchHard_1K-12 16.8MB/s ± 1% 16.8MB/s ± 2% ~ (p=0.236 n=20+19)
Revcomp-12 477MB/s ± 1% 475MB/s ± 1% ~ (p=0.071 n=19+17)
Template-12 28.5MB/s ± 2% 26.6MB/s ± 1% -6.77% (p=0.000 n=19+20)
[Geo mean] 100MB/s 99.0MB/s -0.82%
Change-Id: I875bf6ceb306d1ee2f470cabf88aa6ede27c47a0
Reviewed-on: https://go-review.googlesource.com/16059
Reviewed-by: Rick Hudson <rlh@golang.org>
Run-TryBot: Austin Clements <austin@google.com>
TryBot-Result: Gobot Gobot <gobot@golang.org>
2015-10-19 11:46:32 -06:00
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// gcMarkRootPrepare queues root scanning jobs (stacks, globals, and
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// some miscellany) and initializes scanning-related state.
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2015-10-16 14:52:26 -06:00
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//
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// The caller must have call gcCopySpans().
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//
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2016-03-04 09:58:26 -07:00
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// The world must be stopped.
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//
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2015-10-16 14:52:26 -06:00
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//go:nowritebarrier
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runtime: perform concurrent scan in GC workers
Currently the concurrent root scan is performed in its entirety by the
GC coordinator before entering concurrent mark (which enables GC
workers). This scan is done sequentially, which can prolong the scan
phase, delay the mark phase, and means that the scan phase does not
obey the 25% CPU goal. Furthermore, there's no need to complete the
root scan before starting marking (in fact, we already allow GC
assists to happen during the scan phase), so this acts as an
unnecessary barrier between root scanning and marking.
This change shifts the root scan work out of the GC coordinator and in
to the GC workers. The coordinator simply sets up the scan state and
enqueues the right number of root scan jobs. The GC workers then drain
the root scan jobs prior to draining heap scan jobs.
This parallelizes the root scan process, makes it obey the 25% CPU
goal, and effectively eliminates root scanning as an isolated phase,
allowing the system to smoothly transition from root scanning to heap
marking. This also eliminates a major non-STW responsibility of the GC
coordinator, which will make it easier to switch to a decentralized
state machine. Finally, it puts us in a good position to perform root
scanning in assists as well, which will help satisfy assists at the
beginning of the GC cycle.
This is mostly straightforward. One tricky aspect is that we have to
deal with preemption deadlock: where two non-preemptible gorountines
are trying to preempt each other to perform a stack scan. Given the
context where this happens, the only instance of this is two
background workers trying to scan each other. We avoid this by simply
not scanning the stacks of background workers during the concurrent
phase; this is safe because we'll scan them during mark termination
(and their stacks are *very* small and should not contain any new
pointers).
This change also switches the root marking during mark termination to
use the same gcDrain-based code path as concurrent mark. This
shouldn't affect performance because STW root marking was already
parallel and tasks switched to heap marking immediately when no more
root marking tasks were available. However, it simplifies the code and
unifies these code paths.
This has negligible effect on the go1 benchmarks. It slightly slows
down the garbage benchmark, possibly by making GC run slightly more
frequently.
name old time/op new time/op delta
XBenchGarbage-12 5.10ms ± 1% 5.24ms ± 1% +2.87% (p=0.000 n=18+18)
name old time/op new time/op delta
BinaryTree17-12 3.25s ± 3% 3.20s ± 5% -1.57% (p=0.013 n=20+20)
Fannkuch11-12 2.45s ± 1% 2.46s ± 1% +0.38% (p=0.019 n=20+18)
FmtFprintfEmpty-12 49.7ns ± 3% 49.9ns ± 4% ~ (p=0.851 n=19+20)
FmtFprintfString-12 170ns ± 2% 170ns ± 1% ~ (p=0.775 n=20+19)
FmtFprintfInt-12 161ns ± 1% 160ns ± 1% -0.78% (p=0.000 n=19+18)
FmtFprintfIntInt-12 267ns ± 1% 270ns ± 1% +1.04% (p=0.000 n=19+19)
FmtFprintfPrefixedInt-12 238ns ± 2% 238ns ± 1% ~ (p=0.133 n=18+19)
FmtFprintfFloat-12 311ns ± 1% 310ns ± 2% -0.35% (p=0.023 n=20+19)
FmtManyArgs-12 1.08µs ± 1% 1.06µs ± 1% -2.31% (p=0.000 n=20+20)
GobDecode-12 8.65ms ± 1% 8.63ms ± 1% ~ (p=0.377 n=18+20)
GobEncode-12 6.49ms ± 1% 6.52ms ± 1% +0.37% (p=0.015 n=20+20)
Gzip-12 319ms ± 3% 318ms ± 1% ~ (p=0.975 n=19+17)
Gunzip-12 41.9ms ± 1% 42.1ms ± 2% +0.65% (p=0.004 n=19+20)
HTTPClientServer-12 61.7µs ± 1% 62.6µs ± 1% +1.40% (p=0.000 n=18+20)
JSONEncode-12 16.8ms ± 1% 16.9ms ± 1% ~ (p=0.239 n=20+18)
JSONDecode-12 58.4ms ± 1% 60.7ms ± 1% +3.85% (p=0.000 n=19+20)
Mandelbrot200-12 3.86ms ± 0% 3.86ms ± 1% ~ (p=0.092 n=18+19)
GoParse-12 3.75ms ± 2% 3.75ms ± 2% ~ (p=0.708 n=19+20)
RegexpMatchEasy0_32-12 100ns ± 1% 100ns ± 2% +0.60% (p=0.010 n=17+20)
RegexpMatchEasy0_1K-12 341ns ± 1% 342ns ± 2% ~ (p=0.203 n=20+19)
RegexpMatchEasy1_32-12 82.5ns ± 2% 83.2ns ± 2% +0.83% (p=0.007 n=19+19)
RegexpMatchEasy1_1K-12 495ns ± 1% 495ns ± 2% ~ (p=0.970 n=19+18)
RegexpMatchMedium_32-12 130ns ± 2% 130ns ± 2% +0.59% (p=0.039 n=19+20)
RegexpMatchMedium_1K-12 39.2µs ± 1% 39.3µs ± 1% ~ (p=0.214 n=18+18)
RegexpMatchHard_32-12 2.03µs ± 2% 2.02µs ± 1% ~ (p=0.166 n=18+19)
RegexpMatchHard_1K-12 61.0µs ± 1% 60.9µs ± 1% ~ (p=0.169 n=20+18)
Revcomp-12 533ms ± 1% 535ms ± 1% ~ (p=0.071 n=19+17)
Template-12 68.1ms ± 2% 73.0ms ± 1% +7.26% (p=0.000 n=19+20)
TimeParse-12 355ns ± 2% 356ns ± 2% ~ (p=0.530 n=19+20)
TimeFormat-12 357ns ± 2% 347ns ± 1% -2.59% (p=0.000 n=20+19)
[Geo mean] 62.1µs 62.3µs +0.31%
name old speed new speed delta
GobDecode-12 88.7MB/s ± 1% 88.9MB/s ± 1% ~ (p=0.377 n=18+20)
GobEncode-12 118MB/s ± 1% 118MB/s ± 1% -0.37% (p=0.015 n=20+20)
Gzip-12 60.9MB/s ± 3% 60.9MB/s ± 1% ~ (p=0.944 n=19+17)
Gunzip-12 464MB/s ± 1% 461MB/s ± 2% -0.64% (p=0.004 n=19+20)
JSONEncode-12 115MB/s ± 1% 115MB/s ± 1% ~ (p=0.236 n=20+18)
JSONDecode-12 33.2MB/s ± 1% 32.0MB/s ± 1% -3.71% (p=0.000 n=19+20)
GoParse-12 15.5MB/s ± 2% 15.5MB/s ± 2% ~ (p=0.702 n=19+20)
RegexpMatchEasy0_32-12 320MB/s ± 1% 318MB/s ± 2% ~ (p=0.094 n=18+20)
RegexpMatchEasy0_1K-12 3.00GB/s ± 1% 2.99GB/s ± 1% ~ (p=0.194 n=20+19)
RegexpMatchEasy1_32-12 388MB/s ± 2% 385MB/s ± 2% -0.83% (p=0.008 n=19+19)
RegexpMatchEasy1_1K-12 2.07GB/s ± 1% 2.07GB/s ± 1% ~ (p=0.964 n=19+18)
RegexpMatchMedium_32-12 7.68MB/s ± 1% 7.64MB/s ± 2% -0.57% (p=0.020 n=19+20)
RegexpMatchMedium_1K-12 26.1MB/s ± 1% 26.1MB/s ± 1% ~ (p=0.211 n=18+18)
RegexpMatchHard_32-12 15.8MB/s ± 1% 15.8MB/s ± 1% ~ (p=0.180 n=18+19)
RegexpMatchHard_1K-12 16.8MB/s ± 1% 16.8MB/s ± 2% ~ (p=0.236 n=20+19)
Revcomp-12 477MB/s ± 1% 475MB/s ± 1% ~ (p=0.071 n=19+17)
Template-12 28.5MB/s ± 2% 26.6MB/s ± 1% -6.77% (p=0.000 n=19+20)
[Geo mean] 100MB/s 99.0MB/s -0.82%
Change-Id: I875bf6ceb306d1ee2f470cabf88aa6ede27c47a0
Reviewed-on: https://go-review.googlesource.com/16059
Reviewed-by: Rick Hudson <rlh@golang.org>
Run-TryBot: Austin Clements <austin@google.com>
TryBot-Result: Gobot Gobot <gobot@golang.org>
2015-10-19 11:46:32 -06:00
|
|
|
|
func gcMarkRootPrepare() {
|
2016-10-25 11:56:37 -06:00
|
|
|
|
if gcphase == _GCmarktermination {
|
|
|
|
|
work.nFlushCacheRoots = int(gomaxprocs)
|
|
|
|
|
} else {
|
|
|
|
|
work.nFlushCacheRoots = 0
|
|
|
|
|
}
|
|
|
|
|
|
2015-10-16 14:52:26 -06:00
|
|
|
|
// Compute how many data and BSS root blocks there are.
|
|
|
|
|
nBlocks := func(bytes uintptr) int {
|
|
|
|
|
return int((bytes + rootBlockBytes - 1) / rootBlockBytes)
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
work.nDataRoots = 0
|
2016-03-18 09:27:59 -06:00
|
|
|
|
work.nBSSRoots = 0
|
|
|
|
|
|
|
|
|
|
// Only scan globals once per cycle; preferably concurrently.
|
|
|
|
|
if !work.markrootDone {
|
2016-10-30 18:30:38 -06:00
|
|
|
|
for _, datap := range activeModules() {
|
2016-03-18 09:27:59 -06:00
|
|
|
|
nDataRoots := nBlocks(datap.edata - datap.data)
|
|
|
|
|
if nDataRoots > work.nDataRoots {
|
|
|
|
|
work.nDataRoots = nDataRoots
|
|
|
|
|
}
|
2015-10-16 14:52:26 -06:00
|
|
|
|
}
|
|
|
|
|
|
2016-10-30 18:30:38 -06:00
|
|
|
|
for _, datap := range activeModules() {
|
2016-03-18 09:27:59 -06:00
|
|
|
|
nBSSRoots := nBlocks(datap.ebss - datap.bss)
|
|
|
|
|
if nBSSRoots > work.nBSSRoots {
|
|
|
|
|
work.nBSSRoots = nBSSRoots
|
|
|
|
|
}
|
2015-10-16 14:52:26 -06:00
|
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
|
2016-03-11 11:54:55 -07:00
|
|
|
|
if !work.markrootDone {
|
|
|
|
|
// On the first markroot, we need to scan span roots.
|
|
|
|
|
// In concurrent GC, this happens during concurrent
|
|
|
|
|
// mark and we depend on addfinalizer to ensure the
|
|
|
|
|
// above invariants for objects that get finalizers
|
|
|
|
|
// after concurrent mark. In STW GC, this will happen
|
|
|
|
|
// during mark termination.
|
2016-10-05 16:32:21 -06:00
|
|
|
|
//
|
|
|
|
|
// We're only interested in scanning the in-use spans,
|
|
|
|
|
// which will all be swept at this point. More spans
|
|
|
|
|
// may be added to this list during concurrent GC, but
|
|
|
|
|
// we only care about spans that were allocated before
|
|
|
|
|
// this mark phase.
|
|
|
|
|
work.nSpanRoots = mheap_.sweepSpans[mheap_.sweepgen/2%2].numBlocks()
|
2016-03-04 09:58:26 -07:00
|
|
|
|
|
|
|
|
|
// On the first markroot, we need to scan all Gs. Gs
|
|
|
|
|
// may be created after this point, but it's okay that
|
|
|
|
|
// we ignore them because they begin life without any
|
|
|
|
|
// roots, so there's nothing to scan, and any roots
|
|
|
|
|
// they create during the concurrent phase will be
|
|
|
|
|
// scanned during mark termination. During mark
|
|
|
|
|
// termination, allglen isn't changing, so we'll scan
|
|
|
|
|
// all Gs.
|
|
|
|
|
work.nStackRoots = int(atomic.Loaduintptr(&allglen))
|
2016-03-11 11:54:55 -07:00
|
|
|
|
} else {
|
|
|
|
|
// We've already scanned span roots and kept the scan
|
|
|
|
|
// up-to-date during concurrent mark.
|
|
|
|
|
work.nSpanRoots = 0
|
2015-10-16 14:52:26 -06:00
|
|
|
|
|
2017-02-09 09:50:26 -07:00
|
|
|
|
// The hybrid barrier ensures that stacks can't
|
|
|
|
|
// contain pointers to unmarked objects, so on the
|
|
|
|
|
// second markroot, there's no need to scan stacks.
|
2016-03-04 09:58:26 -07:00
|
|
|
|
work.nStackRoots = 0
|
2017-02-09 09:50:26 -07:00
|
|
|
|
|
|
|
|
|
if debug.gcrescanstacks > 0 {
|
|
|
|
|
// Scan stacks anyway for debugging.
|
|
|
|
|
work.nStackRoots = int(atomic.Loaduintptr(&allglen))
|
|
|
|
|
}
|
2016-03-04 09:58:26 -07:00
|
|
|
|
}
|
2015-10-16 14:52:26 -06:00
|
|
|
|
|
runtime: perform concurrent scan in GC workers
Currently the concurrent root scan is performed in its entirety by the
GC coordinator before entering concurrent mark (which enables GC
workers). This scan is done sequentially, which can prolong the scan
phase, delay the mark phase, and means that the scan phase does not
obey the 25% CPU goal. Furthermore, there's no need to complete the
root scan before starting marking (in fact, we already allow GC
assists to happen during the scan phase), so this acts as an
unnecessary barrier between root scanning and marking.
This change shifts the root scan work out of the GC coordinator and in
to the GC workers. The coordinator simply sets up the scan state and
enqueues the right number of root scan jobs. The GC workers then drain
the root scan jobs prior to draining heap scan jobs.
This parallelizes the root scan process, makes it obey the 25% CPU
goal, and effectively eliminates root scanning as an isolated phase,
allowing the system to smoothly transition from root scanning to heap
marking. This also eliminates a major non-STW responsibility of the GC
coordinator, which will make it easier to switch to a decentralized
state machine. Finally, it puts us in a good position to perform root
scanning in assists as well, which will help satisfy assists at the
beginning of the GC cycle.
This is mostly straightforward. One tricky aspect is that we have to
deal with preemption deadlock: where two non-preemptible gorountines
are trying to preempt each other to perform a stack scan. Given the
context where this happens, the only instance of this is two
background workers trying to scan each other. We avoid this by simply
not scanning the stacks of background workers during the concurrent
phase; this is safe because we'll scan them during mark termination
(and their stacks are *very* small and should not contain any new
pointers).
This change also switches the root marking during mark termination to
use the same gcDrain-based code path as concurrent mark. This
shouldn't affect performance because STW root marking was already
parallel and tasks switched to heap marking immediately when no more
root marking tasks were available. However, it simplifies the code and
unifies these code paths.
This has negligible effect on the go1 benchmarks. It slightly slows
down the garbage benchmark, possibly by making GC run slightly more
frequently.
name old time/op new time/op delta
XBenchGarbage-12 5.10ms ± 1% 5.24ms ± 1% +2.87% (p=0.000 n=18+18)
name old time/op new time/op delta
BinaryTree17-12 3.25s ± 3% 3.20s ± 5% -1.57% (p=0.013 n=20+20)
Fannkuch11-12 2.45s ± 1% 2.46s ± 1% +0.38% (p=0.019 n=20+18)
FmtFprintfEmpty-12 49.7ns ± 3% 49.9ns ± 4% ~ (p=0.851 n=19+20)
FmtFprintfString-12 170ns ± 2% 170ns ± 1% ~ (p=0.775 n=20+19)
FmtFprintfInt-12 161ns ± 1% 160ns ± 1% -0.78% (p=0.000 n=19+18)
FmtFprintfIntInt-12 267ns ± 1% 270ns ± 1% +1.04% (p=0.000 n=19+19)
FmtFprintfPrefixedInt-12 238ns ± 2% 238ns ± 1% ~ (p=0.133 n=18+19)
FmtFprintfFloat-12 311ns ± 1% 310ns ± 2% -0.35% (p=0.023 n=20+19)
FmtManyArgs-12 1.08µs ± 1% 1.06µs ± 1% -2.31% (p=0.000 n=20+20)
GobDecode-12 8.65ms ± 1% 8.63ms ± 1% ~ (p=0.377 n=18+20)
GobEncode-12 6.49ms ± 1% 6.52ms ± 1% +0.37% (p=0.015 n=20+20)
Gzip-12 319ms ± 3% 318ms ± 1% ~ (p=0.975 n=19+17)
Gunzip-12 41.9ms ± 1% 42.1ms ± 2% +0.65% (p=0.004 n=19+20)
HTTPClientServer-12 61.7µs ± 1% 62.6µs ± 1% +1.40% (p=0.000 n=18+20)
JSONEncode-12 16.8ms ± 1% 16.9ms ± 1% ~ (p=0.239 n=20+18)
JSONDecode-12 58.4ms ± 1% 60.7ms ± 1% +3.85% (p=0.000 n=19+20)
Mandelbrot200-12 3.86ms ± 0% 3.86ms ± 1% ~ (p=0.092 n=18+19)
GoParse-12 3.75ms ± 2% 3.75ms ± 2% ~ (p=0.708 n=19+20)
RegexpMatchEasy0_32-12 100ns ± 1% 100ns ± 2% +0.60% (p=0.010 n=17+20)
RegexpMatchEasy0_1K-12 341ns ± 1% 342ns ± 2% ~ (p=0.203 n=20+19)
RegexpMatchEasy1_32-12 82.5ns ± 2% 83.2ns ± 2% +0.83% (p=0.007 n=19+19)
RegexpMatchEasy1_1K-12 495ns ± 1% 495ns ± 2% ~ (p=0.970 n=19+18)
RegexpMatchMedium_32-12 130ns ± 2% 130ns ± 2% +0.59% (p=0.039 n=19+20)
RegexpMatchMedium_1K-12 39.2µs ± 1% 39.3µs ± 1% ~ (p=0.214 n=18+18)
RegexpMatchHard_32-12 2.03µs ± 2% 2.02µs ± 1% ~ (p=0.166 n=18+19)
RegexpMatchHard_1K-12 61.0µs ± 1% 60.9µs ± 1% ~ (p=0.169 n=20+18)
Revcomp-12 533ms ± 1% 535ms ± 1% ~ (p=0.071 n=19+17)
Template-12 68.1ms ± 2% 73.0ms ± 1% +7.26% (p=0.000 n=19+20)
TimeParse-12 355ns ± 2% 356ns ± 2% ~ (p=0.530 n=19+20)
TimeFormat-12 357ns ± 2% 347ns ± 1% -2.59% (p=0.000 n=20+19)
[Geo mean] 62.1µs 62.3µs +0.31%
name old speed new speed delta
GobDecode-12 88.7MB/s ± 1% 88.9MB/s ± 1% ~ (p=0.377 n=18+20)
GobEncode-12 118MB/s ± 1% 118MB/s ± 1% -0.37% (p=0.015 n=20+20)
Gzip-12 60.9MB/s ± 3% 60.9MB/s ± 1% ~ (p=0.944 n=19+17)
Gunzip-12 464MB/s ± 1% 461MB/s ± 2% -0.64% (p=0.004 n=19+20)
JSONEncode-12 115MB/s ± 1% 115MB/s ± 1% ~ (p=0.236 n=20+18)
JSONDecode-12 33.2MB/s ± 1% 32.0MB/s ± 1% -3.71% (p=0.000 n=19+20)
GoParse-12 15.5MB/s ± 2% 15.5MB/s ± 2% ~ (p=0.702 n=19+20)
RegexpMatchEasy0_32-12 320MB/s ± 1% 318MB/s ± 2% ~ (p=0.094 n=18+20)
RegexpMatchEasy0_1K-12 3.00GB/s ± 1% 2.99GB/s ± 1% ~ (p=0.194 n=20+19)
RegexpMatchEasy1_32-12 388MB/s ± 2% 385MB/s ± 2% -0.83% (p=0.008 n=19+19)
RegexpMatchEasy1_1K-12 2.07GB/s ± 1% 2.07GB/s ± 1% ~ (p=0.964 n=19+18)
RegexpMatchMedium_32-12 7.68MB/s ± 1% 7.64MB/s ± 2% -0.57% (p=0.020 n=19+20)
RegexpMatchMedium_1K-12 26.1MB/s ± 1% 26.1MB/s ± 1% ~ (p=0.211 n=18+18)
RegexpMatchHard_32-12 15.8MB/s ± 1% 15.8MB/s ± 1% ~ (p=0.180 n=18+19)
RegexpMatchHard_1K-12 16.8MB/s ± 1% 16.8MB/s ± 2% ~ (p=0.236 n=20+19)
Revcomp-12 477MB/s ± 1% 475MB/s ± 1% ~ (p=0.071 n=19+17)
Template-12 28.5MB/s ± 2% 26.6MB/s ± 1% -6.77% (p=0.000 n=19+20)
[Geo mean] 100MB/s 99.0MB/s -0.82%
Change-Id: I875bf6ceb306d1ee2f470cabf88aa6ede27c47a0
Reviewed-on: https://go-review.googlesource.com/16059
Reviewed-by: Rick Hudson <rlh@golang.org>
Run-TryBot: Austin Clements <austin@google.com>
TryBot-Result: Gobot Gobot <gobot@golang.org>
2015-10-19 11:46:32 -06:00
|
|
|
|
work.markrootNext = 0
|
2017-02-09 09:50:26 -07:00
|
|
|
|
work.markrootJobs = uint32(fixedRootCount + work.nFlushCacheRoots + work.nDataRoots + work.nBSSRoots + work.nSpanRoots + work.nStackRoots)
|
2015-10-16 14:52:26 -06:00
|
|
|
|
}
|
|
|
|
|
|
runtime: perform concurrent scan in GC workers
Currently the concurrent root scan is performed in its entirety by the
GC coordinator before entering concurrent mark (which enables GC
workers). This scan is done sequentially, which can prolong the scan
phase, delay the mark phase, and means that the scan phase does not
obey the 25% CPU goal. Furthermore, there's no need to complete the
root scan before starting marking (in fact, we already allow GC
assists to happen during the scan phase), so this acts as an
unnecessary barrier between root scanning and marking.
This change shifts the root scan work out of the GC coordinator and in
to the GC workers. The coordinator simply sets up the scan state and
enqueues the right number of root scan jobs. The GC workers then drain
the root scan jobs prior to draining heap scan jobs.
This parallelizes the root scan process, makes it obey the 25% CPU
goal, and effectively eliminates root scanning as an isolated phase,
allowing the system to smoothly transition from root scanning to heap
marking. This also eliminates a major non-STW responsibility of the GC
coordinator, which will make it easier to switch to a decentralized
state machine. Finally, it puts us in a good position to perform root
scanning in assists as well, which will help satisfy assists at the
beginning of the GC cycle.
This is mostly straightforward. One tricky aspect is that we have to
deal with preemption deadlock: where two non-preemptible gorountines
are trying to preempt each other to perform a stack scan. Given the
context where this happens, the only instance of this is two
background workers trying to scan each other. We avoid this by simply
not scanning the stacks of background workers during the concurrent
phase; this is safe because we'll scan them during mark termination
(and their stacks are *very* small and should not contain any new
pointers).
This change also switches the root marking during mark termination to
use the same gcDrain-based code path as concurrent mark. This
shouldn't affect performance because STW root marking was already
parallel and tasks switched to heap marking immediately when no more
root marking tasks were available. However, it simplifies the code and
unifies these code paths.
This has negligible effect on the go1 benchmarks. It slightly slows
down the garbage benchmark, possibly by making GC run slightly more
frequently.
name old time/op new time/op delta
XBenchGarbage-12 5.10ms ± 1% 5.24ms ± 1% +2.87% (p=0.000 n=18+18)
name old time/op new time/op delta
BinaryTree17-12 3.25s ± 3% 3.20s ± 5% -1.57% (p=0.013 n=20+20)
Fannkuch11-12 2.45s ± 1% 2.46s ± 1% +0.38% (p=0.019 n=20+18)
FmtFprintfEmpty-12 49.7ns ± 3% 49.9ns ± 4% ~ (p=0.851 n=19+20)
FmtFprintfString-12 170ns ± 2% 170ns ± 1% ~ (p=0.775 n=20+19)
FmtFprintfInt-12 161ns ± 1% 160ns ± 1% -0.78% (p=0.000 n=19+18)
FmtFprintfIntInt-12 267ns ± 1% 270ns ± 1% +1.04% (p=0.000 n=19+19)
FmtFprintfPrefixedInt-12 238ns ± 2% 238ns ± 1% ~ (p=0.133 n=18+19)
FmtFprintfFloat-12 311ns ± 1% 310ns ± 2% -0.35% (p=0.023 n=20+19)
FmtManyArgs-12 1.08µs ± 1% 1.06µs ± 1% -2.31% (p=0.000 n=20+20)
GobDecode-12 8.65ms ± 1% 8.63ms ± 1% ~ (p=0.377 n=18+20)
GobEncode-12 6.49ms ± 1% 6.52ms ± 1% +0.37% (p=0.015 n=20+20)
Gzip-12 319ms ± 3% 318ms ± 1% ~ (p=0.975 n=19+17)
Gunzip-12 41.9ms ± 1% 42.1ms ± 2% +0.65% (p=0.004 n=19+20)
HTTPClientServer-12 61.7µs ± 1% 62.6µs ± 1% +1.40% (p=0.000 n=18+20)
JSONEncode-12 16.8ms ± 1% 16.9ms ± 1% ~ (p=0.239 n=20+18)
JSONDecode-12 58.4ms ± 1% 60.7ms ± 1% +3.85% (p=0.000 n=19+20)
Mandelbrot200-12 3.86ms ± 0% 3.86ms ± 1% ~ (p=0.092 n=18+19)
GoParse-12 3.75ms ± 2% 3.75ms ± 2% ~ (p=0.708 n=19+20)
RegexpMatchEasy0_32-12 100ns ± 1% 100ns ± 2% +0.60% (p=0.010 n=17+20)
RegexpMatchEasy0_1K-12 341ns ± 1% 342ns ± 2% ~ (p=0.203 n=20+19)
RegexpMatchEasy1_32-12 82.5ns ± 2% 83.2ns ± 2% +0.83% (p=0.007 n=19+19)
RegexpMatchEasy1_1K-12 495ns ± 1% 495ns ± 2% ~ (p=0.970 n=19+18)
RegexpMatchMedium_32-12 130ns ± 2% 130ns ± 2% +0.59% (p=0.039 n=19+20)
RegexpMatchMedium_1K-12 39.2µs ± 1% 39.3µs ± 1% ~ (p=0.214 n=18+18)
RegexpMatchHard_32-12 2.03µs ± 2% 2.02µs ± 1% ~ (p=0.166 n=18+19)
RegexpMatchHard_1K-12 61.0µs ± 1% 60.9µs ± 1% ~ (p=0.169 n=20+18)
Revcomp-12 533ms ± 1% 535ms ± 1% ~ (p=0.071 n=19+17)
Template-12 68.1ms ± 2% 73.0ms ± 1% +7.26% (p=0.000 n=19+20)
TimeParse-12 355ns ± 2% 356ns ± 2% ~ (p=0.530 n=19+20)
TimeFormat-12 357ns ± 2% 347ns ± 1% -2.59% (p=0.000 n=20+19)
[Geo mean] 62.1µs 62.3µs +0.31%
name old speed new speed delta
GobDecode-12 88.7MB/s ± 1% 88.9MB/s ± 1% ~ (p=0.377 n=18+20)
GobEncode-12 118MB/s ± 1% 118MB/s ± 1% -0.37% (p=0.015 n=20+20)
Gzip-12 60.9MB/s ± 3% 60.9MB/s ± 1% ~ (p=0.944 n=19+17)
Gunzip-12 464MB/s ± 1% 461MB/s ± 2% -0.64% (p=0.004 n=19+20)
JSONEncode-12 115MB/s ± 1% 115MB/s ± 1% ~ (p=0.236 n=20+18)
JSONDecode-12 33.2MB/s ± 1% 32.0MB/s ± 1% -3.71% (p=0.000 n=19+20)
GoParse-12 15.5MB/s ± 2% 15.5MB/s ± 2% ~ (p=0.702 n=19+20)
RegexpMatchEasy0_32-12 320MB/s ± 1% 318MB/s ± 2% ~ (p=0.094 n=18+20)
RegexpMatchEasy0_1K-12 3.00GB/s ± 1% 2.99GB/s ± 1% ~ (p=0.194 n=20+19)
RegexpMatchEasy1_32-12 388MB/s ± 2% 385MB/s ± 2% -0.83% (p=0.008 n=19+19)
RegexpMatchEasy1_1K-12 2.07GB/s ± 1% 2.07GB/s ± 1% ~ (p=0.964 n=19+18)
RegexpMatchMedium_32-12 7.68MB/s ± 1% 7.64MB/s ± 2% -0.57% (p=0.020 n=19+20)
RegexpMatchMedium_1K-12 26.1MB/s ± 1% 26.1MB/s ± 1% ~ (p=0.211 n=18+18)
RegexpMatchHard_32-12 15.8MB/s ± 1% 15.8MB/s ± 1% ~ (p=0.180 n=18+19)
RegexpMatchHard_1K-12 16.8MB/s ± 1% 16.8MB/s ± 2% ~ (p=0.236 n=20+19)
Revcomp-12 477MB/s ± 1% 475MB/s ± 1% ~ (p=0.071 n=19+17)
Template-12 28.5MB/s ± 2% 26.6MB/s ± 1% -6.77% (p=0.000 n=19+20)
[Geo mean] 100MB/s 99.0MB/s -0.82%
Change-Id: I875bf6ceb306d1ee2f470cabf88aa6ede27c47a0
Reviewed-on: https://go-review.googlesource.com/16059
Reviewed-by: Rick Hudson <rlh@golang.org>
Run-TryBot: Austin Clements <austin@google.com>
TryBot-Result: Gobot Gobot <gobot@golang.org>
2015-10-19 11:46:32 -06:00
|
|
|
|
// gcMarkRootCheck checks that all roots have been scanned. It is
|
|
|
|
|
// purely for debugging.
|
|
|
|
|
func gcMarkRootCheck() {
|
|
|
|
|
if work.markrootNext < work.markrootJobs {
|
|
|
|
|
print(work.markrootNext, " of ", work.markrootJobs, " markroot jobs done\n")
|
|
|
|
|
throw("left over markroot jobs")
|
|
|
|
|
}
|
2015-02-19 11:38:46 -07:00
|
|
|
|
|
|
|
|
|
lock(&allglock)
|
2016-03-04 09:58:26 -07:00
|
|
|
|
// Check that stacks have been scanned.
|
2016-11-17 08:48:40 -07:00
|
|
|
|
var gp *g
|
runtime: disable stack rescanning by default
With the hybrid barrier in place, we can now disable stack rescanning
by default. This commit adds a "gcrescanstacks" GODEBUG variable that
is off by default but can be set to re-enable STW stack rescanning.
The plan is to leave this off but available in Go 1.8 for debugging
and as a fallback.
With this change, worst-case mark termination time at GOMAXPROCS=12
*not* including time spent stopping the world (which is still
unbounded) is reliably under 100 µs, with a 95%ile around 50 µs in
every benchmark I tried (the go1 benchmarks, the x/benchmarks garbage
benchmark, and the gcbench activegs and rpc benchmarks). Including
time spent stopping the world usually adds about 20 µs to total STW
time at GOMAXPROCS=12, but I've seen it add around 150 µs in these
benchmarks when a goroutine takes time to reach a safe point (see
issue #10958) or when stopping the world races with goroutine
switches. At GOMAXPROCS=1, where this isn't an issue, worst case STW
is typically 30 µs.
The go-gcbench activegs benchmark is designed to stress large numbers
of dirty stacks. This commit reduces 95%ile STW time for 500k dirty
stacks by nearly three orders of magnitude, from 150ms to 195µs.
This has little effect on the throughput of the go1 benchmarks or the
x/benchmarks benchmarks.
name old time/op new time/op delta
XGarbage-12 2.31ms ± 0% 2.32ms ± 1% +0.28% (p=0.001 n=17+16)
XJSON-12 12.4ms ± 0% 12.4ms ± 0% +0.41% (p=0.000 n=18+18)
XHTTP-12 11.8µs ± 0% 11.8µs ± 1% ~ (p=0.492 n=20+18)
It reduces the tail latency of the x/benchmarks HTTP benchmark:
name old p50-time new p50-time delta
XHTTP-12 489µs ± 0% 491µs ± 1% +0.54% (p=0.000 n=20+18)
name old p95-time new p95-time delta
XHTTP-12 957µs ± 1% 960µs ± 1% +0.28% (p=0.002 n=20+17)
name old p99-time new p99-time delta
XHTTP-12 1.76ms ± 1% 1.64ms ± 1% -7.20% (p=0.000 n=20+18)
Comparing to the beginning of the hybrid barrier implementation
("runtime: parallelize STW mcache flushing") shows that the hybrid
barrier trades a small performance impact for much better STW latency,
as expected. The magnitude of the performance impact is generally
small:
name old time/op new time/op delta
BinaryTree17-12 2.37s ± 1% 2.42s ± 1% +2.04% (p=0.000 n=19+18)
Fannkuch11-12 2.84s ± 0% 2.72s ± 0% -4.00% (p=0.000 n=19+19)
FmtFprintfEmpty-12 44.2ns ± 1% 45.2ns ± 1% +2.20% (p=0.000 n=17+19)
FmtFprintfString-12 130ns ± 1% 134ns ± 0% +2.94% (p=0.000 n=18+16)
FmtFprintfInt-12 114ns ± 1% 117ns ± 0% +3.01% (p=0.000 n=19+15)
FmtFprintfIntInt-12 176ns ± 1% 182ns ± 0% +3.17% (p=0.000 n=20+15)
FmtFprintfPrefixedInt-12 186ns ± 1% 187ns ± 1% +1.04% (p=0.000 n=20+19)
FmtFprintfFloat-12 251ns ± 1% 250ns ± 1% -0.74% (p=0.000 n=17+18)
FmtManyArgs-12 746ns ± 1% 761ns ± 0% +2.08% (p=0.000 n=19+20)
GobDecode-12 6.57ms ± 1% 6.65ms ± 1% +1.11% (p=0.000 n=19+20)
GobEncode-12 5.59ms ± 1% 5.65ms ± 0% +1.08% (p=0.000 n=17+17)
Gzip-12 223ms ± 1% 223ms ± 1% -0.31% (p=0.006 n=20+20)
Gunzip-12 38.0ms ± 0% 37.9ms ± 1% -0.25% (p=0.009 n=19+20)
HTTPClientServer-12 77.5µs ± 1% 78.9µs ± 2% +1.89% (p=0.000 n=20+20)
JSONEncode-12 14.7ms ± 1% 14.9ms ± 0% +0.75% (p=0.000 n=20+20)
JSONDecode-12 53.0ms ± 1% 55.9ms ± 1% +5.54% (p=0.000 n=19+19)
Mandelbrot200-12 3.81ms ± 0% 3.81ms ± 1% +0.20% (p=0.023 n=17+19)
GoParse-12 3.17ms ± 1% 3.18ms ± 1% ~ (p=0.057 n=20+19)
RegexpMatchEasy0_32-12 71.7ns ± 1% 70.4ns ± 1% -1.77% (p=0.000 n=19+20)
RegexpMatchEasy0_1K-12 946ns ± 0% 946ns ± 0% ~ (p=0.405 n=18+18)
RegexpMatchEasy1_32-12 67.2ns ± 2% 67.3ns ± 2% ~ (p=0.732 n=20+20)
RegexpMatchEasy1_1K-12 374ns ± 1% 378ns ± 1% +1.14% (p=0.000 n=18+19)
RegexpMatchMedium_32-12 107ns ± 1% 107ns ± 1% ~ (p=0.259 n=18+20)
RegexpMatchMedium_1K-12 34.2µs ± 1% 34.5µs ± 1% +1.03% (p=0.000 n=18+18)
RegexpMatchHard_32-12 1.77µs ± 1% 1.79µs ± 1% +0.73% (p=0.000 n=19+18)
RegexpMatchHard_1K-12 53.6µs ± 1% 54.2µs ± 1% +1.10% (p=0.000 n=19+19)
Template-12 61.5ms ± 1% 63.9ms ± 0% +3.96% (p=0.000 n=18+18)
TimeParse-12 303ns ± 1% 300ns ± 1% -1.08% (p=0.000 n=19+20)
TimeFormat-12 318ns ± 1% 320ns ± 0% +0.79% (p=0.000 n=19+19)
Revcomp-12 (*) 509ms ± 3% 504ms ± 0% ~ (p=0.967 n=7+12)
[Geo mean] 54.3µs 54.8µs +0.88%
(*) Revcomp is highly non-linear, so I only took samples with 2
iterations.
name old time/op new time/op delta
XGarbage-12 2.25ms ± 0% 2.32ms ± 1% +2.74% (p=0.000 n=16+16)
XJSON-12 11.6ms ± 0% 12.4ms ± 0% +6.81% (p=0.000 n=18+18)
XHTTP-12 11.6µs ± 1% 11.8µs ± 1% +1.62% (p=0.000 n=17+18)
Updates #17503.
Updates #17099, since you can't have a rescan list bug if there's no
rescan list. I'm not marking it as fixed, since gcrescanstacks can
still be set to re-enable the rescan lists.
Change-Id: I6e926b4c2dbd4cd56721869d4f817bdbb330b851
Reviewed-on: https://go-review.googlesource.com/31766
Reviewed-by: Rick Hudson <rlh@golang.org>
2016-10-23 09:07:49 -06:00
|
|
|
|
if gcphase == _GCmarktermination && debug.gcrescanstacks > 0 {
|
2016-03-04 09:58:26 -07:00
|
|
|
|
for i := 0; i < len(allgs); i++ {
|
2016-11-17 08:48:40 -07:00
|
|
|
|
gp = allgs[i]
|
2016-03-04 09:58:26 -07:00
|
|
|
|
if !(gp.gcscandone && gp.gcscanvalid) && readgstatus(gp) != _Gdead {
|
2016-11-17 08:48:40 -07:00
|
|
|
|
goto fail
|
2016-03-04 09:58:26 -07:00
|
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
} else {
|
|
|
|
|
for i := 0; i < work.nStackRoots; i++ {
|
2016-11-17 08:48:40 -07:00
|
|
|
|
gp = allgs[i]
|
2016-03-04 09:58:26 -07:00
|
|
|
|
if !gp.gcscandone {
|
2016-11-17 08:48:40 -07:00
|
|
|
|
goto fail
|
2016-03-04 09:58:26 -07:00
|
|
|
|
}
|
2015-02-19 11:38:46 -07:00
|
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
unlock(&allglock)
|
2016-11-17 08:48:40 -07:00
|
|
|
|
return
|
|
|
|
|
|
|
|
|
|
fail:
|
|
|
|
|
println("gp", gp, "goid", gp.goid,
|
|
|
|
|
"status", readgstatus(gp),
|
|
|
|
|
"gcscandone", gp.gcscandone,
|
|
|
|
|
"gcscanvalid", gp.gcscanvalid)
|
|
|
|
|
unlock(&allglock) // Avoid self-deadlock with traceback.
|
|
|
|
|
throw("scan missed a g")
|
2015-02-19 11:38:46 -07:00
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
// ptrmask for an allocation containing a single pointer.
|
cmd/internal/gc, runtime: use 1-bit bitmap for stack frames, data, bss
The bitmaps were 2 bits per pointer because we needed to distinguish
scalar, pointer, multiword, and we used the leftover value to distinguish
uninitialized from scalar, even though the garbage collector (GC) didn't care.
Now that there are no multiword structures from the GC's point of view,
cut the bitmaps down to 1 bit per pointer, recording just live pointer vs not.
The GC assumes the same layout for stack frames and for the maps
describing the global data and bss sections, so change them all in one CL.
The code still refers to 4-bit heap bitmaps and 2-bit "type bitmaps", since
the 2-bit representation lives (at least for now) in some of the reflect data.
Because these stack frame bitmaps are stored directly in the rodata in
the binary, this CL reduces the size of the 6g binary by about 1.1%.
Performance change is basically a wash, but using less memory,
and smaller binaries, and enables other bitmap reductions.
name old mean new mean delta
BenchmarkBinaryTree17 13.2s × (0.97,1.03) 13.0s × (0.99,1.01) -0.93% (p=0.005)
BenchmarkBinaryTree17-2 9.69s × (0.96,1.05) 9.51s × (0.96,1.03) -1.86% (p=0.001)
BenchmarkBinaryTree17-4 10.1s × (0.97,1.05) 10.0s × (0.96,1.05) ~ (p=0.141)
BenchmarkFannkuch11 4.35s × (0.99,1.01) 4.43s × (0.98,1.04) +1.75% (p=0.001)
BenchmarkFannkuch11-2 4.31s × (0.99,1.03) 4.32s × (1.00,1.00) ~ (p=0.095)
BenchmarkFannkuch11-4 4.32s × (0.99,1.02) 4.38s × (0.98,1.04) +1.38% (p=0.008)
BenchmarkFmtFprintfEmpty 83.5ns × (0.97,1.10) 87.3ns × (0.92,1.11) +4.55% (p=0.014)
BenchmarkFmtFprintfEmpty-2 81.8ns × (0.98,1.04) 82.5ns × (0.97,1.08) ~ (p=0.364)
BenchmarkFmtFprintfEmpty-4 80.9ns × (0.99,1.01) 82.6ns × (0.97,1.08) +2.12% (p=0.010)
BenchmarkFmtFprintfString 320ns × (0.95,1.04) 322ns × (0.97,1.05) ~ (p=0.368)
BenchmarkFmtFprintfString-2 303ns × (0.97,1.04) 304ns × (0.97,1.04) ~ (p=0.484)
BenchmarkFmtFprintfString-4 305ns × (0.97,1.05) 306ns × (0.98,1.05) ~ (p=0.543)
BenchmarkFmtFprintfInt 311ns × (0.98,1.03) 319ns × (0.97,1.03) +2.63% (p=0.000)
BenchmarkFmtFprintfInt-2 297ns × (0.98,1.04) 301ns × (0.97,1.04) +1.19% (p=0.023)
BenchmarkFmtFprintfInt-4 302ns × (0.98,1.02) 304ns × (0.97,1.03) ~ (p=0.126)
BenchmarkFmtFprintfIntInt 554ns × (0.96,1.05) 554ns × (0.97,1.03) ~ (p=0.975)
BenchmarkFmtFprintfIntInt-2 520ns × (0.98,1.03) 517ns × (0.98,1.02) ~ (p=0.153)
BenchmarkFmtFprintfIntInt-4 524ns × (0.98,1.02) 525ns × (0.98,1.03) ~ (p=0.597)
BenchmarkFmtFprintfPrefixedInt 433ns × (0.97,1.06) 434ns × (0.97,1.06) ~ (p=0.804)
BenchmarkFmtFprintfPrefixedInt-2 413ns × (0.98,1.04) 413ns × (0.98,1.03) ~ (p=0.881)
BenchmarkFmtFprintfPrefixedInt-4 420ns × (0.97,1.03) 421ns × (0.97,1.03) ~ (p=0.561)
BenchmarkFmtFprintfFloat 620ns × (0.99,1.03) 636ns × (0.97,1.03) +2.57% (p=0.000)
BenchmarkFmtFprintfFloat-2 601ns × (0.98,1.02) 617ns × (0.98,1.03) +2.58% (p=0.000)
BenchmarkFmtFprintfFloat-4 613ns × (0.98,1.03) 626ns × (0.98,1.02) +2.15% (p=0.000)
BenchmarkFmtManyArgs 2.19µs × (0.96,1.04) 2.23µs × (0.97,1.02) +1.65% (p=0.000)
BenchmarkFmtManyArgs-2 2.08µs × (0.98,1.03) 2.10µs × (0.99,1.02) +0.79% (p=0.019)
BenchmarkFmtManyArgs-4 2.10µs × (0.98,1.02) 2.13µs × (0.98,1.02) +1.72% (p=0.000)
BenchmarkGobDecode 21.3ms × (0.97,1.05) 21.1ms × (0.97,1.04) -1.36% (p=0.025)
BenchmarkGobDecode-2 20.0ms × (0.97,1.03) 19.2ms × (0.97,1.03) -4.00% (p=0.000)
BenchmarkGobDecode-4 19.5ms × (0.99,1.02) 19.0ms × (0.99,1.01) -2.39% (p=0.000)
BenchmarkGobEncode 18.3ms × (0.95,1.07) 18.1ms × (0.96,1.08) ~ (p=0.305)
BenchmarkGobEncode-2 16.8ms × (0.97,1.02) 16.4ms × (0.98,1.02) -2.79% (p=0.000)
BenchmarkGobEncode-4 15.4ms × (0.98,1.02) 15.4ms × (0.98,1.02) ~ (p=0.465)
BenchmarkGzip 650ms × (0.98,1.03) 655ms × (0.97,1.04) ~ (p=0.075)
BenchmarkGzip-2 652ms × (0.98,1.03) 655ms × (0.98,1.02) ~ (p=0.337)
BenchmarkGzip-4 656ms × (0.98,1.04) 653ms × (0.98,1.03) ~ (p=0.291)
BenchmarkGunzip 143ms × (1.00,1.01) 143ms × (1.00,1.01) ~ (p=0.507)
BenchmarkGunzip-2 143ms × (1.00,1.01) 143ms × (1.00,1.01) ~ (p=0.313)
BenchmarkGunzip-4 143ms × (1.00,1.01) 143ms × (1.00,1.01) ~ (p=0.312)
BenchmarkHTTPClientServer 110µs × (0.98,1.03) 109µs × (0.99,1.02) -1.40% (p=0.000)
BenchmarkHTTPClientServer-2 154µs × (0.90,1.08) 149µs × (0.90,1.08) -3.43% (p=0.007)
BenchmarkHTTPClientServer-4 138µs × (0.97,1.04) 138µs × (0.96,1.04) ~ (p=0.670)
BenchmarkJSONEncode 40.2ms × (0.98,1.02) 40.2ms × (0.98,1.05) ~ (p=0.828)
BenchmarkJSONEncode-2 35.1ms × (0.99,1.02) 35.2ms × (0.98,1.03) ~ (p=0.392)
BenchmarkJSONEncode-4 35.3ms × (0.98,1.03) 35.3ms × (0.98,1.02) ~ (p=0.813)
BenchmarkJSONDecode 119ms × (0.97,1.02) 117ms × (0.98,1.02) -1.80% (p=0.000)
BenchmarkJSONDecode-2 115ms × (0.99,1.02) 114ms × (0.98,1.02) -1.18% (p=0.000)
BenchmarkJSONDecode-4 116ms × (0.98,1.02) 114ms × (0.98,1.02) -1.43% (p=0.000)
BenchmarkMandelbrot200 6.03ms × (1.00,1.01) 6.03ms × (1.00,1.01) ~ (p=0.985)
BenchmarkMandelbrot200-2 6.03ms × (1.00,1.01) 6.02ms × (1.00,1.01) ~ (p=0.320)
BenchmarkMandelbrot200-4 6.03ms × (1.00,1.01) 6.03ms × (1.00,1.01) ~ (p=0.799)
BenchmarkGoParse 8.63ms × (0.89,1.10) 8.58ms × (0.93,1.09) ~ (p=0.667)
BenchmarkGoParse-2 8.20ms × (0.97,1.04) 8.37ms × (0.97,1.04) +1.96% (p=0.001)
BenchmarkGoParse-4 8.00ms × (0.98,1.02) 8.14ms × (0.99,1.02) +1.75% (p=0.000)
BenchmarkRegexpMatchEasy0_32 162ns × (1.00,1.01) 164ns × (0.98,1.04) +1.35% (p=0.011)
BenchmarkRegexpMatchEasy0_32-2 161ns × (1.00,1.01) 161ns × (1.00,1.00) ~ (p=0.185)
BenchmarkRegexpMatchEasy0_32-4 161ns × (1.00,1.00) 161ns × (1.00,1.00) -0.19% (p=0.001)
BenchmarkRegexpMatchEasy0_1K 540ns × (0.99,1.02) 566ns × (0.98,1.04) +4.98% (p=0.000)
BenchmarkRegexpMatchEasy0_1K-2 540ns × (0.99,1.01) 557ns × (0.99,1.01) +3.21% (p=0.000)
BenchmarkRegexpMatchEasy0_1K-4 541ns × (0.99,1.01) 559ns × (0.99,1.01) +3.26% (p=0.000)
BenchmarkRegexpMatchEasy1_32 139ns × (0.98,1.04) 139ns × (0.99,1.03) ~ (p=0.979)
BenchmarkRegexpMatchEasy1_32-2 139ns × (0.99,1.04) 139ns × (0.99,1.02) ~ (p=0.777)
BenchmarkRegexpMatchEasy1_32-4 139ns × (0.98,1.04) 139ns × (0.99,1.04) ~ (p=0.771)
BenchmarkRegexpMatchEasy1_1K 890ns × (0.99,1.03) 885ns × (1.00,1.01) -0.50% (p=0.004)
BenchmarkRegexpMatchEasy1_1K-2 888ns × (0.99,1.01) 885ns × (0.99,1.01) -0.37% (p=0.004)
BenchmarkRegexpMatchEasy1_1K-4 890ns × (0.99,1.02) 884ns × (1.00,1.00) -0.70% (p=0.000)
BenchmarkRegexpMatchMedium_32 252ns × (0.99,1.01) 251ns × (0.99,1.01) ~ (p=0.081)
BenchmarkRegexpMatchMedium_32-2 254ns × (0.99,1.04) 252ns × (0.99,1.01) -0.78% (p=0.027)
BenchmarkRegexpMatchMedium_32-4 253ns × (0.99,1.04) 252ns × (0.99,1.01) -0.70% (p=0.022)
BenchmarkRegexpMatchMedium_1K 72.9µs × (0.99,1.01) 72.7µs × (1.00,1.00) ~ (p=0.064)
BenchmarkRegexpMatchMedium_1K-2 74.1µs × (0.98,1.05) 72.9µs × (1.00,1.01) -1.61% (p=0.001)
BenchmarkRegexpMatchMedium_1K-4 73.6µs × (0.99,1.05) 72.8µs × (1.00,1.00) -1.13% (p=0.007)
BenchmarkRegexpMatchHard_32 3.88µs × (0.99,1.03) 3.92µs × (0.98,1.05) ~ (p=0.143)
BenchmarkRegexpMatchHard_32-2 3.89µs × (0.99,1.03) 3.93µs × (0.98,1.09) ~ (p=0.278)
BenchmarkRegexpMatchHard_32-4 3.90µs × (0.99,1.05) 3.93µs × (0.98,1.05) ~ (p=0.252)
BenchmarkRegexpMatchHard_1K 118µs × (0.99,1.01) 117µs × (0.99,1.02) -0.54% (p=0.003)
BenchmarkRegexpMatchHard_1K-2 118µs × (0.99,1.01) 118µs × (0.99,1.03) ~ (p=0.581)
BenchmarkRegexpMatchHard_1K-4 118µs × (0.99,1.02) 117µs × (0.99,1.01) -0.54% (p=0.002)
BenchmarkRevcomp 991ms × (0.95,1.10) 989ms × (0.94,1.08) ~ (p=0.879)
BenchmarkRevcomp-2 978ms × (0.95,1.11) 962ms × (0.96,1.08) ~ (p=0.257)
BenchmarkRevcomp-4 979ms × (0.96,1.07) 974ms × (0.96,1.11) ~ (p=0.678)
BenchmarkTemplate 141ms × (0.99,1.02) 145ms × (0.99,1.02) +2.75% (p=0.000)
BenchmarkTemplate-2 135ms × (0.98,1.02) 138ms × (0.99,1.02) +2.34% (p=0.000)
BenchmarkTemplate-4 136ms × (0.98,1.02) 140ms × (0.99,1.02) +2.71% (p=0.000)
BenchmarkTimeParse 640ns × (0.99,1.01) 622ns × (0.99,1.01) -2.88% (p=0.000)
BenchmarkTimeParse-2 640ns × (0.99,1.01) 622ns × (1.00,1.00) -2.81% (p=0.000)
BenchmarkTimeParse-4 640ns × (1.00,1.01) 622ns × (0.99,1.01) -2.82% (p=0.000)
BenchmarkTimeFormat 730ns × (0.98,1.02) 731ns × (0.98,1.03) ~ (p=0.767)
BenchmarkTimeFormat-2 709ns × (0.99,1.02) 707ns × (0.99,1.02) ~ (p=0.347)
BenchmarkTimeFormat-4 717ns × (0.98,1.01) 718ns × (0.98,1.02) ~ (p=0.793)
Change-Id: Ie779c47e912bf80eb918bafa13638bd8dfd6c2d9
Reviewed-on: https://go-review.googlesource.com/9406
Reviewed-by: Rick Hudson <rlh@golang.org>
2015-04-27 20:45:57 -06:00
|
|
|
|
var oneptrmask = [...]uint8{1}
|
2015-02-19 11:38:46 -07:00
|
|
|
|
|
runtime: perform concurrent scan in GC workers
Currently the concurrent root scan is performed in its entirety by the
GC coordinator before entering concurrent mark (which enables GC
workers). This scan is done sequentially, which can prolong the scan
phase, delay the mark phase, and means that the scan phase does not
obey the 25% CPU goal. Furthermore, there's no need to complete the
root scan before starting marking (in fact, we already allow GC
assists to happen during the scan phase), so this acts as an
unnecessary barrier between root scanning and marking.
This change shifts the root scan work out of the GC coordinator and in
to the GC workers. The coordinator simply sets up the scan state and
enqueues the right number of root scan jobs. The GC workers then drain
the root scan jobs prior to draining heap scan jobs.
This parallelizes the root scan process, makes it obey the 25% CPU
goal, and effectively eliminates root scanning as an isolated phase,
allowing the system to smoothly transition from root scanning to heap
marking. This also eliminates a major non-STW responsibility of the GC
coordinator, which will make it easier to switch to a decentralized
state machine. Finally, it puts us in a good position to perform root
scanning in assists as well, which will help satisfy assists at the
beginning of the GC cycle.
This is mostly straightforward. One tricky aspect is that we have to
deal with preemption deadlock: where two non-preemptible gorountines
are trying to preempt each other to perform a stack scan. Given the
context where this happens, the only instance of this is two
background workers trying to scan each other. We avoid this by simply
not scanning the stacks of background workers during the concurrent
phase; this is safe because we'll scan them during mark termination
(and their stacks are *very* small and should not contain any new
pointers).
This change also switches the root marking during mark termination to
use the same gcDrain-based code path as concurrent mark. This
shouldn't affect performance because STW root marking was already
parallel and tasks switched to heap marking immediately when no more
root marking tasks were available. However, it simplifies the code and
unifies these code paths.
This has negligible effect on the go1 benchmarks. It slightly slows
down the garbage benchmark, possibly by making GC run slightly more
frequently.
name old time/op new time/op delta
XBenchGarbage-12 5.10ms ± 1% 5.24ms ± 1% +2.87% (p=0.000 n=18+18)
name old time/op new time/op delta
BinaryTree17-12 3.25s ± 3% 3.20s ± 5% -1.57% (p=0.013 n=20+20)
Fannkuch11-12 2.45s ± 1% 2.46s ± 1% +0.38% (p=0.019 n=20+18)
FmtFprintfEmpty-12 49.7ns ± 3% 49.9ns ± 4% ~ (p=0.851 n=19+20)
FmtFprintfString-12 170ns ± 2% 170ns ± 1% ~ (p=0.775 n=20+19)
FmtFprintfInt-12 161ns ± 1% 160ns ± 1% -0.78% (p=0.000 n=19+18)
FmtFprintfIntInt-12 267ns ± 1% 270ns ± 1% +1.04% (p=0.000 n=19+19)
FmtFprintfPrefixedInt-12 238ns ± 2% 238ns ± 1% ~ (p=0.133 n=18+19)
FmtFprintfFloat-12 311ns ± 1% 310ns ± 2% -0.35% (p=0.023 n=20+19)
FmtManyArgs-12 1.08µs ± 1% 1.06µs ± 1% -2.31% (p=0.000 n=20+20)
GobDecode-12 8.65ms ± 1% 8.63ms ± 1% ~ (p=0.377 n=18+20)
GobEncode-12 6.49ms ± 1% 6.52ms ± 1% +0.37% (p=0.015 n=20+20)
Gzip-12 319ms ± 3% 318ms ± 1% ~ (p=0.975 n=19+17)
Gunzip-12 41.9ms ± 1% 42.1ms ± 2% +0.65% (p=0.004 n=19+20)
HTTPClientServer-12 61.7µs ± 1% 62.6µs ± 1% +1.40% (p=0.000 n=18+20)
JSONEncode-12 16.8ms ± 1% 16.9ms ± 1% ~ (p=0.239 n=20+18)
JSONDecode-12 58.4ms ± 1% 60.7ms ± 1% +3.85% (p=0.000 n=19+20)
Mandelbrot200-12 3.86ms ± 0% 3.86ms ± 1% ~ (p=0.092 n=18+19)
GoParse-12 3.75ms ± 2% 3.75ms ± 2% ~ (p=0.708 n=19+20)
RegexpMatchEasy0_32-12 100ns ± 1% 100ns ± 2% +0.60% (p=0.010 n=17+20)
RegexpMatchEasy0_1K-12 341ns ± 1% 342ns ± 2% ~ (p=0.203 n=20+19)
RegexpMatchEasy1_32-12 82.5ns ± 2% 83.2ns ± 2% +0.83% (p=0.007 n=19+19)
RegexpMatchEasy1_1K-12 495ns ± 1% 495ns ± 2% ~ (p=0.970 n=19+18)
RegexpMatchMedium_32-12 130ns ± 2% 130ns ± 2% +0.59% (p=0.039 n=19+20)
RegexpMatchMedium_1K-12 39.2µs ± 1% 39.3µs ± 1% ~ (p=0.214 n=18+18)
RegexpMatchHard_32-12 2.03µs ± 2% 2.02µs ± 1% ~ (p=0.166 n=18+19)
RegexpMatchHard_1K-12 61.0µs ± 1% 60.9µs ± 1% ~ (p=0.169 n=20+18)
Revcomp-12 533ms ± 1% 535ms ± 1% ~ (p=0.071 n=19+17)
Template-12 68.1ms ± 2% 73.0ms ± 1% +7.26% (p=0.000 n=19+20)
TimeParse-12 355ns ± 2% 356ns ± 2% ~ (p=0.530 n=19+20)
TimeFormat-12 357ns ± 2% 347ns ± 1% -2.59% (p=0.000 n=20+19)
[Geo mean] 62.1µs 62.3µs +0.31%
name old speed new speed delta
GobDecode-12 88.7MB/s ± 1% 88.9MB/s ± 1% ~ (p=0.377 n=18+20)
GobEncode-12 118MB/s ± 1% 118MB/s ± 1% -0.37% (p=0.015 n=20+20)
Gzip-12 60.9MB/s ± 3% 60.9MB/s ± 1% ~ (p=0.944 n=19+17)
Gunzip-12 464MB/s ± 1% 461MB/s ± 2% -0.64% (p=0.004 n=19+20)
JSONEncode-12 115MB/s ± 1% 115MB/s ± 1% ~ (p=0.236 n=20+18)
JSONDecode-12 33.2MB/s ± 1% 32.0MB/s ± 1% -3.71% (p=0.000 n=19+20)
GoParse-12 15.5MB/s ± 2% 15.5MB/s ± 2% ~ (p=0.702 n=19+20)
RegexpMatchEasy0_32-12 320MB/s ± 1% 318MB/s ± 2% ~ (p=0.094 n=18+20)
RegexpMatchEasy0_1K-12 3.00GB/s ± 1% 2.99GB/s ± 1% ~ (p=0.194 n=20+19)
RegexpMatchEasy1_32-12 388MB/s ± 2% 385MB/s ± 2% -0.83% (p=0.008 n=19+19)
RegexpMatchEasy1_1K-12 2.07GB/s ± 1% 2.07GB/s ± 1% ~ (p=0.964 n=19+18)
RegexpMatchMedium_32-12 7.68MB/s ± 1% 7.64MB/s ± 2% -0.57% (p=0.020 n=19+20)
RegexpMatchMedium_1K-12 26.1MB/s ± 1% 26.1MB/s ± 1% ~ (p=0.211 n=18+18)
RegexpMatchHard_32-12 15.8MB/s ± 1% 15.8MB/s ± 1% ~ (p=0.180 n=18+19)
RegexpMatchHard_1K-12 16.8MB/s ± 1% 16.8MB/s ± 2% ~ (p=0.236 n=20+19)
Revcomp-12 477MB/s ± 1% 475MB/s ± 1% ~ (p=0.071 n=19+17)
Template-12 28.5MB/s ± 2% 26.6MB/s ± 1% -6.77% (p=0.000 n=19+20)
[Geo mean] 100MB/s 99.0MB/s -0.82%
Change-Id: I875bf6ceb306d1ee2f470cabf88aa6ede27c47a0
Reviewed-on: https://go-review.googlesource.com/16059
Reviewed-by: Rick Hudson <rlh@golang.org>
Run-TryBot: Austin Clements <austin@google.com>
TryBot-Result: Gobot Gobot <gobot@golang.org>
2015-10-19 11:46:32 -06:00
|
|
|
|
// markroot scans the i'th root.
|
|
|
|
|
//
|
|
|
|
|
// Preemption must be disabled (because this uses a gcWork).
|
|
|
|
|
//
|
2016-03-04 09:58:26 -07:00
|
|
|
|
// nowritebarrier is only advisory here.
|
|
|
|
|
//
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2015-02-19 11:38:46 -07:00
|
|
|
|
//go:nowritebarrier
|
2015-11-23 16:44:03 -07:00
|
|
|
|
func markroot(gcw *gcWork, i uint32) {
|
2016-03-04 09:58:26 -07:00
|
|
|
|
// TODO(austin): This is a bit ridiculous. Compute and store
|
|
|
|
|
// the bases in gcMarkRootPrepare instead of the counts.
|
2016-10-25 11:56:37 -06:00
|
|
|
|
baseFlushCache := uint32(fixedRootCount)
|
|
|
|
|
baseData := baseFlushCache + uint32(work.nFlushCacheRoots)
|
2015-10-16 14:52:26 -06:00
|
|
|
|
baseBSS := baseData + uint32(work.nDataRoots)
|
|
|
|
|
baseSpans := baseBSS + uint32(work.nBSSRoots)
|
|
|
|
|
baseStacks := baseSpans + uint32(work.nSpanRoots)
|
2017-02-09 09:50:26 -07:00
|
|
|
|
end := baseStacks + uint32(work.nStackRoots)
|
2015-10-16 14:52:26 -06:00
|
|
|
|
|
2015-03-11 13:58:47 -06:00
|
|
|
|
// Note: if you add a case here, please also update heapdump.go:dumproots.
|
2015-10-16 14:52:26 -06:00
|
|
|
|
switch {
|
2016-10-25 11:56:37 -06:00
|
|
|
|
case baseFlushCache <= i && i < baseData:
|
|
|
|
|
flushmcache(int(i - baseFlushCache))
|
|
|
|
|
|
2015-10-16 14:52:26 -06:00
|
|
|
|
case baseData <= i && i < baseBSS:
|
2016-10-30 18:30:38 -06:00
|
|
|
|
for _, datap := range activeModules() {
|
2015-11-23 16:44:03 -07:00
|
|
|
|
markrootBlock(datap.data, datap.edata-datap.data, datap.gcdatamask.bytedata, gcw, int(i-baseData))
|
2015-03-29 15:59:00 -06:00
|
|
|
|
}
|
2015-02-19 11:38:46 -07:00
|
|
|
|
|
2015-10-16 14:52:26 -06:00
|
|
|
|
case baseBSS <= i && i < baseSpans:
|
2016-10-30 18:30:38 -06:00
|
|
|
|
for _, datap := range activeModules() {
|
2015-11-23 16:44:03 -07:00
|
|
|
|
markrootBlock(datap.bss, datap.ebss-datap.bss, datap.gcbssmask.bytedata, gcw, int(i-baseBSS))
|
2015-03-29 15:59:00 -06:00
|
|
|
|
}
|
2015-02-19 11:38:46 -07:00
|
|
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|
|
2015-10-16 14:52:26 -06:00
|
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|
|
case i == fixedRootFinalizers:
|
2017-01-31 09:46:36 -07:00
|
|
|
|
// Only do this once per GC cycle since we don't call
|
|
|
|
|
// queuefinalizer during marking.
|
|
|
|
|
if work.markrootDone {
|
|
|
|
|
break
|
|
|
|
|
}
|
2015-02-19 11:38:46 -07:00
|
|
|
|
for fb := allfin; fb != nil; fb = fb.alllink {
|
2016-10-14 11:39:07 -06:00
|
|
|
|
cnt := uintptr(atomic.Load(&fb.cnt))
|
|
|
|
|
scanblock(uintptr(unsafe.Pointer(&fb.fin[0])), cnt*unsafe.Sizeof(fb.fin[0]), &finptrmask[0], gcw)
|
2015-02-19 11:38:46 -07:00
|
|
|
|
}
|
|
|
|
|
|
2016-03-11 15:00:46 -07:00
|
|
|
|
case i == fixedRootFreeGStacks:
|
|
|
|
|
// Only do this once per GC cycle; preferably
|
|
|
|
|
// concurrently.
|
|
|
|
|
if !work.markrootDone {
|
2016-05-27 10:21:14 -06:00
|
|
|
|
// Switch to the system stack so we can call
|
|
|
|
|
// stackfree.
|
|
|
|
|
systemstack(markrootFreeGStacks)
|
2016-03-11 15:00:46 -07:00
|
|
|
|
}
|
|
|
|
|
|
2015-10-16 14:52:26 -06:00
|
|
|
|
case baseSpans <= i && i < baseStacks:
|
|
|
|
|
// mark MSpan.specials
|
2015-11-23 16:44:03 -07:00
|
|
|
|
markrootSpans(gcw, int(i-baseSpans))
|
2015-08-04 08:45:29 -06:00
|
|
|
|
|
2015-10-16 14:52:26 -06:00
|
|
|
|
default:
|
2015-02-19 11:38:46 -07:00
|
|
|
|
// the rest is scanning goroutine stacks
|
2016-03-04 09:58:26 -07:00
|
|
|
|
var gp *g
|
2017-02-09 09:50:26 -07:00
|
|
|
|
if baseStacks <= i && i < end {
|
2016-03-04 09:58:26 -07:00
|
|
|
|
gp = allgs[i-baseStacks]
|
|
|
|
|
} else {
|
2015-02-19 11:38:46 -07:00
|
|
|
|
throw("markroot: bad index")
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
// remember when we've first observed the G blocked
|
|
|
|
|
// needed only to output in traceback
|
|
|
|
|
status := readgstatus(gp) // We are not in a scan state
|
|
|
|
|
if (status == _Gwaiting || status == _Gsyscall) && gp.waitsince == 0 {
|
|
|
|
|
gp.waitsince = work.tstart
|
|
|
|
|
}
|
|
|
|
|
|
runtime: perform concurrent scan in GC workers
Currently the concurrent root scan is performed in its entirety by the
GC coordinator before entering concurrent mark (which enables GC
workers). This scan is done sequentially, which can prolong the scan
phase, delay the mark phase, and means that the scan phase does not
obey the 25% CPU goal. Furthermore, there's no need to complete the
root scan before starting marking (in fact, we already allow GC
assists to happen during the scan phase), so this acts as an
unnecessary barrier between root scanning and marking.
This change shifts the root scan work out of the GC coordinator and in
to the GC workers. The coordinator simply sets up the scan state and
enqueues the right number of root scan jobs. The GC workers then drain
the root scan jobs prior to draining heap scan jobs.
This parallelizes the root scan process, makes it obey the 25% CPU
goal, and effectively eliminates root scanning as an isolated phase,
allowing the system to smoothly transition from root scanning to heap
marking. This also eliminates a major non-STW responsibility of the GC
coordinator, which will make it easier to switch to a decentralized
state machine. Finally, it puts us in a good position to perform root
scanning in assists as well, which will help satisfy assists at the
beginning of the GC cycle.
This is mostly straightforward. One tricky aspect is that we have to
deal with preemption deadlock: where two non-preemptible gorountines
are trying to preempt each other to perform a stack scan. Given the
context where this happens, the only instance of this is two
background workers trying to scan each other. We avoid this by simply
not scanning the stacks of background workers during the concurrent
phase; this is safe because we'll scan them during mark termination
(and their stacks are *very* small and should not contain any new
pointers).
This change also switches the root marking during mark termination to
use the same gcDrain-based code path as concurrent mark. This
shouldn't affect performance because STW root marking was already
parallel and tasks switched to heap marking immediately when no more
root marking tasks were available. However, it simplifies the code and
unifies these code paths.
This has negligible effect on the go1 benchmarks. It slightly slows
down the garbage benchmark, possibly by making GC run slightly more
frequently.
name old time/op new time/op delta
XBenchGarbage-12 5.10ms ± 1% 5.24ms ± 1% +2.87% (p=0.000 n=18+18)
name old time/op new time/op delta
BinaryTree17-12 3.25s ± 3% 3.20s ± 5% -1.57% (p=0.013 n=20+20)
Fannkuch11-12 2.45s ± 1% 2.46s ± 1% +0.38% (p=0.019 n=20+18)
FmtFprintfEmpty-12 49.7ns ± 3% 49.9ns ± 4% ~ (p=0.851 n=19+20)
FmtFprintfString-12 170ns ± 2% 170ns ± 1% ~ (p=0.775 n=20+19)
FmtFprintfInt-12 161ns ± 1% 160ns ± 1% -0.78% (p=0.000 n=19+18)
FmtFprintfIntInt-12 267ns ± 1% 270ns ± 1% +1.04% (p=0.000 n=19+19)
FmtFprintfPrefixedInt-12 238ns ± 2% 238ns ± 1% ~ (p=0.133 n=18+19)
FmtFprintfFloat-12 311ns ± 1% 310ns ± 2% -0.35% (p=0.023 n=20+19)
FmtManyArgs-12 1.08µs ± 1% 1.06µs ± 1% -2.31% (p=0.000 n=20+20)
GobDecode-12 8.65ms ± 1% 8.63ms ± 1% ~ (p=0.377 n=18+20)
GobEncode-12 6.49ms ± 1% 6.52ms ± 1% +0.37% (p=0.015 n=20+20)
Gzip-12 319ms ± 3% 318ms ± 1% ~ (p=0.975 n=19+17)
Gunzip-12 41.9ms ± 1% 42.1ms ± 2% +0.65% (p=0.004 n=19+20)
HTTPClientServer-12 61.7µs ± 1% 62.6µs ± 1% +1.40% (p=0.000 n=18+20)
JSONEncode-12 16.8ms ± 1% 16.9ms ± 1% ~ (p=0.239 n=20+18)
JSONDecode-12 58.4ms ± 1% 60.7ms ± 1% +3.85% (p=0.000 n=19+20)
Mandelbrot200-12 3.86ms ± 0% 3.86ms ± 1% ~ (p=0.092 n=18+19)
GoParse-12 3.75ms ± 2% 3.75ms ± 2% ~ (p=0.708 n=19+20)
RegexpMatchEasy0_32-12 100ns ± 1% 100ns ± 2% +0.60% (p=0.010 n=17+20)
RegexpMatchEasy0_1K-12 341ns ± 1% 342ns ± 2% ~ (p=0.203 n=20+19)
RegexpMatchEasy1_32-12 82.5ns ± 2% 83.2ns ± 2% +0.83% (p=0.007 n=19+19)
RegexpMatchEasy1_1K-12 495ns ± 1% 495ns ± 2% ~ (p=0.970 n=19+18)
RegexpMatchMedium_32-12 130ns ± 2% 130ns ± 2% +0.59% (p=0.039 n=19+20)
RegexpMatchMedium_1K-12 39.2µs ± 1% 39.3µs ± 1% ~ (p=0.214 n=18+18)
RegexpMatchHard_32-12 2.03µs ± 2% 2.02µs ± 1% ~ (p=0.166 n=18+19)
RegexpMatchHard_1K-12 61.0µs ± 1% 60.9µs ± 1% ~ (p=0.169 n=20+18)
Revcomp-12 533ms ± 1% 535ms ± 1% ~ (p=0.071 n=19+17)
Template-12 68.1ms ± 2% 73.0ms ± 1% +7.26% (p=0.000 n=19+20)
TimeParse-12 355ns ± 2% 356ns ± 2% ~ (p=0.530 n=19+20)
TimeFormat-12 357ns ± 2% 347ns ± 1% -2.59% (p=0.000 n=20+19)
[Geo mean] 62.1µs 62.3µs +0.31%
name old speed new speed delta
GobDecode-12 88.7MB/s ± 1% 88.9MB/s ± 1% ~ (p=0.377 n=18+20)
GobEncode-12 118MB/s ± 1% 118MB/s ± 1% -0.37% (p=0.015 n=20+20)
Gzip-12 60.9MB/s ± 3% 60.9MB/s ± 1% ~ (p=0.944 n=19+17)
Gunzip-12 464MB/s ± 1% 461MB/s ± 2% -0.64% (p=0.004 n=19+20)
JSONEncode-12 115MB/s ± 1% 115MB/s ± 1% ~ (p=0.236 n=20+18)
JSONDecode-12 33.2MB/s ± 1% 32.0MB/s ± 1% -3.71% (p=0.000 n=19+20)
GoParse-12 15.5MB/s ± 2% 15.5MB/s ± 2% ~ (p=0.702 n=19+20)
RegexpMatchEasy0_32-12 320MB/s ± 1% 318MB/s ± 2% ~ (p=0.094 n=18+20)
RegexpMatchEasy0_1K-12 3.00GB/s ± 1% 2.99GB/s ± 1% ~ (p=0.194 n=20+19)
RegexpMatchEasy1_32-12 388MB/s ± 2% 385MB/s ± 2% -0.83% (p=0.008 n=19+19)
RegexpMatchEasy1_1K-12 2.07GB/s ± 1% 2.07GB/s ± 1% ~ (p=0.964 n=19+18)
RegexpMatchMedium_32-12 7.68MB/s ± 1% 7.64MB/s ± 2% -0.57% (p=0.020 n=19+20)
RegexpMatchMedium_1K-12 26.1MB/s ± 1% 26.1MB/s ± 1% ~ (p=0.211 n=18+18)
RegexpMatchHard_32-12 15.8MB/s ± 1% 15.8MB/s ± 1% ~ (p=0.180 n=18+19)
RegexpMatchHard_1K-12 16.8MB/s ± 1% 16.8MB/s ± 2% ~ (p=0.236 n=20+19)
Revcomp-12 477MB/s ± 1% 475MB/s ± 1% ~ (p=0.071 n=19+17)
Template-12 28.5MB/s ± 2% 26.6MB/s ± 1% -6.77% (p=0.000 n=19+20)
[Geo mean] 100MB/s 99.0MB/s -0.82%
Change-Id: I875bf6ceb306d1ee2f470cabf88aa6ede27c47a0
Reviewed-on: https://go-review.googlesource.com/16059
Reviewed-by: Rick Hudson <rlh@golang.org>
Run-TryBot: Austin Clements <austin@google.com>
TryBot-Result: Gobot Gobot <gobot@golang.org>
2015-10-19 11:46:32 -06:00
|
|
|
|
// scang must be done on the system stack in case
|
|
|
|
|
// we're trying to scan our own stack.
|
|
|
|
|
systemstack(func() {
|
|
|
|
|
// If this is a self-scan, put the user G in
|
|
|
|
|
// _Gwaiting to prevent self-deadlock. It may
|
runtime: scan mark worker stacks like normal
Currently, markroot delays scanning mark worker stacks until mark
termination by putting the mark worker G directly on the rescan list
when it encounters one during the mark phase. Without this, since mark
workers are non-preemptible, two mark workers that attempt to scan
each other's stacks can deadlock.
However, this is annoyingly asymmetric and causes some real problems.
First, markroot does not own the G at that point, so it's not
technically safe to add it to the rescan list. I haven't been able to
find a specific problem this could cause, but I suspect it's the root
cause of issue #17099. Second, this will interfere with the hybrid
barrier, since there is no stack rescanning during mark termination
with the hybrid barrier.
This commit switches to a different approach. We move the mark
worker's call to gcDrain to the system stack and set the mark worker's
status to _Gwaiting for the duration of the drain to indicate that
it's preemptible. This lets another mark worker scan its G stack while
the drain is running on the system stack. We don't return to the G
stack until we can switch back to _Grunning, which ensures we don't
race with a stack scan. This lets us eliminate the special case for
mark worker stack scans and scan them just like any other goroutine.
The only subtlety to this approach is that we have to disable stack
shrinking for mark workers; they could be referring to captured
variables from the G stack, so it's not safe to move their stacks.
Updates #17099 and #17503.
Change-Id: Ia5213949ec470af63e24dfce01df357c12adbbea
Reviewed-on: https://go-review.googlesource.com/31820
Run-TryBot: Austin Clements <austin@google.com>
TryBot-Result: Gobot Gobot <gobot@golang.org>
Reviewed-by: Rick Hudson <rlh@golang.org>
2016-10-24 12:20:07 -06:00
|
|
|
|
// already be in _Gwaiting if this is a mark
|
|
|
|
|
// worker or we're in mark termination.
|
runtime: perform concurrent scan in GC workers
Currently the concurrent root scan is performed in its entirety by the
GC coordinator before entering concurrent mark (which enables GC
workers). This scan is done sequentially, which can prolong the scan
phase, delay the mark phase, and means that the scan phase does not
obey the 25% CPU goal. Furthermore, there's no need to complete the
root scan before starting marking (in fact, we already allow GC
assists to happen during the scan phase), so this acts as an
unnecessary barrier between root scanning and marking.
This change shifts the root scan work out of the GC coordinator and in
to the GC workers. The coordinator simply sets up the scan state and
enqueues the right number of root scan jobs. The GC workers then drain
the root scan jobs prior to draining heap scan jobs.
This parallelizes the root scan process, makes it obey the 25% CPU
goal, and effectively eliminates root scanning as an isolated phase,
allowing the system to smoothly transition from root scanning to heap
marking. This also eliminates a major non-STW responsibility of the GC
coordinator, which will make it easier to switch to a decentralized
state machine. Finally, it puts us in a good position to perform root
scanning in assists as well, which will help satisfy assists at the
beginning of the GC cycle.
This is mostly straightforward. One tricky aspect is that we have to
deal with preemption deadlock: where two non-preemptible gorountines
are trying to preempt each other to perform a stack scan. Given the
context where this happens, the only instance of this is two
background workers trying to scan each other. We avoid this by simply
not scanning the stacks of background workers during the concurrent
phase; this is safe because we'll scan them during mark termination
(and their stacks are *very* small and should not contain any new
pointers).
This change also switches the root marking during mark termination to
use the same gcDrain-based code path as concurrent mark. This
shouldn't affect performance because STW root marking was already
parallel and tasks switched to heap marking immediately when no more
root marking tasks were available. However, it simplifies the code and
unifies these code paths.
This has negligible effect on the go1 benchmarks. It slightly slows
down the garbage benchmark, possibly by making GC run slightly more
frequently.
name old time/op new time/op delta
XBenchGarbage-12 5.10ms ± 1% 5.24ms ± 1% +2.87% (p=0.000 n=18+18)
name old time/op new time/op delta
BinaryTree17-12 3.25s ± 3% 3.20s ± 5% -1.57% (p=0.013 n=20+20)
Fannkuch11-12 2.45s ± 1% 2.46s ± 1% +0.38% (p=0.019 n=20+18)
FmtFprintfEmpty-12 49.7ns ± 3% 49.9ns ± 4% ~ (p=0.851 n=19+20)
FmtFprintfString-12 170ns ± 2% 170ns ± 1% ~ (p=0.775 n=20+19)
FmtFprintfInt-12 161ns ± 1% 160ns ± 1% -0.78% (p=0.000 n=19+18)
FmtFprintfIntInt-12 267ns ± 1% 270ns ± 1% +1.04% (p=0.000 n=19+19)
FmtFprintfPrefixedInt-12 238ns ± 2% 238ns ± 1% ~ (p=0.133 n=18+19)
FmtFprintfFloat-12 311ns ± 1% 310ns ± 2% -0.35% (p=0.023 n=20+19)
FmtManyArgs-12 1.08µs ± 1% 1.06µs ± 1% -2.31% (p=0.000 n=20+20)
GobDecode-12 8.65ms ± 1% 8.63ms ± 1% ~ (p=0.377 n=18+20)
GobEncode-12 6.49ms ± 1% 6.52ms ± 1% +0.37% (p=0.015 n=20+20)
Gzip-12 319ms ± 3% 318ms ± 1% ~ (p=0.975 n=19+17)
Gunzip-12 41.9ms ± 1% 42.1ms ± 2% +0.65% (p=0.004 n=19+20)
HTTPClientServer-12 61.7µs ± 1% 62.6µs ± 1% +1.40% (p=0.000 n=18+20)
JSONEncode-12 16.8ms ± 1% 16.9ms ± 1% ~ (p=0.239 n=20+18)
JSONDecode-12 58.4ms ± 1% 60.7ms ± 1% +3.85% (p=0.000 n=19+20)
Mandelbrot200-12 3.86ms ± 0% 3.86ms ± 1% ~ (p=0.092 n=18+19)
GoParse-12 3.75ms ± 2% 3.75ms ± 2% ~ (p=0.708 n=19+20)
RegexpMatchEasy0_32-12 100ns ± 1% 100ns ± 2% +0.60% (p=0.010 n=17+20)
RegexpMatchEasy0_1K-12 341ns ± 1% 342ns ± 2% ~ (p=0.203 n=20+19)
RegexpMatchEasy1_32-12 82.5ns ± 2% 83.2ns ± 2% +0.83% (p=0.007 n=19+19)
RegexpMatchEasy1_1K-12 495ns ± 1% 495ns ± 2% ~ (p=0.970 n=19+18)
RegexpMatchMedium_32-12 130ns ± 2% 130ns ± 2% +0.59% (p=0.039 n=19+20)
RegexpMatchMedium_1K-12 39.2µs ± 1% 39.3µs ± 1% ~ (p=0.214 n=18+18)
RegexpMatchHard_32-12 2.03µs ± 2% 2.02µs ± 1% ~ (p=0.166 n=18+19)
RegexpMatchHard_1K-12 61.0µs ± 1% 60.9µs ± 1% ~ (p=0.169 n=20+18)
Revcomp-12 533ms ± 1% 535ms ± 1% ~ (p=0.071 n=19+17)
Template-12 68.1ms ± 2% 73.0ms ± 1% +7.26% (p=0.000 n=19+20)
TimeParse-12 355ns ± 2% 356ns ± 2% ~ (p=0.530 n=19+20)
TimeFormat-12 357ns ± 2% 347ns ± 1% -2.59% (p=0.000 n=20+19)
[Geo mean] 62.1µs 62.3µs +0.31%
name old speed new speed delta
GobDecode-12 88.7MB/s ± 1% 88.9MB/s ± 1% ~ (p=0.377 n=18+20)
GobEncode-12 118MB/s ± 1% 118MB/s ± 1% -0.37% (p=0.015 n=20+20)
Gzip-12 60.9MB/s ± 3% 60.9MB/s ± 1% ~ (p=0.944 n=19+17)
Gunzip-12 464MB/s ± 1% 461MB/s ± 2% -0.64% (p=0.004 n=19+20)
JSONEncode-12 115MB/s ± 1% 115MB/s ± 1% ~ (p=0.236 n=20+18)
JSONDecode-12 33.2MB/s ± 1% 32.0MB/s ± 1% -3.71% (p=0.000 n=19+20)
GoParse-12 15.5MB/s ± 2% 15.5MB/s ± 2% ~ (p=0.702 n=19+20)
RegexpMatchEasy0_32-12 320MB/s ± 1% 318MB/s ± 2% ~ (p=0.094 n=18+20)
RegexpMatchEasy0_1K-12 3.00GB/s ± 1% 2.99GB/s ± 1% ~ (p=0.194 n=20+19)
RegexpMatchEasy1_32-12 388MB/s ± 2% 385MB/s ± 2% -0.83% (p=0.008 n=19+19)
RegexpMatchEasy1_1K-12 2.07GB/s ± 1% 2.07GB/s ± 1% ~ (p=0.964 n=19+18)
RegexpMatchMedium_32-12 7.68MB/s ± 1% 7.64MB/s ± 2% -0.57% (p=0.020 n=19+20)
RegexpMatchMedium_1K-12 26.1MB/s ± 1% 26.1MB/s ± 1% ~ (p=0.211 n=18+18)
RegexpMatchHard_32-12 15.8MB/s ± 1% 15.8MB/s ± 1% ~ (p=0.180 n=18+19)
RegexpMatchHard_1K-12 16.8MB/s ± 1% 16.8MB/s ± 2% ~ (p=0.236 n=20+19)
Revcomp-12 477MB/s ± 1% 475MB/s ± 1% ~ (p=0.071 n=19+17)
Template-12 28.5MB/s ± 2% 26.6MB/s ± 1% -6.77% (p=0.000 n=19+20)
[Geo mean] 100MB/s 99.0MB/s -0.82%
Change-Id: I875bf6ceb306d1ee2f470cabf88aa6ede27c47a0
Reviewed-on: https://go-review.googlesource.com/16059
Reviewed-by: Rick Hudson <rlh@golang.org>
Run-TryBot: Austin Clements <austin@google.com>
TryBot-Result: Gobot Gobot <gobot@golang.org>
2015-10-19 11:46:32 -06:00
|
|
|
|
userG := getg().m.curg
|
|
|
|
|
selfScan := gp == userG && readgstatus(userG) == _Grunning
|
|
|
|
|
if selfScan {
|
|
|
|
|
casgstatus(userG, _Grunning, _Gwaiting)
|
|
|
|
|
userG.waitreason = "garbage collection scan"
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
// TODO: scang blocks until gp's stack has
|
|
|
|
|
// been scanned, which may take a while for
|
|
|
|
|
// running goroutines. Consider doing this in
|
|
|
|
|
// two phases where the first is non-blocking:
|
|
|
|
|
// we scan the stacks we can and ask running
|
|
|
|
|
// goroutines to scan themselves; and the
|
|
|
|
|
// second blocks.
|
runtime: pass gcWork to scanstack
Currently scanstack obtains its own gcWork from the P for the duration
of the stack scan and then, if called during mark termination,
disposes the gcWork.
However, this means that the number of workbufs allocated will be at
least the number of stacks scanned during mark termination, which may
be very high (especially during a STW GC). This happens because, in
steady state, each scanstack will obtain a fresh workbuf (either from
the empty list or by allocating it), fill it with the scan results,
and then dispose it to the full list. Nothing is consuming from the
full list during this (and hence nothing is recycling them to the
empty list), so the length of the full list by the time mark
termination starts draining it is at least the number of stacks
scanned.
Fix this by pushing the gcWork acquisition up the stack to either the
gcDrain that calls markroot that calls scanstack (which batches across
many stack scans and is the path taken during STW GC) or to newstack
(which is still a single scanstack call, but this is roughly bounded
by the number of Ps).
This fix reduces the workbuf allocation for the test program from
issue #15319 from 213 MB (roughly 2KB * 1e5 goroutines) to 10 MB.
Fixes #15319.
Note that there's potentially a similar issue in write barriers during
mark 2. Fixing that will be more difficult since there's no broader
non-preemptible context, but it should also be less of a problem since
the full list is being drained during mark 2.
Some overall improvements in the go1 benchmarks, plus the usual noise.
No significant change in the garbage benchmark (time/op or GC memory).
name old time/op new time/op delta
BinaryTree17-12 2.54s ± 1% 2.51s ± 1% -1.09% (p=0.000 n=20+19)
Fannkuch11-12 2.12s ± 0% 2.17s ± 0% +2.18% (p=0.000 n=19+18)
FmtFprintfEmpty-12 45.1ns ± 1% 45.2ns ± 0% ~ (p=0.078 n=19+18)
FmtFprintfString-12 127ns ± 0% 128ns ± 0% +1.08% (p=0.000 n=19+16)
FmtFprintfInt-12 125ns ± 0% 122ns ± 1% -2.71% (p=0.000 n=14+18)
FmtFprintfIntInt-12 196ns ± 0% 190ns ± 1% -2.91% (p=0.000 n=12+20)
FmtFprintfPrefixedInt-12 196ns ± 0% 194ns ± 1% -0.94% (p=0.000 n=13+18)
FmtFprintfFloat-12 253ns ± 1% 251ns ± 1% -0.86% (p=0.000 n=19+20)
FmtManyArgs-12 807ns ± 1% 784ns ± 1% -2.85% (p=0.000 n=20+20)
GobDecode-12 7.13ms ± 1% 7.12ms ± 1% ~ (p=0.351 n=19+20)
GobEncode-12 5.89ms ± 0% 5.95ms ± 0% +0.94% (p=0.000 n=19+19)
Gzip-12 219ms ± 1% 221ms ± 1% +1.35% (p=0.000 n=18+20)
Gunzip-12 37.5ms ± 1% 37.4ms ± 0% ~ (p=0.057 n=20+19)
HTTPClientServer-12 81.4µs ± 4% 81.9µs ± 3% ~ (p=0.118 n=17+18)
JSONEncode-12 15.7ms ± 1% 15.8ms ± 1% +0.73% (p=0.000 n=17+18)
JSONDecode-12 57.9ms ± 1% 57.2ms ± 1% -1.34% (p=0.000 n=19+19)
Mandelbrot200-12 4.12ms ± 1% 4.10ms ± 0% -0.33% (p=0.000 n=19+17)
GoParse-12 3.22ms ± 2% 3.25ms ± 1% +0.72% (p=0.000 n=18+20)
RegexpMatchEasy0_32-12 70.6ns ± 1% 71.1ns ± 2% +0.63% (p=0.005 n=19+20)
RegexpMatchEasy0_1K-12 240ns ± 0% 239ns ± 1% -0.59% (p=0.000 n=19+20)
RegexpMatchEasy1_32-12 71.3ns ± 1% 71.3ns ± 1% ~ (p=0.844 n=17+17)
RegexpMatchEasy1_1K-12 384ns ± 2% 371ns ± 1% -3.45% (p=0.000 n=19+20)
RegexpMatchMedium_32-12 109ns ± 1% 108ns ± 2% -0.48% (p=0.029 n=19+19)
RegexpMatchMedium_1K-12 34.3µs ± 1% 34.5µs ± 2% ~ (p=0.160 n=18+20)
RegexpMatchHard_32-12 1.79µs ± 9% 1.72µs ± 2% -3.83% (p=0.000 n=19+19)
RegexpMatchHard_1K-12 53.3µs ± 4% 51.8µs ± 1% -2.82% (p=0.000 n=19+20)
Revcomp-12 386ms ± 0% 388ms ± 0% +0.72% (p=0.000 n=17+20)
Template-12 62.9ms ± 1% 62.5ms ± 1% -0.57% (p=0.010 n=18+19)
TimeParse-12 325ns ± 0% 331ns ± 0% +1.84% (p=0.000 n=18+19)
TimeFormat-12 338ns ± 0% 343ns ± 0% +1.34% (p=0.000 n=18+20)
[Geo mean] 52.7µs 52.5µs -0.42%
Change-Id: Ib2d34736c4ae2ec329605b0fbc44636038d8d018
Reviewed-on: https://go-review.googlesource.com/23391
Run-TryBot: Austin Clements <austin@google.com>
TryBot-Result: Gobot Gobot <gobot@golang.org>
Reviewed-by: Rick Hudson <rlh@golang.org>
2016-05-23 20:14:53 -06:00
|
|
|
|
scang(gp, gcw)
|
runtime: perform concurrent scan in GC workers
Currently the concurrent root scan is performed in its entirety by the
GC coordinator before entering concurrent mark (which enables GC
workers). This scan is done sequentially, which can prolong the scan
phase, delay the mark phase, and means that the scan phase does not
obey the 25% CPU goal. Furthermore, there's no need to complete the
root scan before starting marking (in fact, we already allow GC
assists to happen during the scan phase), so this acts as an
unnecessary barrier between root scanning and marking.
This change shifts the root scan work out of the GC coordinator and in
to the GC workers. The coordinator simply sets up the scan state and
enqueues the right number of root scan jobs. The GC workers then drain
the root scan jobs prior to draining heap scan jobs.
This parallelizes the root scan process, makes it obey the 25% CPU
goal, and effectively eliminates root scanning as an isolated phase,
allowing the system to smoothly transition from root scanning to heap
marking. This also eliminates a major non-STW responsibility of the GC
coordinator, which will make it easier to switch to a decentralized
state machine. Finally, it puts us in a good position to perform root
scanning in assists as well, which will help satisfy assists at the
beginning of the GC cycle.
This is mostly straightforward. One tricky aspect is that we have to
deal with preemption deadlock: where two non-preemptible gorountines
are trying to preempt each other to perform a stack scan. Given the
context where this happens, the only instance of this is two
background workers trying to scan each other. We avoid this by simply
not scanning the stacks of background workers during the concurrent
phase; this is safe because we'll scan them during mark termination
(and their stacks are *very* small and should not contain any new
pointers).
This change also switches the root marking during mark termination to
use the same gcDrain-based code path as concurrent mark. This
shouldn't affect performance because STW root marking was already
parallel and tasks switched to heap marking immediately when no more
root marking tasks were available. However, it simplifies the code and
unifies these code paths.
This has negligible effect on the go1 benchmarks. It slightly slows
down the garbage benchmark, possibly by making GC run slightly more
frequently.
name old time/op new time/op delta
XBenchGarbage-12 5.10ms ± 1% 5.24ms ± 1% +2.87% (p=0.000 n=18+18)
name old time/op new time/op delta
BinaryTree17-12 3.25s ± 3% 3.20s ± 5% -1.57% (p=0.013 n=20+20)
Fannkuch11-12 2.45s ± 1% 2.46s ± 1% +0.38% (p=0.019 n=20+18)
FmtFprintfEmpty-12 49.7ns ± 3% 49.9ns ± 4% ~ (p=0.851 n=19+20)
FmtFprintfString-12 170ns ± 2% 170ns ± 1% ~ (p=0.775 n=20+19)
FmtFprintfInt-12 161ns ± 1% 160ns ± 1% -0.78% (p=0.000 n=19+18)
FmtFprintfIntInt-12 267ns ± 1% 270ns ± 1% +1.04% (p=0.000 n=19+19)
FmtFprintfPrefixedInt-12 238ns ± 2% 238ns ± 1% ~ (p=0.133 n=18+19)
FmtFprintfFloat-12 311ns ± 1% 310ns ± 2% -0.35% (p=0.023 n=20+19)
FmtManyArgs-12 1.08µs ± 1% 1.06µs ± 1% -2.31% (p=0.000 n=20+20)
GobDecode-12 8.65ms ± 1% 8.63ms ± 1% ~ (p=0.377 n=18+20)
GobEncode-12 6.49ms ± 1% 6.52ms ± 1% +0.37% (p=0.015 n=20+20)
Gzip-12 319ms ± 3% 318ms ± 1% ~ (p=0.975 n=19+17)
Gunzip-12 41.9ms ± 1% 42.1ms ± 2% +0.65% (p=0.004 n=19+20)
HTTPClientServer-12 61.7µs ± 1% 62.6µs ± 1% +1.40% (p=0.000 n=18+20)
JSONEncode-12 16.8ms ± 1% 16.9ms ± 1% ~ (p=0.239 n=20+18)
JSONDecode-12 58.4ms ± 1% 60.7ms ± 1% +3.85% (p=0.000 n=19+20)
Mandelbrot200-12 3.86ms ± 0% 3.86ms ± 1% ~ (p=0.092 n=18+19)
GoParse-12 3.75ms ± 2% 3.75ms ± 2% ~ (p=0.708 n=19+20)
RegexpMatchEasy0_32-12 100ns ± 1% 100ns ± 2% +0.60% (p=0.010 n=17+20)
RegexpMatchEasy0_1K-12 341ns ± 1% 342ns ± 2% ~ (p=0.203 n=20+19)
RegexpMatchEasy1_32-12 82.5ns ± 2% 83.2ns ± 2% +0.83% (p=0.007 n=19+19)
RegexpMatchEasy1_1K-12 495ns ± 1% 495ns ± 2% ~ (p=0.970 n=19+18)
RegexpMatchMedium_32-12 130ns ± 2% 130ns ± 2% +0.59% (p=0.039 n=19+20)
RegexpMatchMedium_1K-12 39.2µs ± 1% 39.3µs ± 1% ~ (p=0.214 n=18+18)
RegexpMatchHard_32-12 2.03µs ± 2% 2.02µs ± 1% ~ (p=0.166 n=18+19)
RegexpMatchHard_1K-12 61.0µs ± 1% 60.9µs ± 1% ~ (p=0.169 n=20+18)
Revcomp-12 533ms ± 1% 535ms ± 1% ~ (p=0.071 n=19+17)
Template-12 68.1ms ± 2% 73.0ms ± 1% +7.26% (p=0.000 n=19+20)
TimeParse-12 355ns ± 2% 356ns ± 2% ~ (p=0.530 n=19+20)
TimeFormat-12 357ns ± 2% 347ns ± 1% -2.59% (p=0.000 n=20+19)
[Geo mean] 62.1µs 62.3µs +0.31%
name old speed new speed delta
GobDecode-12 88.7MB/s ± 1% 88.9MB/s ± 1% ~ (p=0.377 n=18+20)
GobEncode-12 118MB/s ± 1% 118MB/s ± 1% -0.37% (p=0.015 n=20+20)
Gzip-12 60.9MB/s ± 3% 60.9MB/s ± 1% ~ (p=0.944 n=19+17)
Gunzip-12 464MB/s ± 1% 461MB/s ± 2% -0.64% (p=0.004 n=19+20)
JSONEncode-12 115MB/s ± 1% 115MB/s ± 1% ~ (p=0.236 n=20+18)
JSONDecode-12 33.2MB/s ± 1% 32.0MB/s ± 1% -3.71% (p=0.000 n=19+20)
GoParse-12 15.5MB/s ± 2% 15.5MB/s ± 2% ~ (p=0.702 n=19+20)
RegexpMatchEasy0_32-12 320MB/s ± 1% 318MB/s ± 2% ~ (p=0.094 n=18+20)
RegexpMatchEasy0_1K-12 3.00GB/s ± 1% 2.99GB/s ± 1% ~ (p=0.194 n=20+19)
RegexpMatchEasy1_32-12 388MB/s ± 2% 385MB/s ± 2% -0.83% (p=0.008 n=19+19)
RegexpMatchEasy1_1K-12 2.07GB/s ± 1% 2.07GB/s ± 1% ~ (p=0.964 n=19+18)
RegexpMatchMedium_32-12 7.68MB/s ± 1% 7.64MB/s ± 2% -0.57% (p=0.020 n=19+20)
RegexpMatchMedium_1K-12 26.1MB/s ± 1% 26.1MB/s ± 1% ~ (p=0.211 n=18+18)
RegexpMatchHard_32-12 15.8MB/s ± 1% 15.8MB/s ± 1% ~ (p=0.180 n=18+19)
RegexpMatchHard_1K-12 16.8MB/s ± 1% 16.8MB/s ± 2% ~ (p=0.236 n=20+19)
Revcomp-12 477MB/s ± 1% 475MB/s ± 1% ~ (p=0.071 n=19+17)
Template-12 28.5MB/s ± 2% 26.6MB/s ± 1% -6.77% (p=0.000 n=19+20)
[Geo mean] 100MB/s 99.0MB/s -0.82%
Change-Id: I875bf6ceb306d1ee2f470cabf88aa6ede27c47a0
Reviewed-on: https://go-review.googlesource.com/16059
Reviewed-by: Rick Hudson <rlh@golang.org>
Run-TryBot: Austin Clements <austin@google.com>
TryBot-Result: Gobot Gobot <gobot@golang.org>
2015-10-19 11:46:32 -06:00
|
|
|
|
|
|
|
|
|
if selfScan {
|
|
|
|
|
casgstatus(userG, _Gwaiting, _Grunning)
|
|
|
|
|
}
|
|
|
|
|
})
|
2015-02-19 11:38:46 -07:00
|
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
|
2015-10-16 14:52:26 -06:00
|
|
|
|
// markrootBlock scans the shard'th shard of the block of memory [b0,
|
|
|
|
|
// b0+n0), with the given pointer mask.
|
|
|
|
|
//
|
|
|
|
|
//go:nowritebarrier
|
|
|
|
|
func markrootBlock(b0, n0 uintptr, ptrmask0 *uint8, gcw *gcWork, shard int) {
|
2015-11-11 10:39:30 -07:00
|
|
|
|
if rootBlockBytes%(8*sys.PtrSize) != 0 {
|
2015-10-16 14:52:26 -06:00
|
|
|
|
// This is necessary to pick byte offsets in ptrmask0.
|
|
|
|
|
throw("rootBlockBytes must be a multiple of 8*ptrSize")
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
b := b0 + uintptr(shard)*rootBlockBytes
|
|
|
|
|
if b >= b0+n0 {
|
|
|
|
|
return
|
|
|
|
|
}
|
2015-11-11 10:39:30 -07:00
|
|
|
|
ptrmask := (*uint8)(add(unsafe.Pointer(ptrmask0), uintptr(shard)*(rootBlockBytes/(8*sys.PtrSize))))
|
2015-10-16 14:52:26 -06:00
|
|
|
|
n := uintptr(rootBlockBytes)
|
|
|
|
|
if b+n > b0+n0 {
|
|
|
|
|
n = b0 + n0 - b
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
// Scan this shard.
|
|
|
|
|
scanblock(b, n, ptrmask, gcw)
|
|
|
|
|
}
|
|
|
|
|
|
2016-03-11 15:00:46 -07:00
|
|
|
|
// markrootFreeGStacks frees stacks of dead Gs.
|
|
|
|
|
//
|
|
|
|
|
// This does not free stacks of dead Gs cached on Ps, but having a few
|
|
|
|
|
// cached stacks around isn't a problem.
|
|
|
|
|
//
|
|
|
|
|
//TODO go:nowritebarrier
|
|
|
|
|
func markrootFreeGStacks() {
|
|
|
|
|
// Take list of dead Gs with stacks.
|
|
|
|
|
lock(&sched.gflock)
|
|
|
|
|
list := sched.gfreeStack
|
|
|
|
|
sched.gfreeStack = nil
|
|
|
|
|
unlock(&sched.gflock)
|
|
|
|
|
if list == nil {
|
|
|
|
|
return
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
// Free stacks.
|
|
|
|
|
tail := list
|
|
|
|
|
for gp := list; gp != nil; gp = gp.schedlink.ptr() {
|
|
|
|
|
shrinkstack(gp)
|
|
|
|
|
tail = gp
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
// Put Gs back on the free list.
|
|
|
|
|
lock(&sched.gflock)
|
|
|
|
|
tail.schedlink.set(sched.gfreeNoStack)
|
|
|
|
|
sched.gfreeNoStack = list
|
|
|
|
|
unlock(&sched.gflock)
|
|
|
|
|
}
|
|
|
|
|
|
2015-10-16 14:52:26 -06:00
|
|
|
|
// markrootSpans marks roots for one shard of work.spans.
|
2015-08-04 08:45:29 -06:00
|
|
|
|
//
|
|
|
|
|
//go:nowritebarrier
|
|
|
|
|
func markrootSpans(gcw *gcWork, shard int) {
|
runtime: scan objects with finalizers concurrently
This reduces pause time by ~25% relative to tip and by ~50% relative
to Go 1.5.1.
Currently one of the steps of STW mark termination is to loop (in
parallel) over all spans to find objects with finalizers in order to
mark all objects reachable from these objects and to treat the
finalizer special as a root. Unfortunately, even if there are no
finalizers at all, this loop takes roughly 1 ms/heap GB/core, so
multi-gigabyte heaps can quickly push our STW time past 10ms.
Fix this by moving this scan from mark termination to concurrent scan,
where it can run in parallel with mutators. The loop itself could also
be optimized, but this cost is small compared to concurrent marking.
Making this scan concurrent introduces two complications:
1) The scan currently walks the specials list of each span without
locking it, which is safe only with the world stopped. We fix this by
speculatively checking if a span has any specials (the vast majority
won't) and then locking the specials list only if there are specials
to check.
2) An object can have a finalizer set after concurrent scan, in which
case it won't have been marked appropriately by concurrent scan. If
the finalizer is a closure and is only reachable from the special, it
could be swept before it is run. Likewise, if the object is not marked
yet when the finalizer is set and then becomes unreachable before it
is marked, other objects reachable only from it may be swept before
the finalizer function is run. We fix this issue by making
addfinalizer ensure the same marking invariants as markroot does.
For multi-gigabyte heaps, this reduces max pause time by 20%–30%
relative to tip (depending on GOMAXPROCS) and by ~50% relative to Go
1.5.1 (where this loop was neither concurrent nor parallel). Here are
the results for the garbage benchmark:
---------------- max pause ----------------
Heap Procs Concurrent scan STW parallel scan 1.5.1
24GB 12 18ms 23ms 37ms
24GB 4 18ms 25ms 37ms
4GB 4 3.8ms 4.9ms 6.9ms
In all cases, 95%ile pause time is similar to the max pause time. This
also improves mean STW time by 10%–30%.
Fixes #11485.
Change-Id: I9359d8c3d120a51d23d924b52bf853a1299b1dfd
Reviewed-on: https://go-review.googlesource.com/14982
Reviewed-by: Rick Hudson <rlh@golang.org>
Run-TryBot: Austin Clements <austin@google.com>
TryBot-Result: Gobot Gobot <gobot@golang.org>
2015-09-24 12:39:27 -06:00
|
|
|
|
// Objects with finalizers have two GC-related invariants:
|
|
|
|
|
//
|
|
|
|
|
// 1) Everything reachable from the object must be marked.
|
|
|
|
|
// This ensures that when we pass the object to its finalizer,
|
|
|
|
|
// everything the finalizer can reach will be retained.
|
|
|
|
|
//
|
|
|
|
|
// 2) Finalizer specials (which are not in the garbage
|
|
|
|
|
// collected heap) are roots. In practice, this means the fn
|
|
|
|
|
// field must be scanned.
|
|
|
|
|
//
|
|
|
|
|
// TODO(austin): There are several ideas for making this more
|
|
|
|
|
// efficient in issue #11485.
|
|
|
|
|
|
2016-02-15 16:24:06 -07:00
|
|
|
|
if work.markrootDone {
|
2016-03-11 11:54:55 -07:00
|
|
|
|
throw("markrootSpans during second markroot")
|
runtime: scan objects with finalizers concurrently
This reduces pause time by ~25% relative to tip and by ~50% relative
to Go 1.5.1.
Currently one of the steps of STW mark termination is to loop (in
parallel) over all spans to find objects with finalizers in order to
mark all objects reachable from these objects and to treat the
finalizer special as a root. Unfortunately, even if there are no
finalizers at all, this loop takes roughly 1 ms/heap GB/core, so
multi-gigabyte heaps can quickly push our STW time past 10ms.
Fix this by moving this scan from mark termination to concurrent scan,
where it can run in parallel with mutators. The loop itself could also
be optimized, but this cost is small compared to concurrent marking.
Making this scan concurrent introduces two complications:
1) The scan currently walks the specials list of each span without
locking it, which is safe only with the world stopped. We fix this by
speculatively checking if a span has any specials (the vast majority
won't) and then locking the specials list only if there are specials
to check.
2) An object can have a finalizer set after concurrent scan, in which
case it won't have been marked appropriately by concurrent scan. If
the finalizer is a closure and is only reachable from the special, it
could be swept before it is run. Likewise, if the object is not marked
yet when the finalizer is set and then becomes unreachable before it
is marked, other objects reachable only from it may be swept before
the finalizer function is run. We fix this issue by making
addfinalizer ensure the same marking invariants as markroot does.
For multi-gigabyte heaps, this reduces max pause time by 20%–30%
relative to tip (depending on GOMAXPROCS) and by ~50% relative to Go
1.5.1 (where this loop was neither concurrent nor parallel). Here are
the results for the garbage benchmark:
---------------- max pause ----------------
Heap Procs Concurrent scan STW parallel scan 1.5.1
24GB 12 18ms 23ms 37ms
24GB 4 18ms 25ms 37ms
4GB 4 3.8ms 4.9ms 6.9ms
In all cases, 95%ile pause time is similar to the max pause time. This
also improves mean STW time by 10%–30%.
Fixes #11485.
Change-Id: I9359d8c3d120a51d23d924b52bf853a1299b1dfd
Reviewed-on: https://go-review.googlesource.com/14982
Reviewed-by: Rick Hudson <rlh@golang.org>
Run-TryBot: Austin Clements <austin@google.com>
TryBot-Result: Gobot Gobot <gobot@golang.org>
2015-09-24 12:39:27 -06:00
|
|
|
|
}
|
|
|
|
|
|
2015-08-04 08:45:29 -06:00
|
|
|
|
sg := mheap_.sweepgen
|
2016-10-05 16:32:21 -06:00
|
|
|
|
spans := mheap_.sweepSpans[mheap_.sweepgen/2%2].block(shard)
|
runtime: scan objects with finalizers concurrently
This reduces pause time by ~25% relative to tip and by ~50% relative
to Go 1.5.1.
Currently one of the steps of STW mark termination is to loop (in
parallel) over all spans to find objects with finalizers in order to
mark all objects reachable from these objects and to treat the
finalizer special as a root. Unfortunately, even if there are no
finalizers at all, this loop takes roughly 1 ms/heap GB/core, so
multi-gigabyte heaps can quickly push our STW time past 10ms.
Fix this by moving this scan from mark termination to concurrent scan,
where it can run in parallel with mutators. The loop itself could also
be optimized, but this cost is small compared to concurrent marking.
Making this scan concurrent introduces two complications:
1) The scan currently walks the specials list of each span without
locking it, which is safe only with the world stopped. We fix this by
speculatively checking if a span has any specials (the vast majority
won't) and then locking the specials list only if there are specials
to check.
2) An object can have a finalizer set after concurrent scan, in which
case it won't have been marked appropriately by concurrent scan. If
the finalizer is a closure and is only reachable from the special, it
could be swept before it is run. Likewise, if the object is not marked
yet when the finalizer is set and then becomes unreachable before it
is marked, other objects reachable only from it may be swept before
the finalizer function is run. We fix this issue by making
addfinalizer ensure the same marking invariants as markroot does.
For multi-gigabyte heaps, this reduces max pause time by 20%–30%
relative to tip (depending on GOMAXPROCS) and by ~50% relative to Go
1.5.1 (where this loop was neither concurrent nor parallel). Here are
the results for the garbage benchmark:
---------------- max pause ----------------
Heap Procs Concurrent scan STW parallel scan 1.5.1
24GB 12 18ms 23ms 37ms
24GB 4 18ms 25ms 37ms
4GB 4 3.8ms 4.9ms 6.9ms
In all cases, 95%ile pause time is similar to the max pause time. This
also improves mean STW time by 10%–30%.
Fixes #11485.
Change-Id: I9359d8c3d120a51d23d924b52bf853a1299b1dfd
Reviewed-on: https://go-review.googlesource.com/14982
Reviewed-by: Rick Hudson <rlh@golang.org>
Run-TryBot: Austin Clements <austin@google.com>
TryBot-Result: Gobot Gobot <gobot@golang.org>
2015-09-24 12:39:27 -06:00
|
|
|
|
// Note that work.spans may not include spans that were
|
|
|
|
|
// allocated between entering the scan phase and now. This is
|
|
|
|
|
// okay because any objects with finalizers in those spans
|
|
|
|
|
// must have been allocated and given finalizers after we
|
|
|
|
|
// entered the scan phase, so addfinalizer will have ensured
|
|
|
|
|
// the above invariants for them.
|
2016-10-05 16:32:21 -06:00
|
|
|
|
for _, s := range spans {
|
2015-08-04 08:45:29 -06:00
|
|
|
|
if s.state != mSpanInUse {
|
|
|
|
|
continue
|
|
|
|
|
}
|
|
|
|
|
if !useCheckmark && s.sweepgen != sg {
|
|
|
|
|
// sweepgen was updated (+2) during non-checkmark GC pass
|
|
|
|
|
print("sweep ", s.sweepgen, " ", sg, "\n")
|
|
|
|
|
throw("gc: unswept span")
|
|
|
|
|
}
|
runtime: scan objects with finalizers concurrently
This reduces pause time by ~25% relative to tip and by ~50% relative
to Go 1.5.1.
Currently one of the steps of STW mark termination is to loop (in
parallel) over all spans to find objects with finalizers in order to
mark all objects reachable from these objects and to treat the
finalizer special as a root. Unfortunately, even if there are no
finalizers at all, this loop takes roughly 1 ms/heap GB/core, so
multi-gigabyte heaps can quickly push our STW time past 10ms.
Fix this by moving this scan from mark termination to concurrent scan,
where it can run in parallel with mutators. The loop itself could also
be optimized, but this cost is small compared to concurrent marking.
Making this scan concurrent introduces two complications:
1) The scan currently walks the specials list of each span without
locking it, which is safe only with the world stopped. We fix this by
speculatively checking if a span has any specials (the vast majority
won't) and then locking the specials list only if there are specials
to check.
2) An object can have a finalizer set after concurrent scan, in which
case it won't have been marked appropriately by concurrent scan. If
the finalizer is a closure and is only reachable from the special, it
could be swept before it is run. Likewise, if the object is not marked
yet when the finalizer is set and then becomes unreachable before it
is marked, other objects reachable only from it may be swept before
the finalizer function is run. We fix this issue by making
addfinalizer ensure the same marking invariants as markroot does.
For multi-gigabyte heaps, this reduces max pause time by 20%–30%
relative to tip (depending on GOMAXPROCS) and by ~50% relative to Go
1.5.1 (where this loop was neither concurrent nor parallel). Here are
the results for the garbage benchmark:
---------------- max pause ----------------
Heap Procs Concurrent scan STW parallel scan 1.5.1
24GB 12 18ms 23ms 37ms
24GB 4 18ms 25ms 37ms
4GB 4 3.8ms 4.9ms 6.9ms
In all cases, 95%ile pause time is similar to the max pause time. This
also improves mean STW time by 10%–30%.
Fixes #11485.
Change-Id: I9359d8c3d120a51d23d924b52bf853a1299b1dfd
Reviewed-on: https://go-review.googlesource.com/14982
Reviewed-by: Rick Hudson <rlh@golang.org>
Run-TryBot: Austin Clements <austin@google.com>
TryBot-Result: Gobot Gobot <gobot@golang.org>
2015-09-24 12:39:27 -06:00
|
|
|
|
|
|
|
|
|
// Speculatively check if there are any specials
|
|
|
|
|
// without acquiring the span lock. This may race with
|
|
|
|
|
// adding the first special to a span, but in that
|
|
|
|
|
// case addfinalizer will observe that the GC is
|
|
|
|
|
// active (which is globally synchronized) and ensure
|
|
|
|
|
// the above invariants. We may also ensure the
|
|
|
|
|
// invariants, but it's okay to scan an object twice.
|
|
|
|
|
if s.specials == nil {
|
|
|
|
|
continue
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
// Lock the specials to prevent a special from being
|
|
|
|
|
// removed from the list while we're traversing it.
|
|
|
|
|
lock(&s.speciallock)
|
|
|
|
|
|
2015-08-04 08:45:29 -06:00
|
|
|
|
for sp := s.specials; sp != nil; sp = sp.next {
|
|
|
|
|
if sp.kind != _KindSpecialFinalizer {
|
|
|
|
|
continue
|
|
|
|
|
}
|
|
|
|
|
// don't mark finalized object, but scan it so we
|
|
|
|
|
// retain everything it points to.
|
|
|
|
|
spf := (*specialfinalizer)(unsafe.Pointer(sp))
|
|
|
|
|
// A finalizer can be set for an inner byte of an object, find object beginning.
|
2016-03-14 10:02:02 -06:00
|
|
|
|
p := s.base() + uintptr(spf.special.offset)/s.elemsize*s.elemsize
|
runtime: scan objects with finalizers concurrently
This reduces pause time by ~25% relative to tip and by ~50% relative
to Go 1.5.1.
Currently one of the steps of STW mark termination is to loop (in
parallel) over all spans to find objects with finalizers in order to
mark all objects reachable from these objects and to treat the
finalizer special as a root. Unfortunately, even if there are no
finalizers at all, this loop takes roughly 1 ms/heap GB/core, so
multi-gigabyte heaps can quickly push our STW time past 10ms.
Fix this by moving this scan from mark termination to concurrent scan,
where it can run in parallel with mutators. The loop itself could also
be optimized, but this cost is small compared to concurrent marking.
Making this scan concurrent introduces two complications:
1) The scan currently walks the specials list of each span without
locking it, which is safe only with the world stopped. We fix this by
speculatively checking if a span has any specials (the vast majority
won't) and then locking the specials list only if there are specials
to check.
2) An object can have a finalizer set after concurrent scan, in which
case it won't have been marked appropriately by concurrent scan. If
the finalizer is a closure and is only reachable from the special, it
could be swept before it is run. Likewise, if the object is not marked
yet when the finalizer is set and then becomes unreachable before it
is marked, other objects reachable only from it may be swept before
the finalizer function is run. We fix this issue by making
addfinalizer ensure the same marking invariants as markroot does.
For multi-gigabyte heaps, this reduces max pause time by 20%–30%
relative to tip (depending on GOMAXPROCS) and by ~50% relative to Go
1.5.1 (where this loop was neither concurrent nor parallel). Here are
the results for the garbage benchmark:
---------------- max pause ----------------
Heap Procs Concurrent scan STW parallel scan 1.5.1
24GB 12 18ms 23ms 37ms
24GB 4 18ms 25ms 37ms
4GB 4 3.8ms 4.9ms 6.9ms
In all cases, 95%ile pause time is similar to the max pause time. This
also improves mean STW time by 10%–30%.
Fixes #11485.
Change-Id: I9359d8c3d120a51d23d924b52bf853a1299b1dfd
Reviewed-on: https://go-review.googlesource.com/14982
Reviewed-by: Rick Hudson <rlh@golang.org>
Run-TryBot: Austin Clements <austin@google.com>
TryBot-Result: Gobot Gobot <gobot@golang.org>
2015-09-24 12:39:27 -06:00
|
|
|
|
|
|
|
|
|
// Mark everything that can be reached from
|
|
|
|
|
// the object (but *not* the object itself or
|
|
|
|
|
// we'll never collect it).
|
|
|
|
|
scanobject(p, gcw)
|
|
|
|
|
|
|
|
|
|
// The special itself is a root.
|
2015-11-11 10:39:30 -07:00
|
|
|
|
scanblock(uintptr(unsafe.Pointer(&spf.fn)), sys.PtrSize, &oneptrmask[0], gcw)
|
2015-08-04 08:45:29 -06:00
|
|
|
|
}
|
runtime: scan objects with finalizers concurrently
This reduces pause time by ~25% relative to tip and by ~50% relative
to Go 1.5.1.
Currently one of the steps of STW mark termination is to loop (in
parallel) over all spans to find objects with finalizers in order to
mark all objects reachable from these objects and to treat the
finalizer special as a root. Unfortunately, even if there are no
finalizers at all, this loop takes roughly 1 ms/heap GB/core, so
multi-gigabyte heaps can quickly push our STW time past 10ms.
Fix this by moving this scan from mark termination to concurrent scan,
where it can run in parallel with mutators. The loop itself could also
be optimized, but this cost is small compared to concurrent marking.
Making this scan concurrent introduces two complications:
1) The scan currently walks the specials list of each span without
locking it, which is safe only with the world stopped. We fix this by
speculatively checking if a span has any specials (the vast majority
won't) and then locking the specials list only if there are specials
to check.
2) An object can have a finalizer set after concurrent scan, in which
case it won't have been marked appropriately by concurrent scan. If
the finalizer is a closure and is only reachable from the special, it
could be swept before it is run. Likewise, if the object is not marked
yet when the finalizer is set and then becomes unreachable before it
is marked, other objects reachable only from it may be swept before
the finalizer function is run. We fix this issue by making
addfinalizer ensure the same marking invariants as markroot does.
For multi-gigabyte heaps, this reduces max pause time by 20%–30%
relative to tip (depending on GOMAXPROCS) and by ~50% relative to Go
1.5.1 (where this loop was neither concurrent nor parallel). Here are
the results for the garbage benchmark:
---------------- max pause ----------------
Heap Procs Concurrent scan STW parallel scan 1.5.1
24GB 12 18ms 23ms 37ms
24GB 4 18ms 25ms 37ms
4GB 4 3.8ms 4.9ms 6.9ms
In all cases, 95%ile pause time is similar to the max pause time. This
also improves mean STW time by 10%–30%.
Fixes #11485.
Change-Id: I9359d8c3d120a51d23d924b52bf853a1299b1dfd
Reviewed-on: https://go-review.googlesource.com/14982
Reviewed-by: Rick Hudson <rlh@golang.org>
Run-TryBot: Austin Clements <austin@google.com>
TryBot-Result: Gobot Gobot <gobot@golang.org>
2015-09-24 12:39:27 -06:00
|
|
|
|
|
|
|
|
|
unlock(&s.speciallock)
|
2015-08-04 08:45:29 -06:00
|
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
|
2015-10-04 21:56:11 -06:00
|
|
|
|
// gcAssistAlloc performs GC work to make gp's assist debt positive.
|
|
|
|
|
// gp must be the calling user gorountine.
|
2015-03-16 12:22:00 -06:00
|
|
|
|
//
|
2015-10-04 21:56:11 -06:00
|
|
|
|
// This must be called with preemption enabled.
|
|
|
|
|
func gcAssistAlloc(gp *g) {
|
2015-07-22 13:14:54 -06:00
|
|
|
|
// Don't assist in non-preemptible contexts. These are
|
|
|
|
|
// generally fragile and won't allow the assist to block.
|
|
|
|
|
if getg() == gp.m.g0 {
|
|
|
|
|
return
|
|
|
|
|
}
|
|
|
|
|
if mp := getg().m; mp.locks > 0 || mp.preemptoff != "" {
|
|
|
|
|
return
|
|
|
|
|
}
|
|
|
|
|
|
2017-01-31 12:09:14 -07:00
|
|
|
|
if trace.enabled {
|
|
|
|
|
traceGCMarkAssistStart()
|
|
|
|
|
}
|
|
|
|
|
|
2016-10-10 10:18:00 -06:00
|
|
|
|
retry:
|
runtime: directly track GC assist balance
Currently we track the per-G GC assist balance as two monotonically
increasing values: the bytes allocated by the G this cycle (gcalloc)
and the scan work performed by the G this cycle (gcscanwork). The
assist balance is hence assistRatio*gcalloc - gcscanwork.
This works, but has two important downsides:
1) It requires floating-point math to figure out if a G is in debt or
not. This makes it inappropriate to check for assist debt in the
hot path of mallocgc, so we only do this when a G allocates a new
span. As a result, Gs can operate "in the red", leading to
under-assist and extended GC cycle length.
2) Revising the assist ratio during a GC cycle can lead to an "assist
burst". If you think of plotting the scan work performed versus
heaps size, the assist ratio controls the slope of this line.
However, in the current system, the target line always passes
through 0 at the heap size that triggered GC, so if the runtime
increases the assist ratio, there has to be a potentially large
assist to jump from the current amount of scan work up to the new
target scan work for the current heap size.
This commit replaces this approach with directly tracking the GC
assist balance in terms of allocation credit bytes. Allocating N bytes
simply decreases this by N and assisting raises it by the amount of
scan work performed divided by the assist ratio (to get back to
bytes).
This will make it cheap to figure out if a G is in debt, which will
let us efficiently check if an assist is necessary *before* performing
an allocation and hence keep Gs "in the black".
This also fixes assist bursts because the assist ratio is now in terms
of *remaining* work, rather than work from the beginning of the GC
cycle. Hence, the plot of scan work versus heap size becomes
continuous: we can revise the slope, but this slope always starts from
where we are right now, rather than where we were at the beginning of
the cycle.
Change-Id: Ia821c5f07f8a433e8da7f195b52adfedd58bdf2c
Reviewed-on: https://go-review.googlesource.com/15408
Reviewed-by: Rick Hudson <rlh@golang.org>
2015-10-04 21:16:57 -06:00
|
|
|
|
// Compute the amount of scan work we need to do to make the
|
2016-07-22 17:36:30 -06:00
|
|
|
|
// balance positive. When the required amount of work is low,
|
|
|
|
|
// we over-assist to build up credit for future allocations
|
|
|
|
|
// and amortize the cost of assisting.
|
|
|
|
|
debtBytes := -gp.gcAssistBytes
|
runtime: directly track GC assist balance
Currently we track the per-G GC assist balance as two monotonically
increasing values: the bytes allocated by the G this cycle (gcalloc)
and the scan work performed by the G this cycle (gcscanwork). The
assist balance is hence assistRatio*gcalloc - gcscanwork.
This works, but has two important downsides:
1) It requires floating-point math to figure out if a G is in debt or
not. This makes it inappropriate to check for assist debt in the
hot path of mallocgc, so we only do this when a G allocates a new
span. As a result, Gs can operate "in the red", leading to
under-assist and extended GC cycle length.
2) Revising the assist ratio during a GC cycle can lead to an "assist
burst". If you think of plotting the scan work performed versus
heaps size, the assist ratio controls the slope of this line.
However, in the current system, the target line always passes
through 0 at the heap size that triggered GC, so if the runtime
increases the assist ratio, there has to be a potentially large
assist to jump from the current amount of scan work up to the new
target scan work for the current heap size.
This commit replaces this approach with directly tracking the GC
assist balance in terms of allocation credit bytes. Allocating N bytes
simply decreases this by N and assisting raises it by the amount of
scan work performed divided by the assist ratio (to get back to
bytes).
This will make it cheap to figure out if a G is in debt, which will
let us efficiently check if an assist is necessary *before* performing
an allocation and hence keep Gs "in the black".
This also fixes assist bursts because the assist ratio is now in terms
of *remaining* work, rather than work from the beginning of the GC
cycle. Hence, the plot of scan work versus heap size becomes
continuous: we can revise the slope, but this slope always starts from
where we are right now, rather than where we were at the beginning of
the cycle.
Change-Id: Ia821c5f07f8a433e8da7f195b52adfedd58bdf2c
Reviewed-on: https://go-review.googlesource.com/15408
Reviewed-by: Rick Hudson <rlh@golang.org>
2015-10-04 21:16:57 -06:00
|
|
|
|
scanWork := int64(gcController.assistWorkPerByte * float64(debtBytes))
|
2016-07-22 17:36:30 -06:00
|
|
|
|
if scanWork < gcOverAssistWork {
|
|
|
|
|
scanWork = gcOverAssistWork
|
|
|
|
|
debtBytes = int64(gcController.assistBytesPerWork * float64(scanWork))
|
|
|
|
|
}
|
2015-03-16 12:22:00 -06:00
|
|
|
|
|
|
|
|
|
// Steal as much credit as we can from the background GC's
|
|
|
|
|
// scan credit. This is racy and may drop the background
|
|
|
|
|
// credit below 0 if two mutators steal at the same time. This
|
|
|
|
|
// will just cause steals to fail until credit is accumulated
|
|
|
|
|
// again, so in the long run it doesn't really matter, but we
|
|
|
|
|
// do have to handle the negative credit case.
|
2015-11-02 12:09:24 -07:00
|
|
|
|
bgScanCredit := atomic.Loadint64(&gcController.bgScanCredit)
|
2015-03-16 12:22:00 -06:00
|
|
|
|
stolen := int64(0)
|
|
|
|
|
if bgScanCredit > 0 {
|
|
|
|
|
if bgScanCredit < scanWork {
|
|
|
|
|
stolen = bgScanCredit
|
runtime: directly track GC assist balance
Currently we track the per-G GC assist balance as two monotonically
increasing values: the bytes allocated by the G this cycle (gcalloc)
and the scan work performed by the G this cycle (gcscanwork). The
assist balance is hence assistRatio*gcalloc - gcscanwork.
This works, but has two important downsides:
1) It requires floating-point math to figure out if a G is in debt or
not. This makes it inappropriate to check for assist debt in the
hot path of mallocgc, so we only do this when a G allocates a new
span. As a result, Gs can operate "in the red", leading to
under-assist and extended GC cycle length.
2) Revising the assist ratio during a GC cycle can lead to an "assist
burst". If you think of plotting the scan work performed versus
heaps size, the assist ratio controls the slope of this line.
However, in the current system, the target line always passes
through 0 at the heap size that triggered GC, so if the runtime
increases the assist ratio, there has to be a potentially large
assist to jump from the current amount of scan work up to the new
target scan work for the current heap size.
This commit replaces this approach with directly tracking the GC
assist balance in terms of allocation credit bytes. Allocating N bytes
simply decreases this by N and assisting raises it by the amount of
scan work performed divided by the assist ratio (to get back to
bytes).
This will make it cheap to figure out if a G is in debt, which will
let us efficiently check if an assist is necessary *before* performing
an allocation and hence keep Gs "in the black".
This also fixes assist bursts because the assist ratio is now in terms
of *remaining* work, rather than work from the beginning of the GC
cycle. Hence, the plot of scan work versus heap size becomes
continuous: we can revise the slope, but this slope always starts from
where we are right now, rather than where we were at the beginning of
the cycle.
Change-Id: Ia821c5f07f8a433e8da7f195b52adfedd58bdf2c
Reviewed-on: https://go-review.googlesource.com/15408
Reviewed-by: Rick Hudson <rlh@golang.org>
2015-10-04 21:16:57 -06:00
|
|
|
|
gp.gcAssistBytes += 1 + int64(gcController.assistBytesPerWork*float64(stolen))
|
2015-03-16 12:22:00 -06:00
|
|
|
|
} else {
|
|
|
|
|
stolen = scanWork
|
runtime: directly track GC assist balance
Currently we track the per-G GC assist balance as two monotonically
increasing values: the bytes allocated by the G this cycle (gcalloc)
and the scan work performed by the G this cycle (gcscanwork). The
assist balance is hence assistRatio*gcalloc - gcscanwork.
This works, but has two important downsides:
1) It requires floating-point math to figure out if a G is in debt or
not. This makes it inappropriate to check for assist debt in the
hot path of mallocgc, so we only do this when a G allocates a new
span. As a result, Gs can operate "in the red", leading to
under-assist and extended GC cycle length.
2) Revising the assist ratio during a GC cycle can lead to an "assist
burst". If you think of plotting the scan work performed versus
heaps size, the assist ratio controls the slope of this line.
However, in the current system, the target line always passes
through 0 at the heap size that triggered GC, so if the runtime
increases the assist ratio, there has to be a potentially large
assist to jump from the current amount of scan work up to the new
target scan work for the current heap size.
This commit replaces this approach with directly tracking the GC
assist balance in terms of allocation credit bytes. Allocating N bytes
simply decreases this by N and assisting raises it by the amount of
scan work performed divided by the assist ratio (to get back to
bytes).
This will make it cheap to figure out if a G is in debt, which will
let us efficiently check if an assist is necessary *before* performing
an allocation and hence keep Gs "in the black".
This also fixes assist bursts because the assist ratio is now in terms
of *remaining* work, rather than work from the beginning of the GC
cycle. Hence, the plot of scan work versus heap size becomes
continuous: we can revise the slope, but this slope always starts from
where we are right now, rather than where we were at the beginning of
the cycle.
Change-Id: Ia821c5f07f8a433e8da7f195b52adfedd58bdf2c
Reviewed-on: https://go-review.googlesource.com/15408
Reviewed-by: Rick Hudson <rlh@golang.org>
2015-10-04 21:16:57 -06:00
|
|
|
|
gp.gcAssistBytes += debtBytes
|
2015-03-16 12:22:00 -06:00
|
|
|
|
}
|
2015-11-02 12:09:24 -07:00
|
|
|
|
atomic.Xaddint64(&gcController.bgScanCredit, -stolen)
|
2015-03-16 12:22:00 -06:00
|
|
|
|
|
|
|
|
|
scanWork -= stolen
|
|
|
|
|
|
|
|
|
|
if scanWork == 0 {
|
runtime: directly track GC assist balance
Currently we track the per-G GC assist balance as two monotonically
increasing values: the bytes allocated by the G this cycle (gcalloc)
and the scan work performed by the G this cycle (gcscanwork). The
assist balance is hence assistRatio*gcalloc - gcscanwork.
This works, but has two important downsides:
1) It requires floating-point math to figure out if a G is in debt or
not. This makes it inappropriate to check for assist debt in the
hot path of mallocgc, so we only do this when a G allocates a new
span. As a result, Gs can operate "in the red", leading to
under-assist and extended GC cycle length.
2) Revising the assist ratio during a GC cycle can lead to an "assist
burst". If you think of plotting the scan work performed versus
heaps size, the assist ratio controls the slope of this line.
However, in the current system, the target line always passes
through 0 at the heap size that triggered GC, so if the runtime
increases the assist ratio, there has to be a potentially large
assist to jump from the current amount of scan work up to the new
target scan work for the current heap size.
This commit replaces this approach with directly tracking the GC
assist balance in terms of allocation credit bytes. Allocating N bytes
simply decreases this by N and assisting raises it by the amount of
scan work performed divided by the assist ratio (to get back to
bytes).
This will make it cheap to figure out if a G is in debt, which will
let us efficiently check if an assist is necessary *before* performing
an allocation and hence keep Gs "in the black".
This also fixes assist bursts because the assist ratio is now in terms
of *remaining* work, rather than work from the beginning of the GC
cycle. Hence, the plot of scan work versus heap size becomes
continuous: we can revise the slope, but this slope always starts from
where we are right now, rather than where we were at the beginning of
the cycle.
Change-Id: Ia821c5f07f8a433e8da7f195b52adfedd58bdf2c
Reviewed-on: https://go-review.googlesource.com/15408
Reviewed-by: Rick Hudson <rlh@golang.org>
2015-10-04 21:16:57 -06:00
|
|
|
|
// We were able to steal all of the credit we
|
|
|
|
|
// needed.
|
2017-01-31 12:09:14 -07:00
|
|
|
|
if trace.enabled {
|
|
|
|
|
traceGCMarkAssistDone()
|
|
|
|
|
}
|
2015-03-16 12:22:00 -06:00
|
|
|
|
return
|
|
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
// Perform assist work
|
|
|
|
|
systemstack(func() {
|
2016-10-30 15:46:49 -06:00
|
|
|
|
gcAssistAlloc1(gp, scanWork)
|
|
|
|
|
// The user stack may have moved, so this can't touch
|
|
|
|
|
// anything on it until it returns from systemstack.
|
2015-03-16 12:22:00 -06:00
|
|
|
|
})
|
2015-07-23 15:55:01 -06:00
|
|
|
|
|
2016-10-30 15:46:49 -06:00
|
|
|
|
completed := gp.param != nil
|
|
|
|
|
gp.param = nil
|
2015-07-23 15:55:01 -06:00
|
|
|
|
if completed {
|
2015-10-26 09:27:37 -06:00
|
|
|
|
gcMarkDone()
|
runtime: retry GC assist until debt is paid off
Currently, there are three ways to satisfy a GC assist: 1) the mutator
steals credit from background GC, 2) the mutator actually does GC
work, and 3) there is no more work available. 3 was never really
intended as a way to satisfy an assist, and it causes problems: there
are periods when it's expected that the GC won't have any work, such
as when transitioning from mark 1 to mark 2 and from mark 2 to mark
termination. During these periods, there's no back-pressure on rapidly
allocating mutators, which lets them race ahead of the heap goal.
For example, test/init1.go and the runtime/trace test both have small
reachable heaps and contain loops that rapidly allocate large garbage
byte slices. This bug lets these tests exceed the heap goal by several
orders of magnitude.
Fix this by forcing the assist (and hence the allocation) to block
until it can satisfy its debt via either 1 or 2, or the GC cycle
terminates.
This fixes one the causes of #11677. It's still possible to overshoot
the GC heap goal, but with this change the overshoot is almost exactly
by the amount of allocation that happens during the concurrent scan
phase, between when the heap passes the GC trigger and when the GC
enables assists.
Change-Id: I5ef4edcb0d2e13a1e432e66e8245f2bd9f8995be
Reviewed-on: https://go-review.googlesource.com/12671
Reviewed-by: Russ Cox <rsc@golang.org>
2015-07-22 14:55:04 -06:00
|
|
|
|
}
|
|
|
|
|
|
2015-10-14 19:31:33 -06:00
|
|
|
|
if gp.gcAssistBytes < 0 {
|
runtime: retry GC assist until debt is paid off
Currently, there are three ways to satisfy a GC assist: 1) the mutator
steals credit from background GC, 2) the mutator actually does GC
work, and 3) there is no more work available. 3 was never really
intended as a way to satisfy an assist, and it causes problems: there
are periods when it's expected that the GC won't have any work, such
as when transitioning from mark 1 to mark 2 and from mark 2 to mark
termination. During these periods, there's no back-pressure on rapidly
allocating mutators, which lets them race ahead of the heap goal.
For example, test/init1.go and the runtime/trace test both have small
reachable heaps and contain loops that rapidly allocate large garbage
byte slices. This bug lets these tests exceed the heap goal by several
orders of magnitude.
Fix this by forcing the assist (and hence the allocation) to block
until it can satisfy its debt via either 1 or 2, or the GC cycle
terminates.
This fixes one the causes of #11677. It's still possible to overshoot
the GC heap goal, but with this change the overshoot is almost exactly
by the amount of allocation that happens during the concurrent scan
phase, between when the heap passes the GC trigger and when the GC
enables assists.
Change-Id: I5ef4edcb0d2e13a1e432e66e8245f2bd9f8995be
Reviewed-on: https://go-review.googlesource.com/12671
Reviewed-by: Russ Cox <rsc@golang.org>
2015-07-22 14:55:04 -06:00
|
|
|
|
// We were unable steal enough credit or perform
|
|
|
|
|
// enough work to pay off the assist debt. We need to
|
|
|
|
|
// do one of these before letting the mutator allocate
|
2015-10-14 19:31:33 -06:00
|
|
|
|
// more to prevent over-allocation.
|
|
|
|
|
//
|
2015-10-15 15:58:17 -06:00
|
|
|
|
// If this is because we were preempted, reschedule
|
|
|
|
|
// and try some more.
|
|
|
|
|
if gp.preempt {
|
|
|
|
|
Gosched()
|
|
|
|
|
goto retry
|
|
|
|
|
}
|
|
|
|
|
|
2015-10-14 19:31:33 -06:00
|
|
|
|
// Add this G to an assist queue and park. When the GC
|
|
|
|
|
// has more background credit, it will satisfy queued
|
|
|
|
|
// assists before flushing to the global credit pool.
|
|
|
|
|
//
|
|
|
|
|
// Note that this does *not* get woken up when more
|
|
|
|
|
// work is added to the work list. The theory is that
|
|
|
|
|
// there wasn't enough work to do anyway, so we might
|
|
|
|
|
// as well let background marking take care of the
|
|
|
|
|
// work that is available.
|
2016-10-06 13:12:12 -06:00
|
|
|
|
if !gcParkAssist() {
|
2015-10-14 19:31:33 -06:00
|
|
|
|
goto retry
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
// At this point either background GC has satisfied
|
|
|
|
|
// this G's assist debt, or the GC cycle is over.
|
|
|
|
|
}
|
2017-01-31 12:09:14 -07:00
|
|
|
|
if trace.enabled {
|
|
|
|
|
traceGCMarkAssistDone()
|
|
|
|
|
}
|
2015-10-14 19:31:33 -06:00
|
|
|
|
}
|
|
|
|
|
|
2016-10-30 15:46:49 -06:00
|
|
|
|
// gcAssistAlloc1 is the part of gcAssistAlloc that runs on the system
|
|
|
|
|
// stack. This is a separate function to make it easier to see that
|
|
|
|
|
// we're not capturing anything from the user stack, since the user
|
|
|
|
|
// stack may move while we're in this function.
|
|
|
|
|
//
|
|
|
|
|
// gcAssistAlloc1 indicates whether this assist completed the mark
|
|
|
|
|
// phase by setting gp.param to non-nil. This can't be communicated on
|
|
|
|
|
// the stack since it may move.
|
|
|
|
|
//
|
|
|
|
|
//go:systemstack
|
|
|
|
|
func gcAssistAlloc1(gp *g, scanWork int64) {
|
|
|
|
|
// Clear the flag indicating that this assist completed the
|
|
|
|
|
// mark phase.
|
|
|
|
|
gp.param = nil
|
|
|
|
|
|
|
|
|
|
if atomic.Load(&gcBlackenEnabled) == 0 {
|
|
|
|
|
// The gcBlackenEnabled check in malloc races with the
|
|
|
|
|
// store that clears it but an atomic check in every malloc
|
|
|
|
|
// would be a performance hit.
|
|
|
|
|
// Instead we recheck it here on the non-preemptable system
|
|
|
|
|
// stack to determine if we should preform an assist.
|
|
|
|
|
|
|
|
|
|
// GC is done, so ignore any remaining debt.
|
|
|
|
|
gp.gcAssistBytes = 0
|
|
|
|
|
return
|
|
|
|
|
}
|
|
|
|
|
// Track time spent in this assist. Since we're on the
|
|
|
|
|
// system stack, this is non-preemptible, so we can
|
|
|
|
|
// just measure start and end time.
|
|
|
|
|
startTime := nanotime()
|
|
|
|
|
|
|
|
|
|
decnwait := atomic.Xadd(&work.nwait, -1)
|
|
|
|
|
if decnwait == work.nproc {
|
|
|
|
|
println("runtime: work.nwait =", decnwait, "work.nproc=", work.nproc)
|
|
|
|
|
throw("nwait > work.nprocs")
|
|
|
|
|
}
|
|
|
|
|
|
runtime: make assists perform root jobs
Currently, assists can only perform heap marking jobs. However, at the
beginning of GC, there are only root jobs and no heap marking jobs. As
a result, there's often a period at the beginning of a GC cycle where
no goroutine has accumulated assist credit, but at the same time it
can't get any credit because there are no heap marking jobs for it to
do yet. As a result, many goroutines often block on the assist queue
at the very beginning of the GC cycle.
This commit fixes this by allowing assists to perform root marking
jobs. The tricky part of this (and the reason we haven't done this
before) is that stack scanning jobs can lead to deadlocks if the
goroutines performing the stack scanning are themselves
non-preemptible, since two non-preemptible goroutines may try to scan
each other. To address this, we use the same insight d6625ca used to
simplify the mark worker stack scanning: as long as we're careful with
the stacks and only drain jobs while on the system stack, we can put
the goroutine into a preemptible state while we drain jobs. This means
an assist's user stack can be scanned while it continues to do work.
This reduces the rate of assist blocking in the x/benchmarks HTTP
benchmark by a factor of 3 and all remaining blocking happens towards
the *end* of the GC cycle, when there may genuinely not be enough work
to go around.
Ideally, assists would get credit for working on root jobs. Currently
they do not; however, this change prioritizes heap work over root jobs
in assists, so they're likely to mostly perform heap work. In contrast
with mark workers, for assists, the root jobs act only as a backstop
to create heap work when there isn't enough heap work.
Fixes #15361.
Change-Id: If6e169863e4ad75710b0c8dc00f6125b41e9a595
Reviewed-on: https://go-review.googlesource.com/32432
Reviewed-by: Rick Hudson <rlh@golang.org>
2016-10-30 15:59:06 -06:00
|
|
|
|
// gcDrainN requires the caller to be preemptible.
|
|
|
|
|
casgstatus(gp, _Grunning, _Gwaiting)
|
|
|
|
|
gp.waitreason = "GC assist marking"
|
|
|
|
|
|
2016-10-30 15:46:49 -06:00
|
|
|
|
// drain own cached work first in the hopes that it
|
|
|
|
|
// will be more cache friendly.
|
|
|
|
|
gcw := &getg().m.p.ptr().gcw
|
|
|
|
|
workDone := gcDrainN(gcw, scanWork)
|
|
|
|
|
// If we are near the end of the mark phase
|
|
|
|
|
// dispose of the gcw.
|
|
|
|
|
if gcBlackenPromptly {
|
|
|
|
|
gcw.dispose()
|
|
|
|
|
}
|
|
|
|
|
|
runtime: make assists perform root jobs
Currently, assists can only perform heap marking jobs. However, at the
beginning of GC, there are only root jobs and no heap marking jobs. As
a result, there's often a period at the beginning of a GC cycle where
no goroutine has accumulated assist credit, but at the same time it
can't get any credit because there are no heap marking jobs for it to
do yet. As a result, many goroutines often block on the assist queue
at the very beginning of the GC cycle.
This commit fixes this by allowing assists to perform root marking
jobs. The tricky part of this (and the reason we haven't done this
before) is that stack scanning jobs can lead to deadlocks if the
goroutines performing the stack scanning are themselves
non-preemptible, since two non-preemptible goroutines may try to scan
each other. To address this, we use the same insight d6625ca used to
simplify the mark worker stack scanning: as long as we're careful with
the stacks and only drain jobs while on the system stack, we can put
the goroutine into a preemptible state while we drain jobs. This means
an assist's user stack can be scanned while it continues to do work.
This reduces the rate of assist blocking in the x/benchmarks HTTP
benchmark by a factor of 3 and all remaining blocking happens towards
the *end* of the GC cycle, when there may genuinely not be enough work
to go around.
Ideally, assists would get credit for working on root jobs. Currently
they do not; however, this change prioritizes heap work over root jobs
in assists, so they're likely to mostly perform heap work. In contrast
with mark workers, for assists, the root jobs act only as a backstop
to create heap work when there isn't enough heap work.
Fixes #15361.
Change-Id: If6e169863e4ad75710b0c8dc00f6125b41e9a595
Reviewed-on: https://go-review.googlesource.com/32432
Reviewed-by: Rick Hudson <rlh@golang.org>
2016-10-30 15:59:06 -06:00
|
|
|
|
casgstatus(gp, _Gwaiting, _Grunning)
|
|
|
|
|
|
2016-10-30 15:46:49 -06:00
|
|
|
|
// Record that we did this much scan work.
|
|
|
|
|
//
|
|
|
|
|
// Back out the number of bytes of assist credit that
|
|
|
|
|
// this scan work counts for. The "1+" is a poor man's
|
|
|
|
|
// round-up, to ensure this adds credit even if
|
|
|
|
|
// assistBytesPerWork is very low.
|
|
|
|
|
gp.gcAssistBytes += 1 + int64(gcController.assistBytesPerWork*float64(workDone))
|
|
|
|
|
|
|
|
|
|
// If this is the last worker and we ran out of work,
|
|
|
|
|
// signal a completion point.
|
|
|
|
|
incnwait := atomic.Xadd(&work.nwait, +1)
|
|
|
|
|
if incnwait > work.nproc {
|
|
|
|
|
println("runtime: work.nwait=", incnwait,
|
|
|
|
|
"work.nproc=", work.nproc,
|
|
|
|
|
"gcBlackenPromptly=", gcBlackenPromptly)
|
|
|
|
|
throw("work.nwait > work.nproc")
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
if incnwait == work.nproc && !gcMarkWorkAvailable(nil) {
|
|
|
|
|
// This has reached a background completion point. Set
|
|
|
|
|
// gp.param to a non-nil value to indicate this. It
|
|
|
|
|
// doesn't matter what we set it to (it just has to be
|
|
|
|
|
// a valid pointer).
|
|
|
|
|
gp.param = unsafe.Pointer(gp)
|
|
|
|
|
}
|
|
|
|
|
duration := nanotime() - startTime
|
|
|
|
|
_p_ := gp.m.p.ptr()
|
|
|
|
|
_p_.gcAssistTime += duration
|
|
|
|
|
if _p_.gcAssistTime > gcAssistTimeSlack {
|
|
|
|
|
atomic.Xaddint64(&gcController.assistTime, _p_.gcAssistTime)
|
|
|
|
|
_p_.gcAssistTime = 0
|
|
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
|
2015-10-14 19:31:33 -06:00
|
|
|
|
// gcWakeAllAssists wakes all currently blocked assists. This is used
|
2016-01-15 11:28:41 -07:00
|
|
|
|
// at the end of a GC cycle. gcBlackenEnabled must be false to prevent
|
|
|
|
|
// new assists from going to sleep after this point.
|
2015-10-14 19:31:33 -06:00
|
|
|
|
func gcWakeAllAssists() {
|
|
|
|
|
lock(&work.assistQueue.lock)
|
|
|
|
|
injectglist(work.assistQueue.head.ptr())
|
|
|
|
|
work.assistQueue.head.set(nil)
|
|
|
|
|
work.assistQueue.tail.set(nil)
|
|
|
|
|
unlock(&work.assistQueue.lock)
|
|
|
|
|
}
|
|
|
|
|
|
2016-10-06 13:12:12 -06:00
|
|
|
|
// gcParkAssist puts the current goroutine on the assist queue and parks.
|
|
|
|
|
//
|
|
|
|
|
// gcParkAssist returns whether the assist is now satisfied. If it
|
|
|
|
|
// returns false, the caller must retry the assist.
|
|
|
|
|
//
|
|
|
|
|
//go:nowritebarrier
|
|
|
|
|
func gcParkAssist() bool {
|
|
|
|
|
lock(&work.assistQueue.lock)
|
|
|
|
|
// If the GC cycle finished while we were getting the lock,
|
|
|
|
|
// exit the assist. The cycle can't finish while we hold the
|
|
|
|
|
// lock.
|
|
|
|
|
if atomic.Load(&gcBlackenEnabled) == 0 {
|
|
|
|
|
unlock(&work.assistQueue.lock)
|
|
|
|
|
return true
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
gp := getg()
|
|
|
|
|
oldHead, oldTail := work.assistQueue.head, work.assistQueue.tail
|
|
|
|
|
if oldHead == 0 {
|
|
|
|
|
work.assistQueue.head.set(gp)
|
|
|
|
|
} else {
|
|
|
|
|
oldTail.ptr().schedlink.set(gp)
|
|
|
|
|
}
|
|
|
|
|
work.assistQueue.tail.set(gp)
|
|
|
|
|
gp.schedlink.set(nil)
|
|
|
|
|
|
|
|
|
|
// Recheck for background credit now that this G is in
|
|
|
|
|
// the queue, but can still back out. This avoids a
|
|
|
|
|
// race in case background marking has flushed more
|
|
|
|
|
// credit since we checked above.
|
|
|
|
|
if atomic.Loadint64(&gcController.bgScanCredit) > 0 {
|
|
|
|
|
work.assistQueue.head = oldHead
|
|
|
|
|
work.assistQueue.tail = oldTail
|
|
|
|
|
if oldTail != 0 {
|
|
|
|
|
oldTail.ptr().schedlink.set(nil)
|
|
|
|
|
}
|
|
|
|
|
unlock(&work.assistQueue.lock)
|
|
|
|
|
return false
|
|
|
|
|
}
|
|
|
|
|
// Park.
|
runtime, cmd/trace: track goroutines blocked on GC assists
Currently when a goroutine blocks on a GC assist, it emits a generic
EvGoBlock event. Since assist blocking events and, in particular, the
length of the blocked assist queue, are important for diagnosing GC
behavior, this commit adds a new EvGoBlockGC event for blocking on a
GC assist. The trace viewer uses this event to report a "waiting on
GC" count in the "Goroutines" row. This makes sense because, unlike
other blocked goroutines, these goroutines do have work to do, so
being blocked on a GC assist is quite similar to being in the
"runnable" state, which we also report in the trace viewer.
Change-Id: Ic21a326992606b121ea3d3d00110d8d1fdc7a5ef
Reviewed-on: https://go-review.googlesource.com/30704
Run-TryBot: Austin Clements <austin@google.com>
TryBot-Result: Gobot Gobot <gobot@golang.org>
Reviewed-by: Dmitry Vyukov <dvyukov@google.com>
2016-10-08 16:38:35 -06:00
|
|
|
|
goparkunlock(&work.assistQueue.lock, "GC assist wait", traceEvGoBlockGC, 2)
|
2016-10-06 13:12:12 -06:00
|
|
|
|
return true
|
|
|
|
|
}
|
|
|
|
|
|
2015-10-14 19:31:33 -06:00
|
|
|
|
// gcFlushBgCredit flushes scanWork units of background scan work
|
|
|
|
|
// credit. This first satisfies blocked assists on the
|
|
|
|
|
// work.assistQueue and then flushes any remaining credit to
|
|
|
|
|
// gcController.bgScanCredit.
|
2015-11-19 09:25:55 -07:00
|
|
|
|
//
|
|
|
|
|
// Write barriers are disallowed because this is used by gcDrain after
|
|
|
|
|
// it has ensured that all work is drained and this must preserve that
|
|
|
|
|
// condition.
|
|
|
|
|
//
|
|
|
|
|
//go:nowritebarrierrec
|
2015-10-14 19:31:33 -06:00
|
|
|
|
func gcFlushBgCredit(scanWork int64) {
|
|
|
|
|
if work.assistQueue.head == 0 {
|
|
|
|
|
// Fast path; there are no blocked assists. There's a
|
|
|
|
|
// small window here where an assist may add itself to
|
|
|
|
|
// the blocked queue and park. If that happens, we'll
|
|
|
|
|
// just get it on the next flush.
|
2015-11-02 12:09:24 -07:00
|
|
|
|
atomic.Xaddint64(&gcController.bgScanCredit, scanWork)
|
2015-10-14 19:31:33 -06:00
|
|
|
|
return
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
scanBytes := int64(float64(scanWork) * gcController.assistBytesPerWork)
|
|
|
|
|
|
|
|
|
|
lock(&work.assistQueue.lock)
|
|
|
|
|
gp := work.assistQueue.head.ptr()
|
|
|
|
|
for gp != nil && scanBytes > 0 {
|
|
|
|
|
// Note that gp.gcAssistBytes is negative because gp
|
|
|
|
|
// is in debt. Think carefully about the signs below.
|
|
|
|
|
if scanBytes+gp.gcAssistBytes >= 0 {
|
|
|
|
|
// Satisfy this entire assist debt.
|
|
|
|
|
scanBytes += gp.gcAssistBytes
|
|
|
|
|
gp.gcAssistBytes = 0
|
|
|
|
|
xgp := gp
|
|
|
|
|
gp = gp.schedlink.ptr()
|
runtime: fix goroutine priority elevation
Currently it's possible for user code to exploit the high scheduler
priority of the GC worker in conjunction with the runnext optimization
to elevate a user goroutine to high priority so it will always run
even if there are other runnable goroutines.
For example, if a goroutine is in a tight allocation loop, the
following can happen:
1. Goroutine 1 allocates, triggering a GC.
2. G 1 attempts an assist, but fails and blocks.
3. The scheduler runs the GC worker, since it is high priority.
Note that this also starts a new scheduler quantum.
4. The GC worker does enough work to satisfy the assist.
5. The GC worker readies G 1, putting it in runnext.
6. GC finishes and the scheduler runs G 1 from runnext, giving it
the rest of the GC worker's quantum.
7. Go to 1.
Even if there are other goroutines on the run queue, they never get a
chance to run in the above sequence. This requires a confluence of
circumstances that make it unlikely, though not impossible, that it
would happen in "real" code. In the test added by this commit, we
force this confluence by setting GOMAXPROCS to 1 and GOGC to 1 so it's
easy for the test to repeated trigger GC and wake from a blocked
assist.
We fix this by making GC always put user goroutines at the end of the
run queue, instead of in runnext. This makes it so user code can't
piggy-back on the GC's high priority to make a user goroutine act like
it has high priority. The only other situation where GC wakes user
goroutines is waking all blocked assists at the end, but this uses the
global run queue and hence doesn't have this problem.
Fixes #15706.
Change-Id: I1589dee4b7b7d0c9c8575ed3472226084dfce8bc
Reviewed-on: https://go-review.googlesource.com/23172
Reviewed-by: Rick Hudson <rlh@golang.org>
2016-05-17 16:46:03 -06:00
|
|
|
|
// It's important that we *not* put xgp in
|
|
|
|
|
// runnext. Otherwise, it's possible for user
|
|
|
|
|
// code to exploit the GC worker's high
|
|
|
|
|
// scheduler priority to get itself always run
|
|
|
|
|
// before other goroutines and always in the
|
|
|
|
|
// fresh quantum started by GC.
|
|
|
|
|
ready(xgp, 0, false)
|
2015-10-14 19:31:33 -06:00
|
|
|
|
} else {
|
|
|
|
|
// Partially satisfy this assist.
|
|
|
|
|
gp.gcAssistBytes += scanBytes
|
|
|
|
|
scanBytes = 0
|
|
|
|
|
// As a heuristic, we move this assist to the
|
|
|
|
|
// back of the queue so that large assists
|
|
|
|
|
// can't clog up the assist queue and
|
|
|
|
|
// substantially delay small assists.
|
|
|
|
|
xgp := gp
|
|
|
|
|
gp = gp.schedlink.ptr()
|
|
|
|
|
if gp == nil {
|
|
|
|
|
// gp is the only assist in the queue.
|
|
|
|
|
gp = xgp
|
|
|
|
|
} else {
|
|
|
|
|
xgp.schedlink = 0
|
|
|
|
|
work.assistQueue.tail.ptr().schedlink.set(xgp)
|
|
|
|
|
work.assistQueue.tail.set(xgp)
|
|
|
|
|
}
|
|
|
|
|
break
|
|
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
work.assistQueue.head.set(gp)
|
|
|
|
|
if gp == nil {
|
|
|
|
|
work.assistQueue.tail.set(nil)
|
|
|
|
|
}
|
2015-10-04 21:56:11 -06:00
|
|
|
|
|
2015-10-14 19:31:33 -06:00
|
|
|
|
if scanBytes > 0 {
|
|
|
|
|
// Convert from scan bytes back to work.
|
|
|
|
|
scanWork = int64(float64(scanBytes) * gcController.assistWorkPerByte)
|
2015-11-02 12:09:24 -07:00
|
|
|
|
atomic.Xaddint64(&gcController.bgScanCredit, scanWork)
|
2015-07-23 15:55:01 -06:00
|
|
|
|
}
|
2015-10-14 19:31:33 -06:00
|
|
|
|
unlock(&work.assistQueue.lock)
|
2015-02-19 11:38:46 -07:00
|
|
|
|
}
|
|
|
|
|
|
2016-05-23 20:05:51 -06:00
|
|
|
|
// scanstack scans gp's stack, greying all pointers found on the stack.
|
|
|
|
|
//
|
|
|
|
|
// scanstack is marked go:systemstack because it must not be preempted
|
|
|
|
|
// while using a workbuf.
|
|
|
|
|
//
|
2015-02-19 11:38:46 -07:00
|
|
|
|
//go:nowritebarrier
|
2016-05-23 20:05:51 -06:00
|
|
|
|
//go:systemstack
|
runtime: pass gcWork to scanstack
Currently scanstack obtains its own gcWork from the P for the duration
of the stack scan and then, if called during mark termination,
disposes the gcWork.
However, this means that the number of workbufs allocated will be at
least the number of stacks scanned during mark termination, which may
be very high (especially during a STW GC). This happens because, in
steady state, each scanstack will obtain a fresh workbuf (either from
the empty list or by allocating it), fill it with the scan results,
and then dispose it to the full list. Nothing is consuming from the
full list during this (and hence nothing is recycling them to the
empty list), so the length of the full list by the time mark
termination starts draining it is at least the number of stacks
scanned.
Fix this by pushing the gcWork acquisition up the stack to either the
gcDrain that calls markroot that calls scanstack (which batches across
many stack scans and is the path taken during STW GC) or to newstack
(which is still a single scanstack call, but this is roughly bounded
by the number of Ps).
This fix reduces the workbuf allocation for the test program from
issue #15319 from 213 MB (roughly 2KB * 1e5 goroutines) to 10 MB.
Fixes #15319.
Note that there's potentially a similar issue in write barriers during
mark 2. Fixing that will be more difficult since there's no broader
non-preemptible context, but it should also be less of a problem since
the full list is being drained during mark 2.
Some overall improvements in the go1 benchmarks, plus the usual noise.
No significant change in the garbage benchmark (time/op or GC memory).
name old time/op new time/op delta
BinaryTree17-12 2.54s ± 1% 2.51s ± 1% -1.09% (p=0.000 n=20+19)
Fannkuch11-12 2.12s ± 0% 2.17s ± 0% +2.18% (p=0.000 n=19+18)
FmtFprintfEmpty-12 45.1ns ± 1% 45.2ns ± 0% ~ (p=0.078 n=19+18)
FmtFprintfString-12 127ns ± 0% 128ns ± 0% +1.08% (p=0.000 n=19+16)
FmtFprintfInt-12 125ns ± 0% 122ns ± 1% -2.71% (p=0.000 n=14+18)
FmtFprintfIntInt-12 196ns ± 0% 190ns ± 1% -2.91% (p=0.000 n=12+20)
FmtFprintfPrefixedInt-12 196ns ± 0% 194ns ± 1% -0.94% (p=0.000 n=13+18)
FmtFprintfFloat-12 253ns ± 1% 251ns ± 1% -0.86% (p=0.000 n=19+20)
FmtManyArgs-12 807ns ± 1% 784ns ± 1% -2.85% (p=0.000 n=20+20)
GobDecode-12 7.13ms ± 1% 7.12ms ± 1% ~ (p=0.351 n=19+20)
GobEncode-12 5.89ms ± 0% 5.95ms ± 0% +0.94% (p=0.000 n=19+19)
Gzip-12 219ms ± 1% 221ms ± 1% +1.35% (p=0.000 n=18+20)
Gunzip-12 37.5ms ± 1% 37.4ms ± 0% ~ (p=0.057 n=20+19)
HTTPClientServer-12 81.4µs ± 4% 81.9µs ± 3% ~ (p=0.118 n=17+18)
JSONEncode-12 15.7ms ± 1% 15.8ms ± 1% +0.73% (p=0.000 n=17+18)
JSONDecode-12 57.9ms ± 1% 57.2ms ± 1% -1.34% (p=0.000 n=19+19)
Mandelbrot200-12 4.12ms ± 1% 4.10ms ± 0% -0.33% (p=0.000 n=19+17)
GoParse-12 3.22ms ± 2% 3.25ms ± 1% +0.72% (p=0.000 n=18+20)
RegexpMatchEasy0_32-12 70.6ns ± 1% 71.1ns ± 2% +0.63% (p=0.005 n=19+20)
RegexpMatchEasy0_1K-12 240ns ± 0% 239ns ± 1% -0.59% (p=0.000 n=19+20)
RegexpMatchEasy1_32-12 71.3ns ± 1% 71.3ns ± 1% ~ (p=0.844 n=17+17)
RegexpMatchEasy1_1K-12 384ns ± 2% 371ns ± 1% -3.45% (p=0.000 n=19+20)
RegexpMatchMedium_32-12 109ns ± 1% 108ns ± 2% -0.48% (p=0.029 n=19+19)
RegexpMatchMedium_1K-12 34.3µs ± 1% 34.5µs ± 2% ~ (p=0.160 n=18+20)
RegexpMatchHard_32-12 1.79µs ± 9% 1.72µs ± 2% -3.83% (p=0.000 n=19+19)
RegexpMatchHard_1K-12 53.3µs ± 4% 51.8µs ± 1% -2.82% (p=0.000 n=19+20)
Revcomp-12 386ms ± 0% 388ms ± 0% +0.72% (p=0.000 n=17+20)
Template-12 62.9ms ± 1% 62.5ms ± 1% -0.57% (p=0.010 n=18+19)
TimeParse-12 325ns ± 0% 331ns ± 0% +1.84% (p=0.000 n=18+19)
TimeFormat-12 338ns ± 0% 343ns ± 0% +1.34% (p=0.000 n=18+20)
[Geo mean] 52.7µs 52.5µs -0.42%
Change-Id: Ib2d34736c4ae2ec329605b0fbc44636038d8d018
Reviewed-on: https://go-review.googlesource.com/23391
Run-TryBot: Austin Clements <austin@google.com>
TryBot-Result: Gobot Gobot <gobot@golang.org>
Reviewed-by: Rick Hudson <rlh@golang.org>
2016-05-23 20:14:53 -06:00
|
|
|
|
func scanstack(gp *g, gcw *gcWork) {
|
2015-02-19 11:38:46 -07:00
|
|
|
|
if gp.gcscanvalid {
|
|
|
|
|
return
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
if readgstatus(gp)&_Gscan == 0 {
|
|
|
|
|
print("runtime:scanstack: gp=", gp, ", goid=", gp.goid, ", gp->atomicstatus=", hex(readgstatus(gp)), "\n")
|
|
|
|
|
throw("scanstack - bad status")
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
switch readgstatus(gp) &^ _Gscan {
|
|
|
|
|
default:
|
|
|
|
|
print("runtime: gp=", gp, ", goid=", gp.goid, ", gp->atomicstatus=", readgstatus(gp), "\n")
|
|
|
|
|
throw("mark - bad status")
|
|
|
|
|
case _Gdead:
|
|
|
|
|
return
|
|
|
|
|
case _Grunning:
|
|
|
|
|
print("runtime: gp=", gp, ", goid=", gp.goid, ", gp->atomicstatus=", readgstatus(gp), "\n")
|
|
|
|
|
throw("scanstack: goroutine not stopped")
|
|
|
|
|
case _Grunnable, _Gsyscall, _Gwaiting:
|
|
|
|
|
// ok
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
if gp == getg() {
|
|
|
|
|
throw("can't scan our own stack")
|
|
|
|
|
}
|
|
|
|
|
mp := gp.m
|
|
|
|
|
if mp != nil && mp.helpgc != 0 {
|
|
|
|
|
throw("can't scan gchelper stack")
|
|
|
|
|
}
|
|
|
|
|
|
2016-02-15 16:30:48 -07:00
|
|
|
|
// Shrink the stack if not much of it is being used. During
|
|
|
|
|
// concurrent GC, we can do this during concurrent mark.
|
|
|
|
|
if !work.markrootDone {
|
|
|
|
|
shrinkstack(gp)
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
// Scan the stack.
|
runtime: add pcvalue cache to improve stack scan speed
The cost of scanning large stacks is currently dominated by the time
spent looking up and decoding the pcvalue table. However, large stacks
are usually large not because they contain calls to many different
functions, but because they contain many calls to the same, small set
of recursive functions. Hence, walking large stacks tends to make the
same pcvalue queries many times.
Based on this observation, this commit adds a small, very simple, and
fast cache in front of pcvalue lookup. We thread this cache down from
operations that make many pcvalue calls, such as gentraceback, stack
scanning, and stack adjusting.
This simple cache works well because it has minimal overhead when it's
not effective. I also tried a hashed direct-map cache, CLOCK-based
replacement, round-robin replacement, and round-robin with lookups
disabled until there had been at least 16 probes, but none of these
approaches had obvious wins over the random replacement policy in this
commit.
This nearly doubles the overall performance of the deep stack test
program from issue #10898:
name old time/op new time/op delta
Issue10898 16.5s ±12% 9.2s ±12% -44.37% (p=0.008 n=5+5)
It's a very slight win on the garbage benchmark:
name old time/op new time/op delta
XBenchGarbage-12 4.92ms ± 1% 4.89ms ± 1% -0.75% (p=0.000 n=18+19)
It's a wash (but doesn't harm performance) on the go1 benchmarks,
which don't have particularly deep stacks:
name old time/op new time/op delta
BinaryTree17-12 3.11s ± 2% 3.20s ± 3% +2.83% (p=0.000 n=17+20)
Fannkuch11-12 2.51s ± 1% 2.51s ± 1% -0.22% (p=0.034 n=19+18)
FmtFprintfEmpty-12 50.8ns ± 3% 50.6ns ± 2% ~ (p=0.793 n=20+20)
FmtFprintfString-12 174ns ± 0% 174ns ± 1% +0.17% (p=0.048 n=15+20)
FmtFprintfInt-12 177ns ± 0% 165ns ± 1% -6.99% (p=0.000 n=17+19)
FmtFprintfIntInt-12 283ns ± 1% 284ns ± 0% +0.22% (p=0.000 n=18+15)
FmtFprintfPrefixedInt-12 243ns ± 1% 244ns ± 1% +0.40% (p=0.000 n=20+19)
FmtFprintfFloat-12 318ns ± 0% 319ns ± 0% +0.27% (p=0.001 n=19+20)
FmtManyArgs-12 1.12µs ± 0% 1.14µs ± 0% +1.74% (p=0.000 n=19+20)
GobDecode-12 8.69ms ± 0% 8.73ms ± 1% +0.46% (p=0.000 n=18+18)
GobEncode-12 6.64ms ± 1% 6.61ms ± 1% -0.46% (p=0.000 n=20+20)
Gzip-12 323ms ± 2% 319ms ± 1% -1.11% (p=0.000 n=20+20)
Gunzip-12 42.8ms ± 0% 42.9ms ± 0% ~ (p=0.158 n=18+20)
HTTPClientServer-12 63.3µs ± 1% 63.1µs ± 1% -0.35% (p=0.011 n=20+20)
JSONEncode-12 16.9ms ± 1% 17.3ms ± 1% +2.84% (p=0.000 n=19+20)
JSONDecode-12 59.7ms ± 0% 58.5ms ± 0% -2.05% (p=0.000 n=19+17)
Mandelbrot200-12 3.92ms ± 0% 3.91ms ± 0% -0.16% (p=0.003 n=19+19)
GoParse-12 3.79ms ± 2% 3.75ms ± 2% -0.91% (p=0.005 n=20+20)
RegexpMatchEasy0_32-12 102ns ± 1% 101ns ± 1% -0.80% (p=0.001 n=14+20)
RegexpMatchEasy0_1K-12 337ns ± 1% 346ns ± 1% +2.90% (p=0.000 n=20+19)
RegexpMatchEasy1_32-12 84.4ns ± 2% 84.3ns ± 2% ~ (p=0.743 n=20+20)
RegexpMatchEasy1_1K-12 502ns ± 1% 505ns ± 0% +0.64% (p=0.000 n=20+20)
RegexpMatchMedium_32-12 133ns ± 1% 132ns ± 1% -0.85% (p=0.000 n=20+19)
RegexpMatchMedium_1K-12 40.1µs ± 1% 39.8µs ± 1% -0.77% (p=0.000 n=18+18)
RegexpMatchHard_32-12 2.08µs ± 1% 2.07µs ± 1% -0.55% (p=0.001 n=18+19)
RegexpMatchHard_1K-12 62.4µs ± 1% 62.0µs ± 1% -0.74% (p=0.000 n=19+19)
Revcomp-12 545ms ± 2% 545ms ± 3% ~ (p=0.771 n=19+20)
Template-12 73.7ms ± 1% 72.0ms ± 0% -2.33% (p=0.000 n=20+18)
TimeParse-12 358ns ± 1% 351ns ± 1% -2.07% (p=0.000 n=20+20)
TimeFormat-12 369ns ± 1% 356ns ± 0% -3.53% (p=0.000 n=20+18)
[Geo mean] 63.5µs 63.2µs -0.41%
name old speed new speed delta
GobDecode-12 88.3MB/s ± 0% 87.9MB/s ± 0% -0.43% (p=0.000 n=18+17)
GobEncode-12 116MB/s ± 1% 116MB/s ± 1% +0.47% (p=0.000 n=20+20)
Gzip-12 60.2MB/s ± 2% 60.8MB/s ± 1% +1.13% (p=0.000 n=20+20)
Gunzip-12 453MB/s ± 0% 453MB/s ± 0% ~ (p=0.160 n=18+20)
JSONEncode-12 115MB/s ± 1% 112MB/s ± 1% -2.76% (p=0.000 n=19+20)
JSONDecode-12 32.5MB/s ± 0% 33.2MB/s ± 0% +2.09% (p=0.000 n=19+17)
GoParse-12 15.3MB/s ± 2% 15.4MB/s ± 2% +0.92% (p=0.004 n=20+20)
RegexpMatchEasy0_32-12 311MB/s ± 1% 314MB/s ± 1% +0.78% (p=0.000 n=15+19)
RegexpMatchEasy0_1K-12 3.04GB/s ± 1% 2.95GB/s ± 1% -2.90% (p=0.000 n=19+19)
RegexpMatchEasy1_32-12 379MB/s ± 2% 380MB/s ± 2% ~ (p=0.779 n=20+20)
RegexpMatchEasy1_1K-12 2.04GB/s ± 1% 2.02GB/s ± 0% -0.62% (p=0.000 n=20+20)
RegexpMatchMedium_32-12 7.46MB/s ± 1% 7.53MB/s ± 1% +0.86% (p=0.000 n=20+19)
RegexpMatchMedium_1K-12 25.5MB/s ± 1% 25.7MB/s ± 1% +0.78% (p=0.000 n=18+18)
RegexpMatchHard_32-12 15.4MB/s ± 1% 15.5MB/s ± 1% +0.62% (p=0.000 n=19+19)
RegexpMatchHard_1K-12 16.4MB/s ± 1% 16.5MB/s ± 1% +0.82% (p=0.000 n=20+19)
Revcomp-12 466MB/s ± 2% 466MB/s ± 3% ~ (p=0.765 n=19+20)
Template-12 26.3MB/s ± 1% 27.0MB/s ± 0% +2.38% (p=0.000 n=20+18)
[Geo mean] 97.8MB/s 98.0MB/s +0.23%
Change-Id: I281044ae0b24990ba46487cacbc1069493274bc4
Reviewed-on: https://go-review.googlesource.com/13614
Reviewed-by: Keith Randall <khr@golang.org>
2015-08-12 21:43:43 -06:00
|
|
|
|
var cache pcvalueCache
|
2015-02-19 11:38:46 -07:00
|
|
|
|
scanframe := func(frame *stkframe, unused unsafe.Pointer) bool {
|
runtime: add pcvalue cache to improve stack scan speed
The cost of scanning large stacks is currently dominated by the time
spent looking up and decoding the pcvalue table. However, large stacks
are usually large not because they contain calls to many different
functions, but because they contain many calls to the same, small set
of recursive functions. Hence, walking large stacks tends to make the
same pcvalue queries many times.
Based on this observation, this commit adds a small, very simple, and
fast cache in front of pcvalue lookup. We thread this cache down from
operations that make many pcvalue calls, such as gentraceback, stack
scanning, and stack adjusting.
This simple cache works well because it has minimal overhead when it's
not effective. I also tried a hashed direct-map cache, CLOCK-based
replacement, round-robin replacement, and round-robin with lookups
disabled until there had been at least 16 probes, but none of these
approaches had obvious wins over the random replacement policy in this
commit.
This nearly doubles the overall performance of the deep stack test
program from issue #10898:
name old time/op new time/op delta
Issue10898 16.5s ±12% 9.2s ±12% -44.37% (p=0.008 n=5+5)
It's a very slight win on the garbage benchmark:
name old time/op new time/op delta
XBenchGarbage-12 4.92ms ± 1% 4.89ms ± 1% -0.75% (p=0.000 n=18+19)
It's a wash (but doesn't harm performance) on the go1 benchmarks,
which don't have particularly deep stacks:
name old time/op new time/op delta
BinaryTree17-12 3.11s ± 2% 3.20s ± 3% +2.83% (p=0.000 n=17+20)
Fannkuch11-12 2.51s ± 1% 2.51s ± 1% -0.22% (p=0.034 n=19+18)
FmtFprintfEmpty-12 50.8ns ± 3% 50.6ns ± 2% ~ (p=0.793 n=20+20)
FmtFprintfString-12 174ns ± 0% 174ns ± 1% +0.17% (p=0.048 n=15+20)
FmtFprintfInt-12 177ns ± 0% 165ns ± 1% -6.99% (p=0.000 n=17+19)
FmtFprintfIntInt-12 283ns ± 1% 284ns ± 0% +0.22% (p=0.000 n=18+15)
FmtFprintfPrefixedInt-12 243ns ± 1% 244ns ± 1% +0.40% (p=0.000 n=20+19)
FmtFprintfFloat-12 318ns ± 0% 319ns ± 0% +0.27% (p=0.001 n=19+20)
FmtManyArgs-12 1.12µs ± 0% 1.14µs ± 0% +1.74% (p=0.000 n=19+20)
GobDecode-12 8.69ms ± 0% 8.73ms ± 1% +0.46% (p=0.000 n=18+18)
GobEncode-12 6.64ms ± 1% 6.61ms ± 1% -0.46% (p=0.000 n=20+20)
Gzip-12 323ms ± 2% 319ms ± 1% -1.11% (p=0.000 n=20+20)
Gunzip-12 42.8ms ± 0% 42.9ms ± 0% ~ (p=0.158 n=18+20)
HTTPClientServer-12 63.3µs ± 1% 63.1µs ± 1% -0.35% (p=0.011 n=20+20)
JSONEncode-12 16.9ms ± 1% 17.3ms ± 1% +2.84% (p=0.000 n=19+20)
JSONDecode-12 59.7ms ± 0% 58.5ms ± 0% -2.05% (p=0.000 n=19+17)
Mandelbrot200-12 3.92ms ± 0% 3.91ms ± 0% -0.16% (p=0.003 n=19+19)
GoParse-12 3.79ms ± 2% 3.75ms ± 2% -0.91% (p=0.005 n=20+20)
RegexpMatchEasy0_32-12 102ns ± 1% 101ns ± 1% -0.80% (p=0.001 n=14+20)
RegexpMatchEasy0_1K-12 337ns ± 1% 346ns ± 1% +2.90% (p=0.000 n=20+19)
RegexpMatchEasy1_32-12 84.4ns ± 2% 84.3ns ± 2% ~ (p=0.743 n=20+20)
RegexpMatchEasy1_1K-12 502ns ± 1% 505ns ± 0% +0.64% (p=0.000 n=20+20)
RegexpMatchMedium_32-12 133ns ± 1% 132ns ± 1% -0.85% (p=0.000 n=20+19)
RegexpMatchMedium_1K-12 40.1µs ± 1% 39.8µs ± 1% -0.77% (p=0.000 n=18+18)
RegexpMatchHard_32-12 2.08µs ± 1% 2.07µs ± 1% -0.55% (p=0.001 n=18+19)
RegexpMatchHard_1K-12 62.4µs ± 1% 62.0µs ± 1% -0.74% (p=0.000 n=19+19)
Revcomp-12 545ms ± 2% 545ms ± 3% ~ (p=0.771 n=19+20)
Template-12 73.7ms ± 1% 72.0ms ± 0% -2.33% (p=0.000 n=20+18)
TimeParse-12 358ns ± 1% 351ns ± 1% -2.07% (p=0.000 n=20+20)
TimeFormat-12 369ns ± 1% 356ns ± 0% -3.53% (p=0.000 n=20+18)
[Geo mean] 63.5µs 63.2µs -0.41%
name old speed new speed delta
GobDecode-12 88.3MB/s ± 0% 87.9MB/s ± 0% -0.43% (p=0.000 n=18+17)
GobEncode-12 116MB/s ± 1% 116MB/s ± 1% +0.47% (p=0.000 n=20+20)
Gzip-12 60.2MB/s ± 2% 60.8MB/s ± 1% +1.13% (p=0.000 n=20+20)
Gunzip-12 453MB/s ± 0% 453MB/s ± 0% ~ (p=0.160 n=18+20)
JSONEncode-12 115MB/s ± 1% 112MB/s ± 1% -2.76% (p=0.000 n=19+20)
JSONDecode-12 32.5MB/s ± 0% 33.2MB/s ± 0% +2.09% (p=0.000 n=19+17)
GoParse-12 15.3MB/s ± 2% 15.4MB/s ± 2% +0.92% (p=0.004 n=20+20)
RegexpMatchEasy0_32-12 311MB/s ± 1% 314MB/s ± 1% +0.78% (p=0.000 n=15+19)
RegexpMatchEasy0_1K-12 3.04GB/s ± 1% 2.95GB/s ± 1% -2.90% (p=0.000 n=19+19)
RegexpMatchEasy1_32-12 379MB/s ± 2% 380MB/s ± 2% ~ (p=0.779 n=20+20)
RegexpMatchEasy1_1K-12 2.04GB/s ± 1% 2.02GB/s ± 0% -0.62% (p=0.000 n=20+20)
RegexpMatchMedium_32-12 7.46MB/s ± 1% 7.53MB/s ± 1% +0.86% (p=0.000 n=20+19)
RegexpMatchMedium_1K-12 25.5MB/s ± 1% 25.7MB/s ± 1% +0.78% (p=0.000 n=18+18)
RegexpMatchHard_32-12 15.4MB/s ± 1% 15.5MB/s ± 1% +0.62% (p=0.000 n=19+19)
RegexpMatchHard_1K-12 16.4MB/s ± 1% 16.5MB/s ± 1% +0.82% (p=0.000 n=20+19)
Revcomp-12 466MB/s ± 2% 466MB/s ± 3% ~ (p=0.765 n=19+20)
Template-12 26.3MB/s ± 1% 27.0MB/s ± 0% +2.38% (p=0.000 n=20+18)
[Geo mean] 97.8MB/s 98.0MB/s +0.23%
Change-Id: I281044ae0b24990ba46487cacbc1069493274bc4
Reviewed-on: https://go-review.googlesource.com/13614
Reviewed-by: Keith Randall <khr@golang.org>
2015-08-12 21:43:43 -06:00
|
|
|
|
scanframeworker(frame, &cache, gcw)
|
2015-02-19 11:38:46 -07:00
|
|
|
|
return true
|
|
|
|
|
}
|
|
|
|
|
gentraceback(^uintptr(0), ^uintptr(0), 0, gp, 0, nil, 0x7fffffff, scanframe, nil, 0)
|
|
|
|
|
tracebackdefers(gp, scanframe, nil)
|
|
|
|
|
gp.gcscanvalid = true
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
// Scan a stack frame: local variables and function arguments/results.
|
|
|
|
|
//go:nowritebarrier
|
runtime: add pcvalue cache to improve stack scan speed
The cost of scanning large stacks is currently dominated by the time
spent looking up and decoding the pcvalue table. However, large stacks
are usually large not because they contain calls to many different
functions, but because they contain many calls to the same, small set
of recursive functions. Hence, walking large stacks tends to make the
same pcvalue queries many times.
Based on this observation, this commit adds a small, very simple, and
fast cache in front of pcvalue lookup. We thread this cache down from
operations that make many pcvalue calls, such as gentraceback, stack
scanning, and stack adjusting.
This simple cache works well because it has minimal overhead when it's
not effective. I also tried a hashed direct-map cache, CLOCK-based
replacement, round-robin replacement, and round-robin with lookups
disabled until there had been at least 16 probes, but none of these
approaches had obvious wins over the random replacement policy in this
commit.
This nearly doubles the overall performance of the deep stack test
program from issue #10898:
name old time/op new time/op delta
Issue10898 16.5s ±12% 9.2s ±12% -44.37% (p=0.008 n=5+5)
It's a very slight win on the garbage benchmark:
name old time/op new time/op delta
XBenchGarbage-12 4.92ms ± 1% 4.89ms ± 1% -0.75% (p=0.000 n=18+19)
It's a wash (but doesn't harm performance) on the go1 benchmarks,
which don't have particularly deep stacks:
name old time/op new time/op delta
BinaryTree17-12 3.11s ± 2% 3.20s ± 3% +2.83% (p=0.000 n=17+20)
Fannkuch11-12 2.51s ± 1% 2.51s ± 1% -0.22% (p=0.034 n=19+18)
FmtFprintfEmpty-12 50.8ns ± 3% 50.6ns ± 2% ~ (p=0.793 n=20+20)
FmtFprintfString-12 174ns ± 0% 174ns ± 1% +0.17% (p=0.048 n=15+20)
FmtFprintfInt-12 177ns ± 0% 165ns ± 1% -6.99% (p=0.000 n=17+19)
FmtFprintfIntInt-12 283ns ± 1% 284ns ± 0% +0.22% (p=0.000 n=18+15)
FmtFprintfPrefixedInt-12 243ns ± 1% 244ns ± 1% +0.40% (p=0.000 n=20+19)
FmtFprintfFloat-12 318ns ± 0% 319ns ± 0% +0.27% (p=0.001 n=19+20)
FmtManyArgs-12 1.12µs ± 0% 1.14µs ± 0% +1.74% (p=0.000 n=19+20)
GobDecode-12 8.69ms ± 0% 8.73ms ± 1% +0.46% (p=0.000 n=18+18)
GobEncode-12 6.64ms ± 1% 6.61ms ± 1% -0.46% (p=0.000 n=20+20)
Gzip-12 323ms ± 2% 319ms ± 1% -1.11% (p=0.000 n=20+20)
Gunzip-12 42.8ms ± 0% 42.9ms ± 0% ~ (p=0.158 n=18+20)
HTTPClientServer-12 63.3µs ± 1% 63.1µs ± 1% -0.35% (p=0.011 n=20+20)
JSONEncode-12 16.9ms ± 1% 17.3ms ± 1% +2.84% (p=0.000 n=19+20)
JSONDecode-12 59.7ms ± 0% 58.5ms ± 0% -2.05% (p=0.000 n=19+17)
Mandelbrot200-12 3.92ms ± 0% 3.91ms ± 0% -0.16% (p=0.003 n=19+19)
GoParse-12 3.79ms ± 2% 3.75ms ± 2% -0.91% (p=0.005 n=20+20)
RegexpMatchEasy0_32-12 102ns ± 1% 101ns ± 1% -0.80% (p=0.001 n=14+20)
RegexpMatchEasy0_1K-12 337ns ± 1% 346ns ± 1% +2.90% (p=0.000 n=20+19)
RegexpMatchEasy1_32-12 84.4ns ± 2% 84.3ns ± 2% ~ (p=0.743 n=20+20)
RegexpMatchEasy1_1K-12 502ns ± 1% 505ns ± 0% +0.64% (p=0.000 n=20+20)
RegexpMatchMedium_32-12 133ns ± 1% 132ns ± 1% -0.85% (p=0.000 n=20+19)
RegexpMatchMedium_1K-12 40.1µs ± 1% 39.8µs ± 1% -0.77% (p=0.000 n=18+18)
RegexpMatchHard_32-12 2.08µs ± 1% 2.07µs ± 1% -0.55% (p=0.001 n=18+19)
RegexpMatchHard_1K-12 62.4µs ± 1% 62.0µs ± 1% -0.74% (p=0.000 n=19+19)
Revcomp-12 545ms ± 2% 545ms ± 3% ~ (p=0.771 n=19+20)
Template-12 73.7ms ± 1% 72.0ms ± 0% -2.33% (p=0.000 n=20+18)
TimeParse-12 358ns ± 1% 351ns ± 1% -2.07% (p=0.000 n=20+20)
TimeFormat-12 369ns ± 1% 356ns ± 0% -3.53% (p=0.000 n=20+18)
[Geo mean] 63.5µs 63.2µs -0.41%
name old speed new speed delta
GobDecode-12 88.3MB/s ± 0% 87.9MB/s ± 0% -0.43% (p=0.000 n=18+17)
GobEncode-12 116MB/s ± 1% 116MB/s ± 1% +0.47% (p=0.000 n=20+20)
Gzip-12 60.2MB/s ± 2% 60.8MB/s ± 1% +1.13% (p=0.000 n=20+20)
Gunzip-12 453MB/s ± 0% 453MB/s ± 0% ~ (p=0.160 n=18+20)
JSONEncode-12 115MB/s ± 1% 112MB/s ± 1% -2.76% (p=0.000 n=19+20)
JSONDecode-12 32.5MB/s ± 0% 33.2MB/s ± 0% +2.09% (p=0.000 n=19+17)
GoParse-12 15.3MB/s ± 2% 15.4MB/s ± 2% +0.92% (p=0.004 n=20+20)
RegexpMatchEasy0_32-12 311MB/s ± 1% 314MB/s ± 1% +0.78% (p=0.000 n=15+19)
RegexpMatchEasy0_1K-12 3.04GB/s ± 1% 2.95GB/s ± 1% -2.90% (p=0.000 n=19+19)
RegexpMatchEasy1_32-12 379MB/s ± 2% 380MB/s ± 2% ~ (p=0.779 n=20+20)
RegexpMatchEasy1_1K-12 2.04GB/s ± 1% 2.02GB/s ± 0% -0.62% (p=0.000 n=20+20)
RegexpMatchMedium_32-12 7.46MB/s ± 1% 7.53MB/s ± 1% +0.86% (p=0.000 n=20+19)
RegexpMatchMedium_1K-12 25.5MB/s ± 1% 25.7MB/s ± 1% +0.78% (p=0.000 n=18+18)
RegexpMatchHard_32-12 15.4MB/s ± 1% 15.5MB/s ± 1% +0.62% (p=0.000 n=19+19)
RegexpMatchHard_1K-12 16.4MB/s ± 1% 16.5MB/s ± 1% +0.82% (p=0.000 n=20+19)
Revcomp-12 466MB/s ± 2% 466MB/s ± 3% ~ (p=0.765 n=19+20)
Template-12 26.3MB/s ± 1% 27.0MB/s ± 0% +2.38% (p=0.000 n=20+18)
[Geo mean] 97.8MB/s 98.0MB/s +0.23%
Change-Id: I281044ae0b24990ba46487cacbc1069493274bc4
Reviewed-on: https://go-review.googlesource.com/13614
Reviewed-by: Keith Randall <khr@golang.org>
2015-08-12 21:43:43 -06:00
|
|
|
|
func scanframeworker(frame *stkframe, cache *pcvalueCache, gcw *gcWork) {
|
2015-02-19 11:38:46 -07:00
|
|
|
|
|
|
|
|
|
f := frame.fn
|
|
|
|
|
targetpc := frame.continpc
|
|
|
|
|
if targetpc == 0 {
|
|
|
|
|
// Frame is dead.
|
|
|
|
|
return
|
|
|
|
|
}
|
|
|
|
|
if _DebugGC > 1 {
|
|
|
|
|
print("scanframe ", funcname(f), "\n")
|
|
|
|
|
}
|
|
|
|
|
if targetpc != f.entry {
|
|
|
|
|
targetpc--
|
|
|
|
|
}
|
runtime: add pcvalue cache to improve stack scan speed
The cost of scanning large stacks is currently dominated by the time
spent looking up and decoding the pcvalue table. However, large stacks
are usually large not because they contain calls to many different
functions, but because they contain many calls to the same, small set
of recursive functions. Hence, walking large stacks tends to make the
same pcvalue queries many times.
Based on this observation, this commit adds a small, very simple, and
fast cache in front of pcvalue lookup. We thread this cache down from
operations that make many pcvalue calls, such as gentraceback, stack
scanning, and stack adjusting.
This simple cache works well because it has minimal overhead when it's
not effective. I also tried a hashed direct-map cache, CLOCK-based
replacement, round-robin replacement, and round-robin with lookups
disabled until there had been at least 16 probes, but none of these
approaches had obvious wins over the random replacement policy in this
commit.
This nearly doubles the overall performance of the deep stack test
program from issue #10898:
name old time/op new time/op delta
Issue10898 16.5s ±12% 9.2s ±12% -44.37% (p=0.008 n=5+5)
It's a very slight win on the garbage benchmark:
name old time/op new time/op delta
XBenchGarbage-12 4.92ms ± 1% 4.89ms ± 1% -0.75% (p=0.000 n=18+19)
It's a wash (but doesn't harm performance) on the go1 benchmarks,
which don't have particularly deep stacks:
name old time/op new time/op delta
BinaryTree17-12 3.11s ± 2% 3.20s ± 3% +2.83% (p=0.000 n=17+20)
Fannkuch11-12 2.51s ± 1% 2.51s ± 1% -0.22% (p=0.034 n=19+18)
FmtFprintfEmpty-12 50.8ns ± 3% 50.6ns ± 2% ~ (p=0.793 n=20+20)
FmtFprintfString-12 174ns ± 0% 174ns ± 1% +0.17% (p=0.048 n=15+20)
FmtFprintfInt-12 177ns ± 0% 165ns ± 1% -6.99% (p=0.000 n=17+19)
FmtFprintfIntInt-12 283ns ± 1% 284ns ± 0% +0.22% (p=0.000 n=18+15)
FmtFprintfPrefixedInt-12 243ns ± 1% 244ns ± 1% +0.40% (p=0.000 n=20+19)
FmtFprintfFloat-12 318ns ± 0% 319ns ± 0% +0.27% (p=0.001 n=19+20)
FmtManyArgs-12 1.12µs ± 0% 1.14µs ± 0% +1.74% (p=0.000 n=19+20)
GobDecode-12 8.69ms ± 0% 8.73ms ± 1% +0.46% (p=0.000 n=18+18)
GobEncode-12 6.64ms ± 1% 6.61ms ± 1% -0.46% (p=0.000 n=20+20)
Gzip-12 323ms ± 2% 319ms ± 1% -1.11% (p=0.000 n=20+20)
Gunzip-12 42.8ms ± 0% 42.9ms ± 0% ~ (p=0.158 n=18+20)
HTTPClientServer-12 63.3µs ± 1% 63.1µs ± 1% -0.35% (p=0.011 n=20+20)
JSONEncode-12 16.9ms ± 1% 17.3ms ± 1% +2.84% (p=0.000 n=19+20)
JSONDecode-12 59.7ms ± 0% 58.5ms ± 0% -2.05% (p=0.000 n=19+17)
Mandelbrot200-12 3.92ms ± 0% 3.91ms ± 0% -0.16% (p=0.003 n=19+19)
GoParse-12 3.79ms ± 2% 3.75ms ± 2% -0.91% (p=0.005 n=20+20)
RegexpMatchEasy0_32-12 102ns ± 1% 101ns ± 1% -0.80% (p=0.001 n=14+20)
RegexpMatchEasy0_1K-12 337ns ± 1% 346ns ± 1% +2.90% (p=0.000 n=20+19)
RegexpMatchEasy1_32-12 84.4ns ± 2% 84.3ns ± 2% ~ (p=0.743 n=20+20)
RegexpMatchEasy1_1K-12 502ns ± 1% 505ns ± 0% +0.64% (p=0.000 n=20+20)
RegexpMatchMedium_32-12 133ns ± 1% 132ns ± 1% -0.85% (p=0.000 n=20+19)
RegexpMatchMedium_1K-12 40.1µs ± 1% 39.8µs ± 1% -0.77% (p=0.000 n=18+18)
RegexpMatchHard_32-12 2.08µs ± 1% 2.07µs ± 1% -0.55% (p=0.001 n=18+19)
RegexpMatchHard_1K-12 62.4µs ± 1% 62.0µs ± 1% -0.74% (p=0.000 n=19+19)
Revcomp-12 545ms ± 2% 545ms ± 3% ~ (p=0.771 n=19+20)
Template-12 73.7ms ± 1% 72.0ms ± 0% -2.33% (p=0.000 n=20+18)
TimeParse-12 358ns ± 1% 351ns ± 1% -2.07% (p=0.000 n=20+20)
TimeFormat-12 369ns ± 1% 356ns ± 0% -3.53% (p=0.000 n=20+18)
[Geo mean] 63.5µs 63.2µs -0.41%
name old speed new speed delta
GobDecode-12 88.3MB/s ± 0% 87.9MB/s ± 0% -0.43% (p=0.000 n=18+17)
GobEncode-12 116MB/s ± 1% 116MB/s ± 1% +0.47% (p=0.000 n=20+20)
Gzip-12 60.2MB/s ± 2% 60.8MB/s ± 1% +1.13% (p=0.000 n=20+20)
Gunzip-12 453MB/s ± 0% 453MB/s ± 0% ~ (p=0.160 n=18+20)
JSONEncode-12 115MB/s ± 1% 112MB/s ± 1% -2.76% (p=0.000 n=19+20)
JSONDecode-12 32.5MB/s ± 0% 33.2MB/s ± 0% +2.09% (p=0.000 n=19+17)
GoParse-12 15.3MB/s ± 2% 15.4MB/s ± 2% +0.92% (p=0.004 n=20+20)
RegexpMatchEasy0_32-12 311MB/s ± 1% 314MB/s ± 1% +0.78% (p=0.000 n=15+19)
RegexpMatchEasy0_1K-12 3.04GB/s ± 1% 2.95GB/s ± 1% -2.90% (p=0.000 n=19+19)
RegexpMatchEasy1_32-12 379MB/s ± 2% 380MB/s ± 2% ~ (p=0.779 n=20+20)
RegexpMatchEasy1_1K-12 2.04GB/s ± 1% 2.02GB/s ± 0% -0.62% (p=0.000 n=20+20)
RegexpMatchMedium_32-12 7.46MB/s ± 1% 7.53MB/s ± 1% +0.86% (p=0.000 n=20+19)
RegexpMatchMedium_1K-12 25.5MB/s ± 1% 25.7MB/s ± 1% +0.78% (p=0.000 n=18+18)
RegexpMatchHard_32-12 15.4MB/s ± 1% 15.5MB/s ± 1% +0.62% (p=0.000 n=19+19)
RegexpMatchHard_1K-12 16.4MB/s ± 1% 16.5MB/s ± 1% +0.82% (p=0.000 n=20+19)
Revcomp-12 466MB/s ± 2% 466MB/s ± 3% ~ (p=0.765 n=19+20)
Template-12 26.3MB/s ± 1% 27.0MB/s ± 0% +2.38% (p=0.000 n=20+18)
[Geo mean] 97.8MB/s 98.0MB/s +0.23%
Change-Id: I281044ae0b24990ba46487cacbc1069493274bc4
Reviewed-on: https://go-review.googlesource.com/13614
Reviewed-by: Keith Randall <khr@golang.org>
2015-08-12 21:43:43 -06:00
|
|
|
|
pcdata := pcdatavalue(f, _PCDATA_StackMapIndex, targetpc, cache)
|
2015-02-19 11:38:46 -07:00
|
|
|
|
if pcdata == -1 {
|
|
|
|
|
// We do not have a valid pcdata value but there might be a
|
2016-03-01 16:21:55 -07:00
|
|
|
|
// stackmap for this function. It is likely that we are looking
|
2015-02-19 11:38:46 -07:00
|
|
|
|
// at the function prologue, assume so and hope for the best.
|
|
|
|
|
pcdata = 0
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
// Scan local variables if stack frame has been allocated.
|
|
|
|
|
size := frame.varp - frame.sp
|
|
|
|
|
var minsize uintptr
|
2016-04-07 00:42:35 -06:00
|
|
|
|
switch sys.ArchFamily {
|
|
|
|
|
case sys.ARM64:
|
2015-11-11 10:39:30 -07:00
|
|
|
|
minsize = sys.SpAlign
|
2015-03-08 07:20:20 -06:00
|
|
|
|
default:
|
2015-11-11 10:39:30 -07:00
|
|
|
|
minsize = sys.MinFrameSize
|
2015-02-19 11:38:46 -07:00
|
|
|
|
}
|
|
|
|
|
if size > minsize {
|
|
|
|
|
stkmap := (*stackmap)(funcdata(f, _FUNCDATA_LocalsPointerMaps))
|
|
|
|
|
if stkmap == nil || stkmap.n <= 0 {
|
|
|
|
|
print("runtime: frame ", funcname(f), " untyped locals ", hex(frame.varp-size), "+", hex(size), "\n")
|
|
|
|
|
throw("missing stackmap")
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
// Locals bitmap information, scan just the pointers in locals.
|
|
|
|
|
if pcdata < 0 || pcdata >= stkmap.n {
|
|
|
|
|
// don't know where we are
|
|
|
|
|
print("runtime: pcdata is ", pcdata, " and ", stkmap.n, " locals stack map entries for ", funcname(f), " (targetpc=", targetpc, ")\n")
|
|
|
|
|
throw("scanframe: bad symbol table")
|
|
|
|
|
}
|
|
|
|
|
bv := stackmapdata(stkmap, pcdata)
|
2015-11-11 10:39:30 -07:00
|
|
|
|
size = uintptr(bv.n) * sys.PtrSize
|
2015-02-19 11:38:46 -07:00
|
|
|
|
scanblock(frame.varp-size, size, bv.bytedata, gcw)
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
// Scan arguments.
|
|
|
|
|
if frame.arglen > 0 {
|
|
|
|
|
var bv bitvector
|
|
|
|
|
if frame.argmap != nil {
|
|
|
|
|
bv = *frame.argmap
|
|
|
|
|
} else {
|
|
|
|
|
stkmap := (*stackmap)(funcdata(f, _FUNCDATA_ArgsPointerMaps))
|
|
|
|
|
if stkmap == nil || stkmap.n <= 0 {
|
|
|
|
|
print("runtime: frame ", funcname(f), " untyped args ", hex(frame.argp), "+", hex(frame.arglen), "\n")
|
|
|
|
|
throw("missing stackmap")
|
|
|
|
|
}
|
|
|
|
|
if pcdata < 0 || pcdata >= stkmap.n {
|
|
|
|
|
// don't know where we are
|
|
|
|
|
print("runtime: pcdata is ", pcdata, " and ", stkmap.n, " args stack map entries for ", funcname(f), " (targetpc=", targetpc, ")\n")
|
|
|
|
|
throw("scanframe: bad symbol table")
|
|
|
|
|
}
|
|
|
|
|
bv = stackmapdata(stkmap, pcdata)
|
|
|
|
|
}
|
2015-11-11 10:39:30 -07:00
|
|
|
|
scanblock(frame.argp, uintptr(bv.n)*sys.PtrSize, bv.bytedata, gcw)
|
2015-02-19 11:38:46 -07:00
|
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
|
2015-10-04 20:42:43 -06:00
|
|
|
|
type gcDrainFlags int
|
runtime: multi-threaded, utilization-scheduled background mark
Currently, the concurrent mark phase is performed by the main GC
goroutine. Prior to the previous commit enabling preemption, this
caused marking to always consume 1/GOMAXPROCS of the available CPU
time. If GOMAXPROCS=1, this meant background GC would consume 100% of
the CPU (effectively a STW). If GOMAXPROCS>4, background GC would use
less than the goal of 25%. If GOMAXPROCS=4, background GC would use
the goal 25%, but if the mutator wasn't using the remaining 75%,
background marking wouldn't take advantage of the idle time. Enabling
preemption in the previous commit made GC miss CPU targets in
completely different ways, but set us up to bring everything back in
line.
This change replaces the fixed GC goroutine with per-P background mark
goroutines. Once started, these goroutines don't go in the standard
run queues; instead, they are scheduled specially such that the time
spent in mutator assists and the background mark goroutines totals 25%
of the CPU time available to the program. Furthermore, this lets
background marking take advantage of idle Ps, which significantly
boosts GC performance for applications that under-utilize the CPU.
This requires also changing how time is reported for gctrace, so this
change splits the concurrent mark CPU time into assist/background/idle
scanning.
This also requires increasing the size of the StackRecord slice used
in a GoroutineProfile test.
Change-Id: I0936ff907d2cee6cb687a208f2df47e8988e3157
Reviewed-on: https://go-review.googlesource.com/8850
Reviewed-by: Rick Hudson <rlh@golang.org>
2015-03-23 19:07:33 -06:00
|
|
|
|
|
2015-10-04 20:42:43 -06:00
|
|
|
|
const (
|
|
|
|
|
gcDrainUntilPreempt gcDrainFlags = 1 << iota
|
runtime: eliminate getfull barrier from concurrent mark
Currently dedicated mark workers participate in the getfull barrier
during concurrent mark. However, the getfull barrier wasn't designed
for concurrent work and this causes no end of headaches.
In the concurrent setting, participants come and go. This makes mark
completion susceptible to live-lock: since dedicated workers are only
periodically polling for completion, it's possible for the program to
be in some transient worker each time one of the dedicated workers
wakes up to check if it can exit the getfull barrier. It also
complicates reasoning about the system because dedicated workers
participate directly in the getfull barrier, but transient workers
must instead use trygetfull because they have exit conditions that
aren't captured by getfull (e.g., fractional workers exit when
preempted). The complexity of implementing these exit conditions
contributed to #11677. Furthermore, the getfull barrier is inefficient
because we could be running user code instead of spinning on a P. In
effect, we're dedicating 25% of the CPU to marking even if that means
we have to spin to make that 25%. It also causes issues on Windows
because we can't actually sleep for 100µs (#8687).
Fix this by making dedicated workers no longer participate in the
getfull barrier. Instead, dedicated workers simply return to the
scheduler when they fail to get more work, regardless of what others
workers are doing, and the scheduler only starts new dedicated workers
if there's work available. Everything that needs to be handled by this
barrier is already handled by detection of mark completion.
This makes the system much more symmetric because all workers and
assists now use trygetfull during concurrent mark. It also loosens the
25% CPU target so that we can give some of that 25% back to user code
if there isn't enough work to keep the mark worker busy. And it
eliminates the problematic 100µs sleep on Windows during concurrent
mark (though not during mark termination).
The downside of this is that if we hit a bottleneck in the heap graph
that then expands back out, the system may shut down dedicated workers
and take a while to start them back up. We'll address this in the next
commit.
Updates #12041 and #8687.
No effect on the go1 benchmarks. This slows down the garbage benchmark
by 9%, but we'll more than make it up in the next commit.
name old time/op new time/op delta
XBenchGarbage-12 5.80ms ± 2% 6.32ms ± 4% +9.03% (p=0.000 n=20+20)
Change-Id: I65100a9ba005a8b5cf97940798918672ea9dd09b
Reviewed-on: https://go-review.googlesource.com/16297
Reviewed-by: Rick Hudson <rlh@golang.org>
2015-10-26 14:29:25 -06:00
|
|
|
|
gcDrainNoBlock
|
2015-10-04 20:47:27 -06:00
|
|
|
|
gcDrainFlushBgCredit
|
2016-10-30 18:20:17 -06:00
|
|
|
|
gcDrainIdle
|
2015-10-04 20:42:43 -06:00
|
|
|
|
|
runtime: eliminate getfull barrier from concurrent mark
Currently dedicated mark workers participate in the getfull barrier
during concurrent mark. However, the getfull barrier wasn't designed
for concurrent work and this causes no end of headaches.
In the concurrent setting, participants come and go. This makes mark
completion susceptible to live-lock: since dedicated workers are only
periodically polling for completion, it's possible for the program to
be in some transient worker each time one of the dedicated workers
wakes up to check if it can exit the getfull barrier. It also
complicates reasoning about the system because dedicated workers
participate directly in the getfull barrier, but transient workers
must instead use trygetfull because they have exit conditions that
aren't captured by getfull (e.g., fractional workers exit when
preempted). The complexity of implementing these exit conditions
contributed to #11677. Furthermore, the getfull barrier is inefficient
because we could be running user code instead of spinning on a P. In
effect, we're dedicating 25% of the CPU to marking even if that means
we have to spin to make that 25%. It also causes issues on Windows
because we can't actually sleep for 100µs (#8687).
Fix this by making dedicated workers no longer participate in the
getfull barrier. Instead, dedicated workers simply return to the
scheduler when they fail to get more work, regardless of what others
workers are doing, and the scheduler only starts new dedicated workers
if there's work available. Everything that needs to be handled by this
barrier is already handled by detection of mark completion.
This makes the system much more symmetric because all workers and
assists now use trygetfull during concurrent mark. It also loosens the
25% CPU target so that we can give some of that 25% back to user code
if there isn't enough work to keep the mark worker busy. And it
eliminates the problematic 100µs sleep on Windows during concurrent
mark (though not during mark termination).
The downside of this is that if we hit a bottleneck in the heap graph
that then expands back out, the system may shut down dedicated workers
and take a while to start them back up. We'll address this in the next
commit.
Updates #12041 and #8687.
No effect on the go1 benchmarks. This slows down the garbage benchmark
by 9%, but we'll more than make it up in the next commit.
name old time/op new time/op delta
XBenchGarbage-12 5.80ms ± 2% 6.32ms ± 4% +9.03% (p=0.000 n=20+20)
Change-Id: I65100a9ba005a8b5cf97940798918672ea9dd09b
Reviewed-on: https://go-review.googlesource.com/16297
Reviewed-by: Rick Hudson <rlh@golang.org>
2015-10-26 14:29:25 -06:00
|
|
|
|
// gcDrainBlock means neither gcDrainUntilPreempt or
|
|
|
|
|
// gcDrainNoBlock. It is the default, but callers should use
|
|
|
|
|
// the constant for documentation purposes.
|
2015-10-04 20:42:43 -06:00
|
|
|
|
gcDrainBlock gcDrainFlags = 0
|
|
|
|
|
)
|
|
|
|
|
|
runtime: perform concurrent scan in GC workers
Currently the concurrent root scan is performed in its entirety by the
GC coordinator before entering concurrent mark (which enables GC
workers). This scan is done sequentially, which can prolong the scan
phase, delay the mark phase, and means that the scan phase does not
obey the 25% CPU goal. Furthermore, there's no need to complete the
root scan before starting marking (in fact, we already allow GC
assists to happen during the scan phase), so this acts as an
unnecessary barrier between root scanning and marking.
This change shifts the root scan work out of the GC coordinator and in
to the GC workers. The coordinator simply sets up the scan state and
enqueues the right number of root scan jobs. The GC workers then drain
the root scan jobs prior to draining heap scan jobs.
This parallelizes the root scan process, makes it obey the 25% CPU
goal, and effectively eliminates root scanning as an isolated phase,
allowing the system to smoothly transition from root scanning to heap
marking. This also eliminates a major non-STW responsibility of the GC
coordinator, which will make it easier to switch to a decentralized
state machine. Finally, it puts us in a good position to perform root
scanning in assists as well, which will help satisfy assists at the
beginning of the GC cycle.
This is mostly straightforward. One tricky aspect is that we have to
deal with preemption deadlock: where two non-preemptible gorountines
are trying to preempt each other to perform a stack scan. Given the
context where this happens, the only instance of this is two
background workers trying to scan each other. We avoid this by simply
not scanning the stacks of background workers during the concurrent
phase; this is safe because we'll scan them during mark termination
(and their stacks are *very* small and should not contain any new
pointers).
This change also switches the root marking during mark termination to
use the same gcDrain-based code path as concurrent mark. This
shouldn't affect performance because STW root marking was already
parallel and tasks switched to heap marking immediately when no more
root marking tasks were available. However, it simplifies the code and
unifies these code paths.
This has negligible effect on the go1 benchmarks. It slightly slows
down the garbage benchmark, possibly by making GC run slightly more
frequently.
name old time/op new time/op delta
XBenchGarbage-12 5.10ms ± 1% 5.24ms ± 1% +2.87% (p=0.000 n=18+18)
name old time/op new time/op delta
BinaryTree17-12 3.25s ± 3% 3.20s ± 5% -1.57% (p=0.013 n=20+20)
Fannkuch11-12 2.45s ± 1% 2.46s ± 1% +0.38% (p=0.019 n=20+18)
FmtFprintfEmpty-12 49.7ns ± 3% 49.9ns ± 4% ~ (p=0.851 n=19+20)
FmtFprintfString-12 170ns ± 2% 170ns ± 1% ~ (p=0.775 n=20+19)
FmtFprintfInt-12 161ns ± 1% 160ns ± 1% -0.78% (p=0.000 n=19+18)
FmtFprintfIntInt-12 267ns ± 1% 270ns ± 1% +1.04% (p=0.000 n=19+19)
FmtFprintfPrefixedInt-12 238ns ± 2% 238ns ± 1% ~ (p=0.133 n=18+19)
FmtFprintfFloat-12 311ns ± 1% 310ns ± 2% -0.35% (p=0.023 n=20+19)
FmtManyArgs-12 1.08µs ± 1% 1.06µs ± 1% -2.31% (p=0.000 n=20+20)
GobDecode-12 8.65ms ± 1% 8.63ms ± 1% ~ (p=0.377 n=18+20)
GobEncode-12 6.49ms ± 1% 6.52ms ± 1% +0.37% (p=0.015 n=20+20)
Gzip-12 319ms ± 3% 318ms ± 1% ~ (p=0.975 n=19+17)
Gunzip-12 41.9ms ± 1% 42.1ms ± 2% +0.65% (p=0.004 n=19+20)
HTTPClientServer-12 61.7µs ± 1% 62.6µs ± 1% +1.40% (p=0.000 n=18+20)
JSONEncode-12 16.8ms ± 1% 16.9ms ± 1% ~ (p=0.239 n=20+18)
JSONDecode-12 58.4ms ± 1% 60.7ms ± 1% +3.85% (p=0.000 n=19+20)
Mandelbrot200-12 3.86ms ± 0% 3.86ms ± 1% ~ (p=0.092 n=18+19)
GoParse-12 3.75ms ± 2% 3.75ms ± 2% ~ (p=0.708 n=19+20)
RegexpMatchEasy0_32-12 100ns ± 1% 100ns ± 2% +0.60% (p=0.010 n=17+20)
RegexpMatchEasy0_1K-12 341ns ± 1% 342ns ± 2% ~ (p=0.203 n=20+19)
RegexpMatchEasy1_32-12 82.5ns ± 2% 83.2ns ± 2% +0.83% (p=0.007 n=19+19)
RegexpMatchEasy1_1K-12 495ns ± 1% 495ns ± 2% ~ (p=0.970 n=19+18)
RegexpMatchMedium_32-12 130ns ± 2% 130ns ± 2% +0.59% (p=0.039 n=19+20)
RegexpMatchMedium_1K-12 39.2µs ± 1% 39.3µs ± 1% ~ (p=0.214 n=18+18)
RegexpMatchHard_32-12 2.03µs ± 2% 2.02µs ± 1% ~ (p=0.166 n=18+19)
RegexpMatchHard_1K-12 61.0µs ± 1% 60.9µs ± 1% ~ (p=0.169 n=20+18)
Revcomp-12 533ms ± 1% 535ms ± 1% ~ (p=0.071 n=19+17)
Template-12 68.1ms ± 2% 73.0ms ± 1% +7.26% (p=0.000 n=19+20)
TimeParse-12 355ns ± 2% 356ns ± 2% ~ (p=0.530 n=19+20)
TimeFormat-12 357ns ± 2% 347ns ± 1% -2.59% (p=0.000 n=20+19)
[Geo mean] 62.1µs 62.3µs +0.31%
name old speed new speed delta
GobDecode-12 88.7MB/s ± 1% 88.9MB/s ± 1% ~ (p=0.377 n=18+20)
GobEncode-12 118MB/s ± 1% 118MB/s ± 1% -0.37% (p=0.015 n=20+20)
Gzip-12 60.9MB/s ± 3% 60.9MB/s ± 1% ~ (p=0.944 n=19+17)
Gunzip-12 464MB/s ± 1% 461MB/s ± 2% -0.64% (p=0.004 n=19+20)
JSONEncode-12 115MB/s ± 1% 115MB/s ± 1% ~ (p=0.236 n=20+18)
JSONDecode-12 33.2MB/s ± 1% 32.0MB/s ± 1% -3.71% (p=0.000 n=19+20)
GoParse-12 15.5MB/s ± 2% 15.5MB/s ± 2% ~ (p=0.702 n=19+20)
RegexpMatchEasy0_32-12 320MB/s ± 1% 318MB/s ± 2% ~ (p=0.094 n=18+20)
RegexpMatchEasy0_1K-12 3.00GB/s ± 1% 2.99GB/s ± 1% ~ (p=0.194 n=20+19)
RegexpMatchEasy1_32-12 388MB/s ± 2% 385MB/s ± 2% -0.83% (p=0.008 n=19+19)
RegexpMatchEasy1_1K-12 2.07GB/s ± 1% 2.07GB/s ± 1% ~ (p=0.964 n=19+18)
RegexpMatchMedium_32-12 7.68MB/s ± 1% 7.64MB/s ± 2% -0.57% (p=0.020 n=19+20)
RegexpMatchMedium_1K-12 26.1MB/s ± 1% 26.1MB/s ± 1% ~ (p=0.211 n=18+18)
RegexpMatchHard_32-12 15.8MB/s ± 1% 15.8MB/s ± 1% ~ (p=0.180 n=18+19)
RegexpMatchHard_1K-12 16.8MB/s ± 1% 16.8MB/s ± 2% ~ (p=0.236 n=20+19)
Revcomp-12 477MB/s ± 1% 475MB/s ± 1% ~ (p=0.071 n=19+17)
Template-12 28.5MB/s ± 2% 26.6MB/s ± 1% -6.77% (p=0.000 n=19+20)
[Geo mean] 100MB/s 99.0MB/s -0.82%
Change-Id: I875bf6ceb306d1ee2f470cabf88aa6ede27c47a0
Reviewed-on: https://go-review.googlesource.com/16059
Reviewed-by: Rick Hudson <rlh@golang.org>
Run-TryBot: Austin Clements <austin@google.com>
TryBot-Result: Gobot Gobot <gobot@golang.org>
2015-10-19 11:46:32 -06:00
|
|
|
|
// gcDrain scans roots and objects in work buffers, blackening grey
|
|
|
|
|
// objects until all roots and work buffers have been drained.
|
2015-10-04 20:42:43 -06:00
|
|
|
|
//
|
runtime: eliminate getfull barrier from concurrent mark
Currently dedicated mark workers participate in the getfull barrier
during concurrent mark. However, the getfull barrier wasn't designed
for concurrent work and this causes no end of headaches.
In the concurrent setting, participants come and go. This makes mark
completion susceptible to live-lock: since dedicated workers are only
periodically polling for completion, it's possible for the program to
be in some transient worker each time one of the dedicated workers
wakes up to check if it can exit the getfull barrier. It also
complicates reasoning about the system because dedicated workers
participate directly in the getfull barrier, but transient workers
must instead use trygetfull because they have exit conditions that
aren't captured by getfull (e.g., fractional workers exit when
preempted). The complexity of implementing these exit conditions
contributed to #11677. Furthermore, the getfull barrier is inefficient
because we could be running user code instead of spinning on a P. In
effect, we're dedicating 25% of the CPU to marking even if that means
we have to spin to make that 25%. It also causes issues on Windows
because we can't actually sleep for 100µs (#8687).
Fix this by making dedicated workers no longer participate in the
getfull barrier. Instead, dedicated workers simply return to the
scheduler when they fail to get more work, regardless of what others
workers are doing, and the scheduler only starts new dedicated workers
if there's work available. Everything that needs to be handled by this
barrier is already handled by detection of mark completion.
This makes the system much more symmetric because all workers and
assists now use trygetfull during concurrent mark. It also loosens the
25% CPU target so that we can give some of that 25% back to user code
if there isn't enough work to keep the mark worker busy. And it
eliminates the problematic 100µs sleep on Windows during concurrent
mark (though not during mark termination).
The downside of this is that if we hit a bottleneck in the heap graph
that then expands back out, the system may shut down dedicated workers
and take a while to start them back up. We'll address this in the next
commit.
Updates #12041 and #8687.
No effect on the go1 benchmarks. This slows down the garbage benchmark
by 9%, but we'll more than make it up in the next commit.
name old time/op new time/op delta
XBenchGarbage-12 5.80ms ± 2% 6.32ms ± 4% +9.03% (p=0.000 n=20+20)
Change-Id: I65100a9ba005a8b5cf97940798918672ea9dd09b
Reviewed-on: https://go-review.googlesource.com/16297
Reviewed-by: Rick Hudson <rlh@golang.org>
2015-10-26 14:29:25 -06:00
|
|
|
|
// If flags&gcDrainUntilPreempt != 0, gcDrain returns when g.preempt
|
|
|
|
|
// is set. This implies gcDrainNoBlock.
|
|
|
|
|
//
|
2016-10-30 18:20:17 -06:00
|
|
|
|
// If flags&gcDrainIdle != 0, gcDrain returns when there is other work
|
|
|
|
|
// to do. This implies gcDrainNoBlock.
|
|
|
|
|
//
|
runtime: eliminate getfull barrier from concurrent mark
Currently dedicated mark workers participate in the getfull barrier
during concurrent mark. However, the getfull barrier wasn't designed
for concurrent work and this causes no end of headaches.
In the concurrent setting, participants come and go. This makes mark
completion susceptible to live-lock: since dedicated workers are only
periodically polling for completion, it's possible for the program to
be in some transient worker each time one of the dedicated workers
wakes up to check if it can exit the getfull barrier. It also
complicates reasoning about the system because dedicated workers
participate directly in the getfull barrier, but transient workers
must instead use trygetfull because they have exit conditions that
aren't captured by getfull (e.g., fractional workers exit when
preempted). The complexity of implementing these exit conditions
contributed to #11677. Furthermore, the getfull barrier is inefficient
because we could be running user code instead of spinning on a P. In
effect, we're dedicating 25% of the CPU to marking even if that means
we have to spin to make that 25%. It also causes issues on Windows
because we can't actually sleep for 100µs (#8687).
Fix this by making dedicated workers no longer participate in the
getfull barrier. Instead, dedicated workers simply return to the
scheduler when they fail to get more work, regardless of what others
workers are doing, and the scheduler only starts new dedicated workers
if there's work available. Everything that needs to be handled by this
barrier is already handled by detection of mark completion.
This makes the system much more symmetric because all workers and
assists now use trygetfull during concurrent mark. It also loosens the
25% CPU target so that we can give some of that 25% back to user code
if there isn't enough work to keep the mark worker busy. And it
eliminates the problematic 100µs sleep on Windows during concurrent
mark (though not during mark termination).
The downside of this is that if we hit a bottleneck in the heap graph
that then expands back out, the system may shut down dedicated workers
and take a while to start them back up. We'll address this in the next
commit.
Updates #12041 and #8687.
No effect on the go1 benchmarks. This slows down the garbage benchmark
by 9%, but we'll more than make it up in the next commit.
name old time/op new time/op delta
XBenchGarbage-12 5.80ms ± 2% 6.32ms ± 4% +9.03% (p=0.000 n=20+20)
Change-Id: I65100a9ba005a8b5cf97940798918672ea9dd09b
Reviewed-on: https://go-review.googlesource.com/16297
Reviewed-by: Rick Hudson <rlh@golang.org>
2015-10-26 14:29:25 -06:00
|
|
|
|
// If flags&gcDrainNoBlock != 0, gcDrain returns as soon as it is
|
|
|
|
|
// unable to get more work. Otherwise, it will block until all
|
|
|
|
|
// blocking calls are blocked in gcDrain.
|
2015-10-04 20:42:43 -06:00
|
|
|
|
//
|
2015-10-04 20:47:27 -06:00
|
|
|
|
// If flags&gcDrainFlushBgCredit != 0, gcDrain flushes scan work
|
2015-10-04 21:00:01 -06:00
|
|
|
|
// credit to gcController.bgScanCredit every gcCreditSlack units of
|
2015-10-04 20:47:27 -06:00
|
|
|
|
// scan work.
|
runtime: eliminate getfull barrier from concurrent mark
Currently dedicated mark workers participate in the getfull barrier
during concurrent mark. However, the getfull barrier wasn't designed
for concurrent work and this causes no end of headaches.
In the concurrent setting, participants come and go. This makes mark
completion susceptible to live-lock: since dedicated workers are only
periodically polling for completion, it's possible for the program to
be in some transient worker each time one of the dedicated workers
wakes up to check if it can exit the getfull barrier. It also
complicates reasoning about the system because dedicated workers
participate directly in the getfull barrier, but transient workers
must instead use trygetfull because they have exit conditions that
aren't captured by getfull (e.g., fractional workers exit when
preempted). The complexity of implementing these exit conditions
contributed to #11677. Furthermore, the getfull barrier is inefficient
because we could be running user code instead of spinning on a P. In
effect, we're dedicating 25% of the CPU to marking even if that means
we have to spin to make that 25%. It also causes issues on Windows
because we can't actually sleep for 100µs (#8687).
Fix this by making dedicated workers no longer participate in the
getfull barrier. Instead, dedicated workers simply return to the
scheduler when they fail to get more work, regardless of what others
workers are doing, and the scheduler only starts new dedicated workers
if there's work available. Everything that needs to be handled by this
barrier is already handled by detection of mark completion.
This makes the system much more symmetric because all workers and
assists now use trygetfull during concurrent mark. It also loosens the
25% CPU target so that we can give some of that 25% back to user code
if there isn't enough work to keep the mark worker busy. And it
eliminates the problematic 100µs sleep on Windows during concurrent
mark (though not during mark termination).
The downside of this is that if we hit a bottleneck in the heap graph
that then expands back out, the system may shut down dedicated workers
and take a while to start them back up. We'll address this in the next
commit.
Updates #12041 and #8687.
No effect on the go1 benchmarks. This slows down the garbage benchmark
by 9%, but we'll more than make it up in the next commit.
name old time/op new time/op delta
XBenchGarbage-12 5.80ms ± 2% 6.32ms ± 4% +9.03% (p=0.000 n=20+20)
Change-Id: I65100a9ba005a8b5cf97940798918672ea9dd09b
Reviewed-on: https://go-review.googlesource.com/16297
Reviewed-by: Rick Hudson <rlh@golang.org>
2015-10-26 14:29:25 -06:00
|
|
|
|
//
|
2015-02-19 11:38:46 -07:00
|
|
|
|
//go:nowritebarrier
|
2015-10-04 20:47:27 -06:00
|
|
|
|
func gcDrain(gcw *gcWork, flags gcDrainFlags) {
|
2015-11-13 18:45:22 -07:00
|
|
|
|
if !writeBarrier.needed {
|
2015-07-24 10:33:23 -06:00
|
|
|
|
throw("gcDrain phase incorrect")
|
2015-02-19 11:38:46 -07:00
|
|
|
|
}
|
|
|
|
|
|
2016-10-27 19:52:51 -06:00
|
|
|
|
gp := getg().m.curg
|
2016-01-06 15:07:58 -07:00
|
|
|
|
preemptible := flags&gcDrainUntilPreempt != 0
|
2016-10-30 18:20:17 -06:00
|
|
|
|
blocking := flags&(gcDrainUntilPreempt|gcDrainIdle|gcDrainNoBlock) == 0
|
2015-10-04 20:47:27 -06:00
|
|
|
|
flushBgCredit := flags&gcDrainFlushBgCredit != 0
|
2016-10-30 18:20:17 -06:00
|
|
|
|
idle := flags&gcDrainIdle != 0
|
|
|
|
|
|
|
|
|
|
initScanWork := gcw.scanWork
|
|
|
|
|
// idleCheck is the scan work at which to perform the next
|
|
|
|
|
// idle check with the scheduler.
|
|
|
|
|
idleCheck := initScanWork + idleCheckThreshold
|
2015-10-04 20:42:43 -06:00
|
|
|
|
|
runtime: perform concurrent scan in GC workers
Currently the concurrent root scan is performed in its entirety by the
GC coordinator before entering concurrent mark (which enables GC
workers). This scan is done sequentially, which can prolong the scan
phase, delay the mark phase, and means that the scan phase does not
obey the 25% CPU goal. Furthermore, there's no need to complete the
root scan before starting marking (in fact, we already allow GC
assists to happen during the scan phase), so this acts as an
unnecessary barrier between root scanning and marking.
This change shifts the root scan work out of the GC coordinator and in
to the GC workers. The coordinator simply sets up the scan state and
enqueues the right number of root scan jobs. The GC workers then drain
the root scan jobs prior to draining heap scan jobs.
This parallelizes the root scan process, makes it obey the 25% CPU
goal, and effectively eliminates root scanning as an isolated phase,
allowing the system to smoothly transition from root scanning to heap
marking. This also eliminates a major non-STW responsibility of the GC
coordinator, which will make it easier to switch to a decentralized
state machine. Finally, it puts us in a good position to perform root
scanning in assists as well, which will help satisfy assists at the
beginning of the GC cycle.
This is mostly straightforward. One tricky aspect is that we have to
deal with preemption deadlock: where two non-preemptible gorountines
are trying to preempt each other to perform a stack scan. Given the
context where this happens, the only instance of this is two
background workers trying to scan each other. We avoid this by simply
not scanning the stacks of background workers during the concurrent
phase; this is safe because we'll scan them during mark termination
(and their stacks are *very* small and should not contain any new
pointers).
This change also switches the root marking during mark termination to
use the same gcDrain-based code path as concurrent mark. This
shouldn't affect performance because STW root marking was already
parallel and tasks switched to heap marking immediately when no more
root marking tasks were available. However, it simplifies the code and
unifies these code paths.
This has negligible effect on the go1 benchmarks. It slightly slows
down the garbage benchmark, possibly by making GC run slightly more
frequently.
name old time/op new time/op delta
XBenchGarbage-12 5.10ms ± 1% 5.24ms ± 1% +2.87% (p=0.000 n=18+18)
name old time/op new time/op delta
BinaryTree17-12 3.25s ± 3% 3.20s ± 5% -1.57% (p=0.013 n=20+20)
Fannkuch11-12 2.45s ± 1% 2.46s ± 1% +0.38% (p=0.019 n=20+18)
FmtFprintfEmpty-12 49.7ns ± 3% 49.9ns ± 4% ~ (p=0.851 n=19+20)
FmtFprintfString-12 170ns ± 2% 170ns ± 1% ~ (p=0.775 n=20+19)
FmtFprintfInt-12 161ns ± 1% 160ns ± 1% -0.78% (p=0.000 n=19+18)
FmtFprintfIntInt-12 267ns ± 1% 270ns ± 1% +1.04% (p=0.000 n=19+19)
FmtFprintfPrefixedInt-12 238ns ± 2% 238ns ± 1% ~ (p=0.133 n=18+19)
FmtFprintfFloat-12 311ns ± 1% 310ns ± 2% -0.35% (p=0.023 n=20+19)
FmtManyArgs-12 1.08µs ± 1% 1.06µs ± 1% -2.31% (p=0.000 n=20+20)
GobDecode-12 8.65ms ± 1% 8.63ms ± 1% ~ (p=0.377 n=18+20)
GobEncode-12 6.49ms ± 1% 6.52ms ± 1% +0.37% (p=0.015 n=20+20)
Gzip-12 319ms ± 3% 318ms ± 1% ~ (p=0.975 n=19+17)
Gunzip-12 41.9ms ± 1% 42.1ms ± 2% +0.65% (p=0.004 n=19+20)
HTTPClientServer-12 61.7µs ± 1% 62.6µs ± 1% +1.40% (p=0.000 n=18+20)
JSONEncode-12 16.8ms ± 1% 16.9ms ± 1% ~ (p=0.239 n=20+18)
JSONDecode-12 58.4ms ± 1% 60.7ms ± 1% +3.85% (p=0.000 n=19+20)
Mandelbrot200-12 3.86ms ± 0% 3.86ms ± 1% ~ (p=0.092 n=18+19)
GoParse-12 3.75ms ± 2% 3.75ms ± 2% ~ (p=0.708 n=19+20)
RegexpMatchEasy0_32-12 100ns ± 1% 100ns ± 2% +0.60% (p=0.010 n=17+20)
RegexpMatchEasy0_1K-12 341ns ± 1% 342ns ± 2% ~ (p=0.203 n=20+19)
RegexpMatchEasy1_32-12 82.5ns ± 2% 83.2ns ± 2% +0.83% (p=0.007 n=19+19)
RegexpMatchEasy1_1K-12 495ns ± 1% 495ns ± 2% ~ (p=0.970 n=19+18)
RegexpMatchMedium_32-12 130ns ± 2% 130ns ± 2% +0.59% (p=0.039 n=19+20)
RegexpMatchMedium_1K-12 39.2µs ± 1% 39.3µs ± 1% ~ (p=0.214 n=18+18)
RegexpMatchHard_32-12 2.03µs ± 2% 2.02µs ± 1% ~ (p=0.166 n=18+19)
RegexpMatchHard_1K-12 61.0µs ± 1% 60.9µs ± 1% ~ (p=0.169 n=20+18)
Revcomp-12 533ms ± 1% 535ms ± 1% ~ (p=0.071 n=19+17)
Template-12 68.1ms ± 2% 73.0ms ± 1% +7.26% (p=0.000 n=19+20)
TimeParse-12 355ns ± 2% 356ns ± 2% ~ (p=0.530 n=19+20)
TimeFormat-12 357ns ± 2% 347ns ± 1% -2.59% (p=0.000 n=20+19)
[Geo mean] 62.1µs 62.3µs +0.31%
name old speed new speed delta
GobDecode-12 88.7MB/s ± 1% 88.9MB/s ± 1% ~ (p=0.377 n=18+20)
GobEncode-12 118MB/s ± 1% 118MB/s ± 1% -0.37% (p=0.015 n=20+20)
Gzip-12 60.9MB/s ± 3% 60.9MB/s ± 1% ~ (p=0.944 n=19+17)
Gunzip-12 464MB/s ± 1% 461MB/s ± 2% -0.64% (p=0.004 n=19+20)
JSONEncode-12 115MB/s ± 1% 115MB/s ± 1% ~ (p=0.236 n=20+18)
JSONDecode-12 33.2MB/s ± 1% 32.0MB/s ± 1% -3.71% (p=0.000 n=19+20)
GoParse-12 15.5MB/s ± 2% 15.5MB/s ± 2% ~ (p=0.702 n=19+20)
RegexpMatchEasy0_32-12 320MB/s ± 1% 318MB/s ± 2% ~ (p=0.094 n=18+20)
RegexpMatchEasy0_1K-12 3.00GB/s ± 1% 2.99GB/s ± 1% ~ (p=0.194 n=20+19)
RegexpMatchEasy1_32-12 388MB/s ± 2% 385MB/s ± 2% -0.83% (p=0.008 n=19+19)
RegexpMatchEasy1_1K-12 2.07GB/s ± 1% 2.07GB/s ± 1% ~ (p=0.964 n=19+18)
RegexpMatchMedium_32-12 7.68MB/s ± 1% 7.64MB/s ± 2% -0.57% (p=0.020 n=19+20)
RegexpMatchMedium_1K-12 26.1MB/s ± 1% 26.1MB/s ± 1% ~ (p=0.211 n=18+18)
RegexpMatchHard_32-12 15.8MB/s ± 1% 15.8MB/s ± 1% ~ (p=0.180 n=18+19)
RegexpMatchHard_1K-12 16.8MB/s ± 1% 16.8MB/s ± 2% ~ (p=0.236 n=20+19)
Revcomp-12 477MB/s ± 1% 475MB/s ± 1% ~ (p=0.071 n=19+17)
Template-12 28.5MB/s ± 2% 26.6MB/s ± 1% -6.77% (p=0.000 n=19+20)
[Geo mean] 100MB/s 99.0MB/s -0.82%
Change-Id: I875bf6ceb306d1ee2f470cabf88aa6ede27c47a0
Reviewed-on: https://go-review.googlesource.com/16059
Reviewed-by: Rick Hudson <rlh@golang.org>
Run-TryBot: Austin Clements <austin@google.com>
TryBot-Result: Gobot Gobot <gobot@golang.org>
2015-10-19 11:46:32 -06:00
|
|
|
|
// Drain root marking jobs.
|
|
|
|
|
if work.markrootNext < work.markrootJobs {
|
2016-10-28 09:14:07 -06:00
|
|
|
|
for !(preemptible && gp.preempt) {
|
2015-11-02 12:09:24 -07:00
|
|
|
|
job := atomic.Xadd(&work.markrootNext, +1) - 1
|
runtime: perform concurrent scan in GC workers
Currently the concurrent root scan is performed in its entirety by the
GC coordinator before entering concurrent mark (which enables GC
workers). This scan is done sequentially, which can prolong the scan
phase, delay the mark phase, and means that the scan phase does not
obey the 25% CPU goal. Furthermore, there's no need to complete the
root scan before starting marking (in fact, we already allow GC
assists to happen during the scan phase), so this acts as an
unnecessary barrier between root scanning and marking.
This change shifts the root scan work out of the GC coordinator and in
to the GC workers. The coordinator simply sets up the scan state and
enqueues the right number of root scan jobs. The GC workers then drain
the root scan jobs prior to draining heap scan jobs.
This parallelizes the root scan process, makes it obey the 25% CPU
goal, and effectively eliminates root scanning as an isolated phase,
allowing the system to smoothly transition from root scanning to heap
marking. This also eliminates a major non-STW responsibility of the GC
coordinator, which will make it easier to switch to a decentralized
state machine. Finally, it puts us in a good position to perform root
scanning in assists as well, which will help satisfy assists at the
beginning of the GC cycle.
This is mostly straightforward. One tricky aspect is that we have to
deal with preemption deadlock: where two non-preemptible gorountines
are trying to preempt each other to perform a stack scan. Given the
context where this happens, the only instance of this is two
background workers trying to scan each other. We avoid this by simply
not scanning the stacks of background workers during the concurrent
phase; this is safe because we'll scan them during mark termination
(and their stacks are *very* small and should not contain any new
pointers).
This change also switches the root marking during mark termination to
use the same gcDrain-based code path as concurrent mark. This
shouldn't affect performance because STW root marking was already
parallel and tasks switched to heap marking immediately when no more
root marking tasks were available. However, it simplifies the code and
unifies these code paths.
This has negligible effect on the go1 benchmarks. It slightly slows
down the garbage benchmark, possibly by making GC run slightly more
frequently.
name old time/op new time/op delta
XBenchGarbage-12 5.10ms ± 1% 5.24ms ± 1% +2.87% (p=0.000 n=18+18)
name old time/op new time/op delta
BinaryTree17-12 3.25s ± 3% 3.20s ± 5% -1.57% (p=0.013 n=20+20)
Fannkuch11-12 2.45s ± 1% 2.46s ± 1% +0.38% (p=0.019 n=20+18)
FmtFprintfEmpty-12 49.7ns ± 3% 49.9ns ± 4% ~ (p=0.851 n=19+20)
FmtFprintfString-12 170ns ± 2% 170ns ± 1% ~ (p=0.775 n=20+19)
FmtFprintfInt-12 161ns ± 1% 160ns ± 1% -0.78% (p=0.000 n=19+18)
FmtFprintfIntInt-12 267ns ± 1% 270ns ± 1% +1.04% (p=0.000 n=19+19)
FmtFprintfPrefixedInt-12 238ns ± 2% 238ns ± 1% ~ (p=0.133 n=18+19)
FmtFprintfFloat-12 311ns ± 1% 310ns ± 2% -0.35% (p=0.023 n=20+19)
FmtManyArgs-12 1.08µs ± 1% 1.06µs ± 1% -2.31% (p=0.000 n=20+20)
GobDecode-12 8.65ms ± 1% 8.63ms ± 1% ~ (p=0.377 n=18+20)
GobEncode-12 6.49ms ± 1% 6.52ms ± 1% +0.37% (p=0.015 n=20+20)
Gzip-12 319ms ± 3% 318ms ± 1% ~ (p=0.975 n=19+17)
Gunzip-12 41.9ms ± 1% 42.1ms ± 2% +0.65% (p=0.004 n=19+20)
HTTPClientServer-12 61.7µs ± 1% 62.6µs ± 1% +1.40% (p=0.000 n=18+20)
JSONEncode-12 16.8ms ± 1% 16.9ms ± 1% ~ (p=0.239 n=20+18)
JSONDecode-12 58.4ms ± 1% 60.7ms ± 1% +3.85% (p=0.000 n=19+20)
Mandelbrot200-12 3.86ms ± 0% 3.86ms ± 1% ~ (p=0.092 n=18+19)
GoParse-12 3.75ms ± 2% 3.75ms ± 2% ~ (p=0.708 n=19+20)
RegexpMatchEasy0_32-12 100ns ± 1% 100ns ± 2% +0.60% (p=0.010 n=17+20)
RegexpMatchEasy0_1K-12 341ns ± 1% 342ns ± 2% ~ (p=0.203 n=20+19)
RegexpMatchEasy1_32-12 82.5ns ± 2% 83.2ns ± 2% +0.83% (p=0.007 n=19+19)
RegexpMatchEasy1_1K-12 495ns ± 1% 495ns ± 2% ~ (p=0.970 n=19+18)
RegexpMatchMedium_32-12 130ns ± 2% 130ns ± 2% +0.59% (p=0.039 n=19+20)
RegexpMatchMedium_1K-12 39.2µs ± 1% 39.3µs ± 1% ~ (p=0.214 n=18+18)
RegexpMatchHard_32-12 2.03µs ± 2% 2.02µs ± 1% ~ (p=0.166 n=18+19)
RegexpMatchHard_1K-12 61.0µs ± 1% 60.9µs ± 1% ~ (p=0.169 n=20+18)
Revcomp-12 533ms ± 1% 535ms ± 1% ~ (p=0.071 n=19+17)
Template-12 68.1ms ± 2% 73.0ms ± 1% +7.26% (p=0.000 n=19+20)
TimeParse-12 355ns ± 2% 356ns ± 2% ~ (p=0.530 n=19+20)
TimeFormat-12 357ns ± 2% 347ns ± 1% -2.59% (p=0.000 n=20+19)
[Geo mean] 62.1µs 62.3µs +0.31%
name old speed new speed delta
GobDecode-12 88.7MB/s ± 1% 88.9MB/s ± 1% ~ (p=0.377 n=18+20)
GobEncode-12 118MB/s ± 1% 118MB/s ± 1% -0.37% (p=0.015 n=20+20)
Gzip-12 60.9MB/s ± 3% 60.9MB/s ± 1% ~ (p=0.944 n=19+17)
Gunzip-12 464MB/s ± 1% 461MB/s ± 2% -0.64% (p=0.004 n=19+20)
JSONEncode-12 115MB/s ± 1% 115MB/s ± 1% ~ (p=0.236 n=20+18)
JSONDecode-12 33.2MB/s ± 1% 32.0MB/s ± 1% -3.71% (p=0.000 n=19+20)
GoParse-12 15.5MB/s ± 2% 15.5MB/s ± 2% ~ (p=0.702 n=19+20)
RegexpMatchEasy0_32-12 320MB/s ± 1% 318MB/s ± 2% ~ (p=0.094 n=18+20)
RegexpMatchEasy0_1K-12 3.00GB/s ± 1% 2.99GB/s ± 1% ~ (p=0.194 n=20+19)
RegexpMatchEasy1_32-12 388MB/s ± 2% 385MB/s ± 2% -0.83% (p=0.008 n=19+19)
RegexpMatchEasy1_1K-12 2.07GB/s ± 1% 2.07GB/s ± 1% ~ (p=0.964 n=19+18)
RegexpMatchMedium_32-12 7.68MB/s ± 1% 7.64MB/s ± 2% -0.57% (p=0.020 n=19+20)
RegexpMatchMedium_1K-12 26.1MB/s ± 1% 26.1MB/s ± 1% ~ (p=0.211 n=18+18)
RegexpMatchHard_32-12 15.8MB/s ± 1% 15.8MB/s ± 1% ~ (p=0.180 n=18+19)
RegexpMatchHard_1K-12 16.8MB/s ± 1% 16.8MB/s ± 2% ~ (p=0.236 n=20+19)
Revcomp-12 477MB/s ± 1% 475MB/s ± 1% ~ (p=0.071 n=19+17)
Template-12 28.5MB/s ± 2% 26.6MB/s ± 1% -6.77% (p=0.000 n=19+20)
[Geo mean] 100MB/s 99.0MB/s -0.82%
Change-Id: I875bf6ceb306d1ee2f470cabf88aa6ede27c47a0
Reviewed-on: https://go-review.googlesource.com/16059
Reviewed-by: Rick Hudson <rlh@golang.org>
Run-TryBot: Austin Clements <austin@google.com>
TryBot-Result: Gobot Gobot <gobot@golang.org>
2015-10-19 11:46:32 -06:00
|
|
|
|
if job >= work.markrootJobs {
|
|
|
|
|
break
|
|
|
|
|
}
|
2015-11-23 16:44:03 -07:00
|
|
|
|
markroot(gcw, job)
|
2016-10-30 18:20:17 -06:00
|
|
|
|
if idle && pollWork() {
|
|
|
|
|
goto done
|
|
|
|
|
}
|
runtime: perform concurrent scan in GC workers
Currently the concurrent root scan is performed in its entirety by the
GC coordinator before entering concurrent mark (which enables GC
workers). This scan is done sequentially, which can prolong the scan
phase, delay the mark phase, and means that the scan phase does not
obey the 25% CPU goal. Furthermore, there's no need to complete the
root scan before starting marking (in fact, we already allow GC
assists to happen during the scan phase), so this acts as an
unnecessary barrier between root scanning and marking.
This change shifts the root scan work out of the GC coordinator and in
to the GC workers. The coordinator simply sets up the scan state and
enqueues the right number of root scan jobs. The GC workers then drain
the root scan jobs prior to draining heap scan jobs.
This parallelizes the root scan process, makes it obey the 25% CPU
goal, and effectively eliminates root scanning as an isolated phase,
allowing the system to smoothly transition from root scanning to heap
marking. This also eliminates a major non-STW responsibility of the GC
coordinator, which will make it easier to switch to a decentralized
state machine. Finally, it puts us in a good position to perform root
scanning in assists as well, which will help satisfy assists at the
beginning of the GC cycle.
This is mostly straightforward. One tricky aspect is that we have to
deal with preemption deadlock: where two non-preemptible gorountines
are trying to preempt each other to perform a stack scan. Given the
context where this happens, the only instance of this is two
background workers trying to scan each other. We avoid this by simply
not scanning the stacks of background workers during the concurrent
phase; this is safe because we'll scan them during mark termination
(and their stacks are *very* small and should not contain any new
pointers).
This change also switches the root marking during mark termination to
use the same gcDrain-based code path as concurrent mark. This
shouldn't affect performance because STW root marking was already
parallel and tasks switched to heap marking immediately when no more
root marking tasks were available. However, it simplifies the code and
unifies these code paths.
This has negligible effect on the go1 benchmarks. It slightly slows
down the garbage benchmark, possibly by making GC run slightly more
frequently.
name old time/op new time/op delta
XBenchGarbage-12 5.10ms ± 1% 5.24ms ± 1% +2.87% (p=0.000 n=18+18)
name old time/op new time/op delta
BinaryTree17-12 3.25s ± 3% 3.20s ± 5% -1.57% (p=0.013 n=20+20)
Fannkuch11-12 2.45s ± 1% 2.46s ± 1% +0.38% (p=0.019 n=20+18)
FmtFprintfEmpty-12 49.7ns ± 3% 49.9ns ± 4% ~ (p=0.851 n=19+20)
FmtFprintfString-12 170ns ± 2% 170ns ± 1% ~ (p=0.775 n=20+19)
FmtFprintfInt-12 161ns ± 1% 160ns ± 1% -0.78% (p=0.000 n=19+18)
FmtFprintfIntInt-12 267ns ± 1% 270ns ± 1% +1.04% (p=0.000 n=19+19)
FmtFprintfPrefixedInt-12 238ns ± 2% 238ns ± 1% ~ (p=0.133 n=18+19)
FmtFprintfFloat-12 311ns ± 1% 310ns ± 2% -0.35% (p=0.023 n=20+19)
FmtManyArgs-12 1.08µs ± 1% 1.06µs ± 1% -2.31% (p=0.000 n=20+20)
GobDecode-12 8.65ms ± 1% 8.63ms ± 1% ~ (p=0.377 n=18+20)
GobEncode-12 6.49ms ± 1% 6.52ms ± 1% +0.37% (p=0.015 n=20+20)
Gzip-12 319ms ± 3% 318ms ± 1% ~ (p=0.975 n=19+17)
Gunzip-12 41.9ms ± 1% 42.1ms ± 2% +0.65% (p=0.004 n=19+20)
HTTPClientServer-12 61.7µs ± 1% 62.6µs ± 1% +1.40% (p=0.000 n=18+20)
JSONEncode-12 16.8ms ± 1% 16.9ms ± 1% ~ (p=0.239 n=20+18)
JSONDecode-12 58.4ms ± 1% 60.7ms ± 1% +3.85% (p=0.000 n=19+20)
Mandelbrot200-12 3.86ms ± 0% 3.86ms ± 1% ~ (p=0.092 n=18+19)
GoParse-12 3.75ms ± 2% 3.75ms ± 2% ~ (p=0.708 n=19+20)
RegexpMatchEasy0_32-12 100ns ± 1% 100ns ± 2% +0.60% (p=0.010 n=17+20)
RegexpMatchEasy0_1K-12 341ns ± 1% 342ns ± 2% ~ (p=0.203 n=20+19)
RegexpMatchEasy1_32-12 82.5ns ± 2% 83.2ns ± 2% +0.83% (p=0.007 n=19+19)
RegexpMatchEasy1_1K-12 495ns ± 1% 495ns ± 2% ~ (p=0.970 n=19+18)
RegexpMatchMedium_32-12 130ns ± 2% 130ns ± 2% +0.59% (p=0.039 n=19+20)
RegexpMatchMedium_1K-12 39.2µs ± 1% 39.3µs ± 1% ~ (p=0.214 n=18+18)
RegexpMatchHard_32-12 2.03µs ± 2% 2.02µs ± 1% ~ (p=0.166 n=18+19)
RegexpMatchHard_1K-12 61.0µs ± 1% 60.9µs ± 1% ~ (p=0.169 n=20+18)
Revcomp-12 533ms ± 1% 535ms ± 1% ~ (p=0.071 n=19+17)
Template-12 68.1ms ± 2% 73.0ms ± 1% +7.26% (p=0.000 n=19+20)
TimeParse-12 355ns ± 2% 356ns ± 2% ~ (p=0.530 n=19+20)
TimeFormat-12 357ns ± 2% 347ns ± 1% -2.59% (p=0.000 n=20+19)
[Geo mean] 62.1µs 62.3µs +0.31%
name old speed new speed delta
GobDecode-12 88.7MB/s ± 1% 88.9MB/s ± 1% ~ (p=0.377 n=18+20)
GobEncode-12 118MB/s ± 1% 118MB/s ± 1% -0.37% (p=0.015 n=20+20)
Gzip-12 60.9MB/s ± 3% 60.9MB/s ± 1% ~ (p=0.944 n=19+17)
Gunzip-12 464MB/s ± 1% 461MB/s ± 2% -0.64% (p=0.004 n=19+20)
JSONEncode-12 115MB/s ± 1% 115MB/s ± 1% ~ (p=0.236 n=20+18)
JSONDecode-12 33.2MB/s ± 1% 32.0MB/s ± 1% -3.71% (p=0.000 n=19+20)
GoParse-12 15.5MB/s ± 2% 15.5MB/s ± 2% ~ (p=0.702 n=19+20)
RegexpMatchEasy0_32-12 320MB/s ± 1% 318MB/s ± 2% ~ (p=0.094 n=18+20)
RegexpMatchEasy0_1K-12 3.00GB/s ± 1% 2.99GB/s ± 1% ~ (p=0.194 n=20+19)
RegexpMatchEasy1_32-12 388MB/s ± 2% 385MB/s ± 2% -0.83% (p=0.008 n=19+19)
RegexpMatchEasy1_1K-12 2.07GB/s ± 1% 2.07GB/s ± 1% ~ (p=0.964 n=19+18)
RegexpMatchMedium_32-12 7.68MB/s ± 1% 7.64MB/s ± 2% -0.57% (p=0.020 n=19+20)
RegexpMatchMedium_1K-12 26.1MB/s ± 1% 26.1MB/s ± 1% ~ (p=0.211 n=18+18)
RegexpMatchHard_32-12 15.8MB/s ± 1% 15.8MB/s ± 1% ~ (p=0.180 n=18+19)
RegexpMatchHard_1K-12 16.8MB/s ± 1% 16.8MB/s ± 2% ~ (p=0.236 n=20+19)
Revcomp-12 477MB/s ± 1% 475MB/s ± 1% ~ (p=0.071 n=19+17)
Template-12 28.5MB/s ± 2% 26.6MB/s ± 1% -6.77% (p=0.000 n=19+20)
[Geo mean] 100MB/s 99.0MB/s -0.82%
Change-Id: I875bf6ceb306d1ee2f470cabf88aa6ede27c47a0
Reviewed-on: https://go-review.googlesource.com/16059
Reviewed-by: Rick Hudson <rlh@golang.org>
Run-TryBot: Austin Clements <austin@google.com>
TryBot-Result: Gobot Gobot <gobot@golang.org>
2015-10-19 11:46:32 -06:00
|
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
// Drain heap marking jobs.
|
2016-01-06 15:07:58 -07:00
|
|
|
|
for !(preemptible && gp.preempt) {
|
|
|
|
|
// Try to keep work available on the global queue. We used to
|
|
|
|
|
// check if there were waiting workers, but it's better to
|
|
|
|
|
// just keep work available than to make workers wait. In the
|
|
|
|
|
// worst case, we'll do O(log(_WorkbufSize)) unnecessary
|
|
|
|
|
// balances.
|
|
|
|
|
if work.full == 0 {
|
2015-02-19 11:38:46 -07:00
|
|
|
|
gcw.balance()
|
|
|
|
|
}
|
|
|
|
|
|
2015-10-04 20:42:43 -06:00
|
|
|
|
var b uintptr
|
|
|
|
|
if blocking {
|
|
|
|
|
b = gcw.get()
|
|
|
|
|
} else {
|
2016-03-14 10:17:48 -06:00
|
|
|
|
b = gcw.tryGetFast()
|
|
|
|
|
if b == 0 {
|
|
|
|
|
b = gcw.tryGet()
|
|
|
|
|
}
|
2015-10-04 20:42:43 -06:00
|
|
|
|
}
|
2015-02-19 11:38:46 -07:00
|
|
|
|
if b == 0 {
|
2015-10-04 20:42:43 -06:00
|
|
|
|
// work barrier reached or tryGet failed.
|
2015-02-19 11:38:46 -07:00
|
|
|
|
break
|
|
|
|
|
}
|
cmd/internal/gc, runtime: use 1-bit bitmap for stack frames, data, bss
The bitmaps were 2 bits per pointer because we needed to distinguish
scalar, pointer, multiword, and we used the leftover value to distinguish
uninitialized from scalar, even though the garbage collector (GC) didn't care.
Now that there are no multiword structures from the GC's point of view,
cut the bitmaps down to 1 bit per pointer, recording just live pointer vs not.
The GC assumes the same layout for stack frames and for the maps
describing the global data and bss sections, so change them all in one CL.
The code still refers to 4-bit heap bitmaps and 2-bit "type bitmaps", since
the 2-bit representation lives (at least for now) in some of the reflect data.
Because these stack frame bitmaps are stored directly in the rodata in
the binary, this CL reduces the size of the 6g binary by about 1.1%.
Performance change is basically a wash, but using less memory,
and smaller binaries, and enables other bitmap reductions.
name old mean new mean delta
BenchmarkBinaryTree17 13.2s × (0.97,1.03) 13.0s × (0.99,1.01) -0.93% (p=0.005)
BenchmarkBinaryTree17-2 9.69s × (0.96,1.05) 9.51s × (0.96,1.03) -1.86% (p=0.001)
BenchmarkBinaryTree17-4 10.1s × (0.97,1.05) 10.0s × (0.96,1.05) ~ (p=0.141)
BenchmarkFannkuch11 4.35s × (0.99,1.01) 4.43s × (0.98,1.04) +1.75% (p=0.001)
BenchmarkFannkuch11-2 4.31s × (0.99,1.03) 4.32s × (1.00,1.00) ~ (p=0.095)
BenchmarkFannkuch11-4 4.32s × (0.99,1.02) 4.38s × (0.98,1.04) +1.38% (p=0.008)
BenchmarkFmtFprintfEmpty 83.5ns × (0.97,1.10) 87.3ns × (0.92,1.11) +4.55% (p=0.014)
BenchmarkFmtFprintfEmpty-2 81.8ns × (0.98,1.04) 82.5ns × (0.97,1.08) ~ (p=0.364)
BenchmarkFmtFprintfEmpty-4 80.9ns × (0.99,1.01) 82.6ns × (0.97,1.08) +2.12% (p=0.010)
BenchmarkFmtFprintfString 320ns × (0.95,1.04) 322ns × (0.97,1.05) ~ (p=0.368)
BenchmarkFmtFprintfString-2 303ns × (0.97,1.04) 304ns × (0.97,1.04) ~ (p=0.484)
BenchmarkFmtFprintfString-4 305ns × (0.97,1.05) 306ns × (0.98,1.05) ~ (p=0.543)
BenchmarkFmtFprintfInt 311ns × (0.98,1.03) 319ns × (0.97,1.03) +2.63% (p=0.000)
BenchmarkFmtFprintfInt-2 297ns × (0.98,1.04) 301ns × (0.97,1.04) +1.19% (p=0.023)
BenchmarkFmtFprintfInt-4 302ns × (0.98,1.02) 304ns × (0.97,1.03) ~ (p=0.126)
BenchmarkFmtFprintfIntInt 554ns × (0.96,1.05) 554ns × (0.97,1.03) ~ (p=0.975)
BenchmarkFmtFprintfIntInt-2 520ns × (0.98,1.03) 517ns × (0.98,1.02) ~ (p=0.153)
BenchmarkFmtFprintfIntInt-4 524ns × (0.98,1.02) 525ns × (0.98,1.03) ~ (p=0.597)
BenchmarkFmtFprintfPrefixedInt 433ns × (0.97,1.06) 434ns × (0.97,1.06) ~ (p=0.804)
BenchmarkFmtFprintfPrefixedInt-2 413ns × (0.98,1.04) 413ns × (0.98,1.03) ~ (p=0.881)
BenchmarkFmtFprintfPrefixedInt-4 420ns × (0.97,1.03) 421ns × (0.97,1.03) ~ (p=0.561)
BenchmarkFmtFprintfFloat 620ns × (0.99,1.03) 636ns × (0.97,1.03) +2.57% (p=0.000)
BenchmarkFmtFprintfFloat-2 601ns × (0.98,1.02) 617ns × (0.98,1.03) +2.58% (p=0.000)
BenchmarkFmtFprintfFloat-4 613ns × (0.98,1.03) 626ns × (0.98,1.02) +2.15% (p=0.000)
BenchmarkFmtManyArgs 2.19µs × (0.96,1.04) 2.23µs × (0.97,1.02) +1.65% (p=0.000)
BenchmarkFmtManyArgs-2 2.08µs × (0.98,1.03) 2.10µs × (0.99,1.02) +0.79% (p=0.019)
BenchmarkFmtManyArgs-4 2.10µs × (0.98,1.02) 2.13µs × (0.98,1.02) +1.72% (p=0.000)
BenchmarkGobDecode 21.3ms × (0.97,1.05) 21.1ms × (0.97,1.04) -1.36% (p=0.025)
BenchmarkGobDecode-2 20.0ms × (0.97,1.03) 19.2ms × (0.97,1.03) -4.00% (p=0.000)
BenchmarkGobDecode-4 19.5ms × (0.99,1.02) 19.0ms × (0.99,1.01) -2.39% (p=0.000)
BenchmarkGobEncode 18.3ms × (0.95,1.07) 18.1ms × (0.96,1.08) ~ (p=0.305)
BenchmarkGobEncode-2 16.8ms × (0.97,1.02) 16.4ms × (0.98,1.02) -2.79% (p=0.000)
BenchmarkGobEncode-4 15.4ms × (0.98,1.02) 15.4ms × (0.98,1.02) ~ (p=0.465)
BenchmarkGzip 650ms × (0.98,1.03) 655ms × (0.97,1.04) ~ (p=0.075)
BenchmarkGzip-2 652ms × (0.98,1.03) 655ms × (0.98,1.02) ~ (p=0.337)
BenchmarkGzip-4 656ms × (0.98,1.04) 653ms × (0.98,1.03) ~ (p=0.291)
BenchmarkGunzip 143ms × (1.00,1.01) 143ms × (1.00,1.01) ~ (p=0.507)
BenchmarkGunzip-2 143ms × (1.00,1.01) 143ms × (1.00,1.01) ~ (p=0.313)
BenchmarkGunzip-4 143ms × (1.00,1.01) 143ms × (1.00,1.01) ~ (p=0.312)
BenchmarkHTTPClientServer 110µs × (0.98,1.03) 109µs × (0.99,1.02) -1.40% (p=0.000)
BenchmarkHTTPClientServer-2 154µs × (0.90,1.08) 149µs × (0.90,1.08) -3.43% (p=0.007)
BenchmarkHTTPClientServer-4 138µs × (0.97,1.04) 138µs × (0.96,1.04) ~ (p=0.670)
BenchmarkJSONEncode 40.2ms × (0.98,1.02) 40.2ms × (0.98,1.05) ~ (p=0.828)
BenchmarkJSONEncode-2 35.1ms × (0.99,1.02) 35.2ms × (0.98,1.03) ~ (p=0.392)
BenchmarkJSONEncode-4 35.3ms × (0.98,1.03) 35.3ms × (0.98,1.02) ~ (p=0.813)
BenchmarkJSONDecode 119ms × (0.97,1.02) 117ms × (0.98,1.02) -1.80% (p=0.000)
BenchmarkJSONDecode-2 115ms × (0.99,1.02) 114ms × (0.98,1.02) -1.18% (p=0.000)
BenchmarkJSONDecode-4 116ms × (0.98,1.02) 114ms × (0.98,1.02) -1.43% (p=0.000)
BenchmarkMandelbrot200 6.03ms × (1.00,1.01) 6.03ms × (1.00,1.01) ~ (p=0.985)
BenchmarkMandelbrot200-2 6.03ms × (1.00,1.01) 6.02ms × (1.00,1.01) ~ (p=0.320)
BenchmarkMandelbrot200-4 6.03ms × (1.00,1.01) 6.03ms × (1.00,1.01) ~ (p=0.799)
BenchmarkGoParse 8.63ms × (0.89,1.10) 8.58ms × (0.93,1.09) ~ (p=0.667)
BenchmarkGoParse-2 8.20ms × (0.97,1.04) 8.37ms × (0.97,1.04) +1.96% (p=0.001)
BenchmarkGoParse-4 8.00ms × (0.98,1.02) 8.14ms × (0.99,1.02) +1.75% (p=0.000)
BenchmarkRegexpMatchEasy0_32 162ns × (1.00,1.01) 164ns × (0.98,1.04) +1.35% (p=0.011)
BenchmarkRegexpMatchEasy0_32-2 161ns × (1.00,1.01) 161ns × (1.00,1.00) ~ (p=0.185)
BenchmarkRegexpMatchEasy0_32-4 161ns × (1.00,1.00) 161ns × (1.00,1.00) -0.19% (p=0.001)
BenchmarkRegexpMatchEasy0_1K 540ns × (0.99,1.02) 566ns × (0.98,1.04) +4.98% (p=0.000)
BenchmarkRegexpMatchEasy0_1K-2 540ns × (0.99,1.01) 557ns × (0.99,1.01) +3.21% (p=0.000)
BenchmarkRegexpMatchEasy0_1K-4 541ns × (0.99,1.01) 559ns × (0.99,1.01) +3.26% (p=0.000)
BenchmarkRegexpMatchEasy1_32 139ns × (0.98,1.04) 139ns × (0.99,1.03) ~ (p=0.979)
BenchmarkRegexpMatchEasy1_32-2 139ns × (0.99,1.04) 139ns × (0.99,1.02) ~ (p=0.777)
BenchmarkRegexpMatchEasy1_32-4 139ns × (0.98,1.04) 139ns × (0.99,1.04) ~ (p=0.771)
BenchmarkRegexpMatchEasy1_1K 890ns × (0.99,1.03) 885ns × (1.00,1.01) -0.50% (p=0.004)
BenchmarkRegexpMatchEasy1_1K-2 888ns × (0.99,1.01) 885ns × (0.99,1.01) -0.37% (p=0.004)
BenchmarkRegexpMatchEasy1_1K-4 890ns × (0.99,1.02) 884ns × (1.00,1.00) -0.70% (p=0.000)
BenchmarkRegexpMatchMedium_32 252ns × (0.99,1.01) 251ns × (0.99,1.01) ~ (p=0.081)
BenchmarkRegexpMatchMedium_32-2 254ns × (0.99,1.04) 252ns × (0.99,1.01) -0.78% (p=0.027)
BenchmarkRegexpMatchMedium_32-4 253ns × (0.99,1.04) 252ns × (0.99,1.01) -0.70% (p=0.022)
BenchmarkRegexpMatchMedium_1K 72.9µs × (0.99,1.01) 72.7µs × (1.00,1.00) ~ (p=0.064)
BenchmarkRegexpMatchMedium_1K-2 74.1µs × (0.98,1.05) 72.9µs × (1.00,1.01) -1.61% (p=0.001)
BenchmarkRegexpMatchMedium_1K-4 73.6µs × (0.99,1.05) 72.8µs × (1.00,1.00) -1.13% (p=0.007)
BenchmarkRegexpMatchHard_32 3.88µs × (0.99,1.03) 3.92µs × (0.98,1.05) ~ (p=0.143)
BenchmarkRegexpMatchHard_32-2 3.89µs × (0.99,1.03) 3.93µs × (0.98,1.09) ~ (p=0.278)
BenchmarkRegexpMatchHard_32-4 3.90µs × (0.99,1.05) 3.93µs × (0.98,1.05) ~ (p=0.252)
BenchmarkRegexpMatchHard_1K 118µs × (0.99,1.01) 117µs × (0.99,1.02) -0.54% (p=0.003)
BenchmarkRegexpMatchHard_1K-2 118µs × (0.99,1.01) 118µs × (0.99,1.03) ~ (p=0.581)
BenchmarkRegexpMatchHard_1K-4 118µs × (0.99,1.02) 117µs × (0.99,1.01) -0.54% (p=0.002)
BenchmarkRevcomp 991ms × (0.95,1.10) 989ms × (0.94,1.08) ~ (p=0.879)
BenchmarkRevcomp-2 978ms × (0.95,1.11) 962ms × (0.96,1.08) ~ (p=0.257)
BenchmarkRevcomp-4 979ms × (0.96,1.07) 974ms × (0.96,1.11) ~ (p=0.678)
BenchmarkTemplate 141ms × (0.99,1.02) 145ms × (0.99,1.02) +2.75% (p=0.000)
BenchmarkTemplate-2 135ms × (0.98,1.02) 138ms × (0.99,1.02) +2.34% (p=0.000)
BenchmarkTemplate-4 136ms × (0.98,1.02) 140ms × (0.99,1.02) +2.71% (p=0.000)
BenchmarkTimeParse 640ns × (0.99,1.01) 622ns × (0.99,1.01) -2.88% (p=0.000)
BenchmarkTimeParse-2 640ns × (0.99,1.01) 622ns × (1.00,1.00) -2.81% (p=0.000)
BenchmarkTimeParse-4 640ns × (1.00,1.01) 622ns × (0.99,1.01) -2.82% (p=0.000)
BenchmarkTimeFormat 730ns × (0.98,1.02) 731ns × (0.98,1.03) ~ (p=0.767)
BenchmarkTimeFormat-2 709ns × (0.99,1.02) 707ns × (0.99,1.02) ~ (p=0.347)
BenchmarkTimeFormat-4 717ns × (0.98,1.01) 718ns × (0.98,1.02) ~ (p=0.793)
Change-Id: Ie779c47e912bf80eb918bafa13638bd8dfd6c2d9
Reviewed-on: https://go-review.googlesource.com/9406
Reviewed-by: Rick Hudson <rlh@golang.org>
2015-04-27 20:45:57 -06:00
|
|
|
|
scanobject(b, gcw)
|
2015-03-13 11:29:23 -06:00
|
|
|
|
|
|
|
|
|
// Flush background scan work credit to the global
|
|
|
|
|
// account if we've accumulated enough locally so
|
|
|
|
|
// mutator assists can draw on it.
|
2015-10-04 21:00:01 -06:00
|
|
|
|
if gcw.scanWork >= gcCreditSlack {
|
2015-11-02 12:09:24 -07:00
|
|
|
|
atomic.Xaddint64(&gcController.scanWork, gcw.scanWork)
|
2015-10-04 21:00:01 -06:00
|
|
|
|
if flushBgCredit {
|
2015-10-14 19:31:33 -06:00
|
|
|
|
gcFlushBgCredit(gcw.scanWork - initScanWork)
|
2015-10-04 21:00:01 -06:00
|
|
|
|
initScanWork = 0
|
|
|
|
|
}
|
2016-10-30 18:20:17 -06:00
|
|
|
|
idleCheck -= gcw.scanWork
|
2015-10-04 21:00:01 -06:00
|
|
|
|
gcw.scanWork = 0
|
2016-10-30 18:20:17 -06:00
|
|
|
|
|
|
|
|
|
if idle && idleCheck <= 0 {
|
|
|
|
|
idleCheck += idleCheckThreshold
|
|
|
|
|
if pollWork() {
|
|
|
|
|
break
|
|
|
|
|
}
|
|
|
|
|
}
|
2015-03-13 11:29:23 -06:00
|
|
|
|
}
|
|
|
|
|
}
|
2015-10-04 21:00:01 -06:00
|
|
|
|
|
2015-11-19 09:25:55 -07:00
|
|
|
|
// In blocking mode, write barriers are not allowed after this
|
|
|
|
|
// point because we must preserve the condition that the work
|
|
|
|
|
// buffers are empty.
|
|
|
|
|
|
2016-10-30 18:20:17 -06:00
|
|
|
|
done:
|
2015-10-04 21:00:01 -06:00
|
|
|
|
// Flush remaining scan work credit.
|
|
|
|
|
if gcw.scanWork > 0 {
|
2015-11-02 12:09:24 -07:00
|
|
|
|
atomic.Xaddint64(&gcController.scanWork, gcw.scanWork)
|
2015-10-04 21:00:01 -06:00
|
|
|
|
if flushBgCredit {
|
2015-10-14 19:31:33 -06:00
|
|
|
|
gcFlushBgCredit(gcw.scanWork - initScanWork)
|
2015-10-04 21:00:01 -06:00
|
|
|
|
}
|
|
|
|
|
gcw.scanWork = 0
|
runtime: multi-threaded, utilization-scheduled background mark
Currently, the concurrent mark phase is performed by the main GC
goroutine. Prior to the previous commit enabling preemption, this
caused marking to always consume 1/GOMAXPROCS of the available CPU
time. If GOMAXPROCS=1, this meant background GC would consume 100% of
the CPU (effectively a STW). If GOMAXPROCS>4, background GC would use
less than the goal of 25%. If GOMAXPROCS=4, background GC would use
the goal 25%, but if the mutator wasn't using the remaining 75%,
background marking wouldn't take advantage of the idle time. Enabling
preemption in the previous commit made GC miss CPU targets in
completely different ways, but set us up to bring everything back in
line.
This change replaces the fixed GC goroutine with per-P background mark
goroutines. Once started, these goroutines don't go in the standard
run queues; instead, they are scheduled specially such that the time
spent in mutator assists and the background mark goroutines totals 25%
of the CPU time available to the program. Furthermore, this lets
background marking take advantage of idle Ps, which significantly
boosts GC performance for applications that under-utilize the CPU.
This requires also changing how time is reported for gctrace, so this
change splits the concurrent mark CPU time into assist/background/idle
scanning.
This also requires increasing the size of the StackRecord slice used
in a GoroutineProfile test.
Change-Id: I0936ff907d2cee6cb687a208f2df47e8988e3157
Reviewed-on: https://go-review.googlesource.com/8850
Reviewed-by: Rick Hudson <rlh@golang.org>
2015-03-23 19:07:33 -06:00
|
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
|
2015-03-13 12:01:16 -06:00
|
|
|
|
// gcDrainN blackens grey objects until it has performed roughly
|
2015-10-15 15:58:17 -06:00
|
|
|
|
// scanWork units of scan work or the G is preempted. This is
|
|
|
|
|
// best-effort, so it may perform less work if it fails to get a work
|
|
|
|
|
// buffer. Otherwise, it will perform at least n units of work, but
|
|
|
|
|
// may perform more because scanning is always done in whole object
|
|
|
|
|
// increments. It returns the amount of scan work performed.
|
runtime: make assists perform root jobs
Currently, assists can only perform heap marking jobs. However, at the
beginning of GC, there are only root jobs and no heap marking jobs. As
a result, there's often a period at the beginning of a GC cycle where
no goroutine has accumulated assist credit, but at the same time it
can't get any credit because there are no heap marking jobs for it to
do yet. As a result, many goroutines often block on the assist queue
at the very beginning of the GC cycle.
This commit fixes this by allowing assists to perform root marking
jobs. The tricky part of this (and the reason we haven't done this
before) is that stack scanning jobs can lead to deadlocks if the
goroutines performing the stack scanning are themselves
non-preemptible, since two non-preemptible goroutines may try to scan
each other. To address this, we use the same insight d6625ca used to
simplify the mark worker stack scanning: as long as we're careful with
the stacks and only drain jobs while on the system stack, we can put
the goroutine into a preemptible state while we drain jobs. This means
an assist's user stack can be scanned while it continues to do work.
This reduces the rate of assist blocking in the x/benchmarks HTTP
benchmark by a factor of 3 and all remaining blocking happens towards
the *end* of the GC cycle, when there may genuinely not be enough work
to go around.
Ideally, assists would get credit for working on root jobs. Currently
they do not; however, this change prioritizes heap work over root jobs
in assists, so they're likely to mostly perform heap work. In contrast
with mark workers, for assists, the root jobs act only as a backstop
to create heap work when there isn't enough heap work.
Fixes #15361.
Change-Id: If6e169863e4ad75710b0c8dc00f6125b41e9a595
Reviewed-on: https://go-review.googlesource.com/32432
Reviewed-by: Rick Hudson <rlh@golang.org>
2016-10-30 15:59:06 -06:00
|
|
|
|
//
|
|
|
|
|
// The caller goroutine must be in a preemptible state (e.g.,
|
|
|
|
|
// _Gwaiting) to prevent deadlocks during stack scanning. As a
|
|
|
|
|
// consequence, this must be called on the system stack.
|
|
|
|
|
//
|
2015-02-19 11:38:46 -07:00
|
|
|
|
//go:nowritebarrier
|
runtime: make assists perform root jobs
Currently, assists can only perform heap marking jobs. However, at the
beginning of GC, there are only root jobs and no heap marking jobs. As
a result, there's often a period at the beginning of a GC cycle where
no goroutine has accumulated assist credit, but at the same time it
can't get any credit because there are no heap marking jobs for it to
do yet. As a result, many goroutines often block on the assist queue
at the very beginning of the GC cycle.
This commit fixes this by allowing assists to perform root marking
jobs. The tricky part of this (and the reason we haven't done this
before) is that stack scanning jobs can lead to deadlocks if the
goroutines performing the stack scanning are themselves
non-preemptible, since two non-preemptible goroutines may try to scan
each other. To address this, we use the same insight d6625ca used to
simplify the mark worker stack scanning: as long as we're careful with
the stacks and only drain jobs while on the system stack, we can put
the goroutine into a preemptible state while we drain jobs. This means
an assist's user stack can be scanned while it continues to do work.
This reduces the rate of assist blocking in the x/benchmarks HTTP
benchmark by a factor of 3 and all remaining blocking happens towards
the *end* of the GC cycle, when there may genuinely not be enough work
to go around.
Ideally, assists would get credit for working on root jobs. Currently
they do not; however, this change prioritizes heap work over root jobs
in assists, so they're likely to mostly perform heap work. In contrast
with mark workers, for assists, the root jobs act only as a backstop
to create heap work when there isn't enough heap work.
Fixes #15361.
Change-Id: If6e169863e4ad75710b0c8dc00f6125b41e9a595
Reviewed-on: https://go-review.googlesource.com/32432
Reviewed-by: Rick Hudson <rlh@golang.org>
2016-10-30 15:59:06 -06:00
|
|
|
|
//go:systemstack
|
2015-10-04 21:00:01 -06:00
|
|
|
|
func gcDrainN(gcw *gcWork, scanWork int64) int64 {
|
2015-11-13 18:45:22 -07:00
|
|
|
|
if !writeBarrier.needed {
|
2015-07-24 10:33:23 -06:00
|
|
|
|
throw("gcDrainN phase incorrect")
|
|
|
|
|
}
|
2015-10-04 21:00:01 -06:00
|
|
|
|
|
|
|
|
|
// There may already be scan work on the gcw, which we don't
|
|
|
|
|
// want to claim was done by this call.
|
|
|
|
|
workFlushed := -gcw.scanWork
|
|
|
|
|
|
2015-10-15 15:58:17 -06:00
|
|
|
|
gp := getg().m.curg
|
|
|
|
|
for !gp.preempt && workFlushed+gcw.scanWork < scanWork {
|
2016-01-06 15:07:58 -07:00
|
|
|
|
// See gcDrain comment.
|
|
|
|
|
if work.full == 0 {
|
|
|
|
|
gcw.balance()
|
|
|
|
|
}
|
|
|
|
|
|
2015-02-19 11:38:46 -07:00
|
|
|
|
// This might be a good place to add prefetch code...
|
|
|
|
|
// if(wbuf.nobj > 4) {
|
|
|
|
|
// PREFETCH(wbuf->obj[wbuf.nobj - 3];
|
|
|
|
|
// }
|
2016-01-06 15:07:58 -07:00
|
|
|
|
//
|
2016-03-14 10:17:48 -06:00
|
|
|
|
b := gcw.tryGetFast()
|
|
|
|
|
if b == 0 {
|
|
|
|
|
b = gcw.tryGet()
|
|
|
|
|
}
|
|
|
|
|
|
2015-02-19 11:38:46 -07:00
|
|
|
|
if b == 0 {
|
runtime: make assists perform root jobs
Currently, assists can only perform heap marking jobs. However, at the
beginning of GC, there are only root jobs and no heap marking jobs. As
a result, there's often a period at the beginning of a GC cycle where
no goroutine has accumulated assist credit, but at the same time it
can't get any credit because there are no heap marking jobs for it to
do yet. As a result, many goroutines often block on the assist queue
at the very beginning of the GC cycle.
This commit fixes this by allowing assists to perform root marking
jobs. The tricky part of this (and the reason we haven't done this
before) is that stack scanning jobs can lead to deadlocks if the
goroutines performing the stack scanning are themselves
non-preemptible, since two non-preemptible goroutines may try to scan
each other. To address this, we use the same insight d6625ca used to
simplify the mark worker stack scanning: as long as we're careful with
the stacks and only drain jobs while on the system stack, we can put
the goroutine into a preemptible state while we drain jobs. This means
an assist's user stack can be scanned while it continues to do work.
This reduces the rate of assist blocking in the x/benchmarks HTTP
benchmark by a factor of 3 and all remaining blocking happens towards
the *end* of the GC cycle, when there may genuinely not be enough work
to go around.
Ideally, assists would get credit for working on root jobs. Currently
they do not; however, this change prioritizes heap work over root jobs
in assists, so they're likely to mostly perform heap work. In contrast
with mark workers, for assists, the root jobs act only as a backstop
to create heap work when there isn't enough heap work.
Fixes #15361.
Change-Id: If6e169863e4ad75710b0c8dc00f6125b41e9a595
Reviewed-on: https://go-review.googlesource.com/32432
Reviewed-by: Rick Hudson <rlh@golang.org>
2016-10-30 15:59:06 -06:00
|
|
|
|
// Try to do a root job.
|
|
|
|
|
//
|
|
|
|
|
// TODO: Assists should get credit for this
|
|
|
|
|
// work.
|
|
|
|
|
if work.markrootNext < work.markrootJobs {
|
|
|
|
|
job := atomic.Xadd(&work.markrootNext, +1) - 1
|
|
|
|
|
if job < work.markrootJobs {
|
|
|
|
|
markroot(gcw, job)
|
|
|
|
|
continue
|
|
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
// No heap or root jobs.
|
2015-10-04 21:00:01 -06:00
|
|
|
|
break
|
2015-02-19 11:38:46 -07:00
|
|
|
|
}
|
cmd/internal/gc, runtime: use 1-bit bitmap for stack frames, data, bss
The bitmaps were 2 bits per pointer because we needed to distinguish
scalar, pointer, multiword, and we used the leftover value to distinguish
uninitialized from scalar, even though the garbage collector (GC) didn't care.
Now that there are no multiword structures from the GC's point of view,
cut the bitmaps down to 1 bit per pointer, recording just live pointer vs not.
The GC assumes the same layout for stack frames and for the maps
describing the global data and bss sections, so change them all in one CL.
The code still refers to 4-bit heap bitmaps and 2-bit "type bitmaps", since
the 2-bit representation lives (at least for now) in some of the reflect data.
Because these stack frame bitmaps are stored directly in the rodata in
the binary, this CL reduces the size of the 6g binary by about 1.1%.
Performance change is basically a wash, but using less memory,
and smaller binaries, and enables other bitmap reductions.
name old mean new mean delta
BenchmarkBinaryTree17 13.2s × (0.97,1.03) 13.0s × (0.99,1.01) -0.93% (p=0.005)
BenchmarkBinaryTree17-2 9.69s × (0.96,1.05) 9.51s × (0.96,1.03) -1.86% (p=0.001)
BenchmarkBinaryTree17-4 10.1s × (0.97,1.05) 10.0s × (0.96,1.05) ~ (p=0.141)
BenchmarkFannkuch11 4.35s × (0.99,1.01) 4.43s × (0.98,1.04) +1.75% (p=0.001)
BenchmarkFannkuch11-2 4.31s × (0.99,1.03) 4.32s × (1.00,1.00) ~ (p=0.095)
BenchmarkFannkuch11-4 4.32s × (0.99,1.02) 4.38s × (0.98,1.04) +1.38% (p=0.008)
BenchmarkFmtFprintfEmpty 83.5ns × (0.97,1.10) 87.3ns × (0.92,1.11) +4.55% (p=0.014)
BenchmarkFmtFprintfEmpty-2 81.8ns × (0.98,1.04) 82.5ns × (0.97,1.08) ~ (p=0.364)
BenchmarkFmtFprintfEmpty-4 80.9ns × (0.99,1.01) 82.6ns × (0.97,1.08) +2.12% (p=0.010)
BenchmarkFmtFprintfString 320ns × (0.95,1.04) 322ns × (0.97,1.05) ~ (p=0.368)
BenchmarkFmtFprintfString-2 303ns × (0.97,1.04) 304ns × (0.97,1.04) ~ (p=0.484)
BenchmarkFmtFprintfString-4 305ns × (0.97,1.05) 306ns × (0.98,1.05) ~ (p=0.543)
BenchmarkFmtFprintfInt 311ns × (0.98,1.03) 319ns × (0.97,1.03) +2.63% (p=0.000)
BenchmarkFmtFprintfInt-2 297ns × (0.98,1.04) 301ns × (0.97,1.04) +1.19% (p=0.023)
BenchmarkFmtFprintfInt-4 302ns × (0.98,1.02) 304ns × (0.97,1.03) ~ (p=0.126)
BenchmarkFmtFprintfIntInt 554ns × (0.96,1.05) 554ns × (0.97,1.03) ~ (p=0.975)
BenchmarkFmtFprintfIntInt-2 520ns × (0.98,1.03) 517ns × (0.98,1.02) ~ (p=0.153)
BenchmarkFmtFprintfIntInt-4 524ns × (0.98,1.02) 525ns × (0.98,1.03) ~ (p=0.597)
BenchmarkFmtFprintfPrefixedInt 433ns × (0.97,1.06) 434ns × (0.97,1.06) ~ (p=0.804)
BenchmarkFmtFprintfPrefixedInt-2 413ns × (0.98,1.04) 413ns × (0.98,1.03) ~ (p=0.881)
BenchmarkFmtFprintfPrefixedInt-4 420ns × (0.97,1.03) 421ns × (0.97,1.03) ~ (p=0.561)
BenchmarkFmtFprintfFloat 620ns × (0.99,1.03) 636ns × (0.97,1.03) +2.57% (p=0.000)
BenchmarkFmtFprintfFloat-2 601ns × (0.98,1.02) 617ns × (0.98,1.03) +2.58% (p=0.000)
BenchmarkFmtFprintfFloat-4 613ns × (0.98,1.03) 626ns × (0.98,1.02) +2.15% (p=0.000)
BenchmarkFmtManyArgs 2.19µs × (0.96,1.04) 2.23µs × (0.97,1.02) +1.65% (p=0.000)
BenchmarkFmtManyArgs-2 2.08µs × (0.98,1.03) 2.10µs × (0.99,1.02) +0.79% (p=0.019)
BenchmarkFmtManyArgs-4 2.10µs × (0.98,1.02) 2.13µs × (0.98,1.02) +1.72% (p=0.000)
BenchmarkGobDecode 21.3ms × (0.97,1.05) 21.1ms × (0.97,1.04) -1.36% (p=0.025)
BenchmarkGobDecode-2 20.0ms × (0.97,1.03) 19.2ms × (0.97,1.03) -4.00% (p=0.000)
BenchmarkGobDecode-4 19.5ms × (0.99,1.02) 19.0ms × (0.99,1.01) -2.39% (p=0.000)
BenchmarkGobEncode 18.3ms × (0.95,1.07) 18.1ms × (0.96,1.08) ~ (p=0.305)
BenchmarkGobEncode-2 16.8ms × (0.97,1.02) 16.4ms × (0.98,1.02) -2.79% (p=0.000)
BenchmarkGobEncode-4 15.4ms × (0.98,1.02) 15.4ms × (0.98,1.02) ~ (p=0.465)
BenchmarkGzip 650ms × (0.98,1.03) 655ms × (0.97,1.04) ~ (p=0.075)
BenchmarkGzip-2 652ms × (0.98,1.03) 655ms × (0.98,1.02) ~ (p=0.337)
BenchmarkGzip-4 656ms × (0.98,1.04) 653ms × (0.98,1.03) ~ (p=0.291)
BenchmarkGunzip 143ms × (1.00,1.01) 143ms × (1.00,1.01) ~ (p=0.507)
BenchmarkGunzip-2 143ms × (1.00,1.01) 143ms × (1.00,1.01) ~ (p=0.313)
BenchmarkGunzip-4 143ms × (1.00,1.01) 143ms × (1.00,1.01) ~ (p=0.312)
BenchmarkHTTPClientServer 110µs × (0.98,1.03) 109µs × (0.99,1.02) -1.40% (p=0.000)
BenchmarkHTTPClientServer-2 154µs × (0.90,1.08) 149µs × (0.90,1.08) -3.43% (p=0.007)
BenchmarkHTTPClientServer-4 138µs × (0.97,1.04) 138µs × (0.96,1.04) ~ (p=0.670)
BenchmarkJSONEncode 40.2ms × (0.98,1.02) 40.2ms × (0.98,1.05) ~ (p=0.828)
BenchmarkJSONEncode-2 35.1ms × (0.99,1.02) 35.2ms × (0.98,1.03) ~ (p=0.392)
BenchmarkJSONEncode-4 35.3ms × (0.98,1.03) 35.3ms × (0.98,1.02) ~ (p=0.813)
BenchmarkJSONDecode 119ms × (0.97,1.02) 117ms × (0.98,1.02) -1.80% (p=0.000)
BenchmarkJSONDecode-2 115ms × (0.99,1.02) 114ms × (0.98,1.02) -1.18% (p=0.000)
BenchmarkJSONDecode-4 116ms × (0.98,1.02) 114ms × (0.98,1.02) -1.43% (p=0.000)
BenchmarkMandelbrot200 6.03ms × (1.00,1.01) 6.03ms × (1.00,1.01) ~ (p=0.985)
BenchmarkMandelbrot200-2 6.03ms × (1.00,1.01) 6.02ms × (1.00,1.01) ~ (p=0.320)
BenchmarkMandelbrot200-4 6.03ms × (1.00,1.01) 6.03ms × (1.00,1.01) ~ (p=0.799)
BenchmarkGoParse 8.63ms × (0.89,1.10) 8.58ms × (0.93,1.09) ~ (p=0.667)
BenchmarkGoParse-2 8.20ms × (0.97,1.04) 8.37ms × (0.97,1.04) +1.96% (p=0.001)
BenchmarkGoParse-4 8.00ms × (0.98,1.02) 8.14ms × (0.99,1.02) +1.75% (p=0.000)
BenchmarkRegexpMatchEasy0_32 162ns × (1.00,1.01) 164ns × (0.98,1.04) +1.35% (p=0.011)
BenchmarkRegexpMatchEasy0_32-2 161ns × (1.00,1.01) 161ns × (1.00,1.00) ~ (p=0.185)
BenchmarkRegexpMatchEasy0_32-4 161ns × (1.00,1.00) 161ns × (1.00,1.00) -0.19% (p=0.001)
BenchmarkRegexpMatchEasy0_1K 540ns × (0.99,1.02) 566ns × (0.98,1.04) +4.98% (p=0.000)
BenchmarkRegexpMatchEasy0_1K-2 540ns × (0.99,1.01) 557ns × (0.99,1.01) +3.21% (p=0.000)
BenchmarkRegexpMatchEasy0_1K-4 541ns × (0.99,1.01) 559ns × (0.99,1.01) +3.26% (p=0.000)
BenchmarkRegexpMatchEasy1_32 139ns × (0.98,1.04) 139ns × (0.99,1.03) ~ (p=0.979)
BenchmarkRegexpMatchEasy1_32-2 139ns × (0.99,1.04) 139ns × (0.99,1.02) ~ (p=0.777)
BenchmarkRegexpMatchEasy1_32-4 139ns × (0.98,1.04) 139ns × (0.99,1.04) ~ (p=0.771)
BenchmarkRegexpMatchEasy1_1K 890ns × (0.99,1.03) 885ns × (1.00,1.01) -0.50% (p=0.004)
BenchmarkRegexpMatchEasy1_1K-2 888ns × (0.99,1.01) 885ns × (0.99,1.01) -0.37% (p=0.004)
BenchmarkRegexpMatchEasy1_1K-4 890ns × (0.99,1.02) 884ns × (1.00,1.00) -0.70% (p=0.000)
BenchmarkRegexpMatchMedium_32 252ns × (0.99,1.01) 251ns × (0.99,1.01) ~ (p=0.081)
BenchmarkRegexpMatchMedium_32-2 254ns × (0.99,1.04) 252ns × (0.99,1.01) -0.78% (p=0.027)
BenchmarkRegexpMatchMedium_32-4 253ns × (0.99,1.04) 252ns × (0.99,1.01) -0.70% (p=0.022)
BenchmarkRegexpMatchMedium_1K 72.9µs × (0.99,1.01) 72.7µs × (1.00,1.00) ~ (p=0.064)
BenchmarkRegexpMatchMedium_1K-2 74.1µs × (0.98,1.05) 72.9µs × (1.00,1.01) -1.61% (p=0.001)
BenchmarkRegexpMatchMedium_1K-4 73.6µs × (0.99,1.05) 72.8µs × (1.00,1.00) -1.13% (p=0.007)
BenchmarkRegexpMatchHard_32 3.88µs × (0.99,1.03) 3.92µs × (0.98,1.05) ~ (p=0.143)
BenchmarkRegexpMatchHard_32-2 3.89µs × (0.99,1.03) 3.93µs × (0.98,1.09) ~ (p=0.278)
BenchmarkRegexpMatchHard_32-4 3.90µs × (0.99,1.05) 3.93µs × (0.98,1.05) ~ (p=0.252)
BenchmarkRegexpMatchHard_1K 118µs × (0.99,1.01) 117µs × (0.99,1.02) -0.54% (p=0.003)
BenchmarkRegexpMatchHard_1K-2 118µs × (0.99,1.01) 118µs × (0.99,1.03) ~ (p=0.581)
BenchmarkRegexpMatchHard_1K-4 118µs × (0.99,1.02) 117µs × (0.99,1.01) -0.54% (p=0.002)
BenchmarkRevcomp 991ms × (0.95,1.10) 989ms × (0.94,1.08) ~ (p=0.879)
BenchmarkRevcomp-2 978ms × (0.95,1.11) 962ms × (0.96,1.08) ~ (p=0.257)
BenchmarkRevcomp-4 979ms × (0.96,1.07) 974ms × (0.96,1.11) ~ (p=0.678)
BenchmarkTemplate 141ms × (0.99,1.02) 145ms × (0.99,1.02) +2.75% (p=0.000)
BenchmarkTemplate-2 135ms × (0.98,1.02) 138ms × (0.99,1.02) +2.34% (p=0.000)
BenchmarkTemplate-4 136ms × (0.98,1.02) 140ms × (0.99,1.02) +2.71% (p=0.000)
BenchmarkTimeParse 640ns × (0.99,1.01) 622ns × (0.99,1.01) -2.88% (p=0.000)
BenchmarkTimeParse-2 640ns × (0.99,1.01) 622ns × (1.00,1.00) -2.81% (p=0.000)
BenchmarkTimeParse-4 640ns × (1.00,1.01) 622ns × (0.99,1.01) -2.82% (p=0.000)
BenchmarkTimeFormat 730ns × (0.98,1.02) 731ns × (0.98,1.03) ~ (p=0.767)
BenchmarkTimeFormat-2 709ns × (0.99,1.02) 707ns × (0.99,1.02) ~ (p=0.347)
BenchmarkTimeFormat-4 717ns × (0.98,1.01) 718ns × (0.98,1.02) ~ (p=0.793)
Change-Id: Ie779c47e912bf80eb918bafa13638bd8dfd6c2d9
Reviewed-on: https://go-review.googlesource.com/9406
Reviewed-by: Rick Hudson <rlh@golang.org>
2015-04-27 20:45:57 -06:00
|
|
|
|
scanobject(b, gcw)
|
2015-10-04 21:00:01 -06:00
|
|
|
|
|
|
|
|
|
// Flush background scan work credit.
|
|
|
|
|
if gcw.scanWork >= gcCreditSlack {
|
2015-11-02 12:09:24 -07:00
|
|
|
|
atomic.Xaddint64(&gcController.scanWork, gcw.scanWork)
|
2015-10-04 21:00:01 -06:00
|
|
|
|
workFlushed += gcw.scanWork
|
|
|
|
|
gcw.scanWork = 0
|
|
|
|
|
}
|
2015-02-19 11:38:46 -07:00
|
|
|
|
}
|
2015-10-04 21:00:01 -06:00
|
|
|
|
|
|
|
|
|
// Unlike gcDrain, there's no need to flush remaining work
|
|
|
|
|
// here because this never flushes to bgScanCredit and
|
|
|
|
|
// gcw.dispose will flush any remaining work to scanWork.
|
|
|
|
|
|
|
|
|
|
return workFlushed + gcw.scanWork
|
2015-02-19 11:38:46 -07:00
|
|
|
|
}
|
|
|
|
|
|
cmd/internal/gc, runtime: use 1-bit bitmap for stack frames, data, bss
The bitmaps were 2 bits per pointer because we needed to distinguish
scalar, pointer, multiword, and we used the leftover value to distinguish
uninitialized from scalar, even though the garbage collector (GC) didn't care.
Now that there are no multiword structures from the GC's point of view,
cut the bitmaps down to 1 bit per pointer, recording just live pointer vs not.
The GC assumes the same layout for stack frames and for the maps
describing the global data and bss sections, so change them all in one CL.
The code still refers to 4-bit heap bitmaps and 2-bit "type bitmaps", since
the 2-bit representation lives (at least for now) in some of the reflect data.
Because these stack frame bitmaps are stored directly in the rodata in
the binary, this CL reduces the size of the 6g binary by about 1.1%.
Performance change is basically a wash, but using less memory,
and smaller binaries, and enables other bitmap reductions.
name old mean new mean delta
BenchmarkBinaryTree17 13.2s × (0.97,1.03) 13.0s × (0.99,1.01) -0.93% (p=0.005)
BenchmarkBinaryTree17-2 9.69s × (0.96,1.05) 9.51s × (0.96,1.03) -1.86% (p=0.001)
BenchmarkBinaryTree17-4 10.1s × (0.97,1.05) 10.0s × (0.96,1.05) ~ (p=0.141)
BenchmarkFannkuch11 4.35s × (0.99,1.01) 4.43s × (0.98,1.04) +1.75% (p=0.001)
BenchmarkFannkuch11-2 4.31s × (0.99,1.03) 4.32s × (1.00,1.00) ~ (p=0.095)
BenchmarkFannkuch11-4 4.32s × (0.99,1.02) 4.38s × (0.98,1.04) +1.38% (p=0.008)
BenchmarkFmtFprintfEmpty 83.5ns × (0.97,1.10) 87.3ns × (0.92,1.11) +4.55% (p=0.014)
BenchmarkFmtFprintfEmpty-2 81.8ns × (0.98,1.04) 82.5ns × (0.97,1.08) ~ (p=0.364)
BenchmarkFmtFprintfEmpty-4 80.9ns × (0.99,1.01) 82.6ns × (0.97,1.08) +2.12% (p=0.010)
BenchmarkFmtFprintfString 320ns × (0.95,1.04) 322ns × (0.97,1.05) ~ (p=0.368)
BenchmarkFmtFprintfString-2 303ns × (0.97,1.04) 304ns × (0.97,1.04) ~ (p=0.484)
BenchmarkFmtFprintfString-4 305ns × (0.97,1.05) 306ns × (0.98,1.05) ~ (p=0.543)
BenchmarkFmtFprintfInt 311ns × (0.98,1.03) 319ns × (0.97,1.03) +2.63% (p=0.000)
BenchmarkFmtFprintfInt-2 297ns × (0.98,1.04) 301ns × (0.97,1.04) +1.19% (p=0.023)
BenchmarkFmtFprintfInt-4 302ns × (0.98,1.02) 304ns × (0.97,1.03) ~ (p=0.126)
BenchmarkFmtFprintfIntInt 554ns × (0.96,1.05) 554ns × (0.97,1.03) ~ (p=0.975)
BenchmarkFmtFprintfIntInt-2 520ns × (0.98,1.03) 517ns × (0.98,1.02) ~ (p=0.153)
BenchmarkFmtFprintfIntInt-4 524ns × (0.98,1.02) 525ns × (0.98,1.03) ~ (p=0.597)
BenchmarkFmtFprintfPrefixedInt 433ns × (0.97,1.06) 434ns × (0.97,1.06) ~ (p=0.804)
BenchmarkFmtFprintfPrefixedInt-2 413ns × (0.98,1.04) 413ns × (0.98,1.03) ~ (p=0.881)
BenchmarkFmtFprintfPrefixedInt-4 420ns × (0.97,1.03) 421ns × (0.97,1.03) ~ (p=0.561)
BenchmarkFmtFprintfFloat 620ns × (0.99,1.03) 636ns × (0.97,1.03) +2.57% (p=0.000)
BenchmarkFmtFprintfFloat-2 601ns × (0.98,1.02) 617ns × (0.98,1.03) +2.58% (p=0.000)
BenchmarkFmtFprintfFloat-4 613ns × (0.98,1.03) 626ns × (0.98,1.02) +2.15% (p=0.000)
BenchmarkFmtManyArgs 2.19µs × (0.96,1.04) 2.23µs × (0.97,1.02) +1.65% (p=0.000)
BenchmarkFmtManyArgs-2 2.08µs × (0.98,1.03) 2.10µs × (0.99,1.02) +0.79% (p=0.019)
BenchmarkFmtManyArgs-4 2.10µs × (0.98,1.02) 2.13µs × (0.98,1.02) +1.72% (p=0.000)
BenchmarkGobDecode 21.3ms × (0.97,1.05) 21.1ms × (0.97,1.04) -1.36% (p=0.025)
BenchmarkGobDecode-2 20.0ms × (0.97,1.03) 19.2ms × (0.97,1.03) -4.00% (p=0.000)
BenchmarkGobDecode-4 19.5ms × (0.99,1.02) 19.0ms × (0.99,1.01) -2.39% (p=0.000)
BenchmarkGobEncode 18.3ms × (0.95,1.07) 18.1ms × (0.96,1.08) ~ (p=0.305)
BenchmarkGobEncode-2 16.8ms × (0.97,1.02) 16.4ms × (0.98,1.02) -2.79% (p=0.000)
BenchmarkGobEncode-4 15.4ms × (0.98,1.02) 15.4ms × (0.98,1.02) ~ (p=0.465)
BenchmarkGzip 650ms × (0.98,1.03) 655ms × (0.97,1.04) ~ (p=0.075)
BenchmarkGzip-2 652ms × (0.98,1.03) 655ms × (0.98,1.02) ~ (p=0.337)
BenchmarkGzip-4 656ms × (0.98,1.04) 653ms × (0.98,1.03) ~ (p=0.291)
BenchmarkGunzip 143ms × (1.00,1.01) 143ms × (1.00,1.01) ~ (p=0.507)
BenchmarkGunzip-2 143ms × (1.00,1.01) 143ms × (1.00,1.01) ~ (p=0.313)
BenchmarkGunzip-4 143ms × (1.00,1.01) 143ms × (1.00,1.01) ~ (p=0.312)
BenchmarkHTTPClientServer 110µs × (0.98,1.03) 109µs × (0.99,1.02) -1.40% (p=0.000)
BenchmarkHTTPClientServer-2 154µs × (0.90,1.08) 149µs × (0.90,1.08) -3.43% (p=0.007)
BenchmarkHTTPClientServer-4 138µs × (0.97,1.04) 138µs × (0.96,1.04) ~ (p=0.670)
BenchmarkJSONEncode 40.2ms × (0.98,1.02) 40.2ms × (0.98,1.05) ~ (p=0.828)
BenchmarkJSONEncode-2 35.1ms × (0.99,1.02) 35.2ms × (0.98,1.03) ~ (p=0.392)
BenchmarkJSONEncode-4 35.3ms × (0.98,1.03) 35.3ms × (0.98,1.02) ~ (p=0.813)
BenchmarkJSONDecode 119ms × (0.97,1.02) 117ms × (0.98,1.02) -1.80% (p=0.000)
BenchmarkJSONDecode-2 115ms × (0.99,1.02) 114ms × (0.98,1.02) -1.18% (p=0.000)
BenchmarkJSONDecode-4 116ms × (0.98,1.02) 114ms × (0.98,1.02) -1.43% (p=0.000)
BenchmarkMandelbrot200 6.03ms × (1.00,1.01) 6.03ms × (1.00,1.01) ~ (p=0.985)
BenchmarkMandelbrot200-2 6.03ms × (1.00,1.01) 6.02ms × (1.00,1.01) ~ (p=0.320)
BenchmarkMandelbrot200-4 6.03ms × (1.00,1.01) 6.03ms × (1.00,1.01) ~ (p=0.799)
BenchmarkGoParse 8.63ms × (0.89,1.10) 8.58ms × (0.93,1.09) ~ (p=0.667)
BenchmarkGoParse-2 8.20ms × (0.97,1.04) 8.37ms × (0.97,1.04) +1.96% (p=0.001)
BenchmarkGoParse-4 8.00ms × (0.98,1.02) 8.14ms × (0.99,1.02) +1.75% (p=0.000)
BenchmarkRegexpMatchEasy0_32 162ns × (1.00,1.01) 164ns × (0.98,1.04) +1.35% (p=0.011)
BenchmarkRegexpMatchEasy0_32-2 161ns × (1.00,1.01) 161ns × (1.00,1.00) ~ (p=0.185)
BenchmarkRegexpMatchEasy0_32-4 161ns × (1.00,1.00) 161ns × (1.00,1.00) -0.19% (p=0.001)
BenchmarkRegexpMatchEasy0_1K 540ns × (0.99,1.02) 566ns × (0.98,1.04) +4.98% (p=0.000)
BenchmarkRegexpMatchEasy0_1K-2 540ns × (0.99,1.01) 557ns × (0.99,1.01) +3.21% (p=0.000)
BenchmarkRegexpMatchEasy0_1K-4 541ns × (0.99,1.01) 559ns × (0.99,1.01) +3.26% (p=0.000)
BenchmarkRegexpMatchEasy1_32 139ns × (0.98,1.04) 139ns × (0.99,1.03) ~ (p=0.979)
BenchmarkRegexpMatchEasy1_32-2 139ns × (0.99,1.04) 139ns × (0.99,1.02) ~ (p=0.777)
BenchmarkRegexpMatchEasy1_32-4 139ns × (0.98,1.04) 139ns × (0.99,1.04) ~ (p=0.771)
BenchmarkRegexpMatchEasy1_1K 890ns × (0.99,1.03) 885ns × (1.00,1.01) -0.50% (p=0.004)
BenchmarkRegexpMatchEasy1_1K-2 888ns × (0.99,1.01) 885ns × (0.99,1.01) -0.37% (p=0.004)
BenchmarkRegexpMatchEasy1_1K-4 890ns × (0.99,1.02) 884ns × (1.00,1.00) -0.70% (p=0.000)
BenchmarkRegexpMatchMedium_32 252ns × (0.99,1.01) 251ns × (0.99,1.01) ~ (p=0.081)
BenchmarkRegexpMatchMedium_32-2 254ns × (0.99,1.04) 252ns × (0.99,1.01) -0.78% (p=0.027)
BenchmarkRegexpMatchMedium_32-4 253ns × (0.99,1.04) 252ns × (0.99,1.01) -0.70% (p=0.022)
BenchmarkRegexpMatchMedium_1K 72.9µs × (0.99,1.01) 72.7µs × (1.00,1.00) ~ (p=0.064)
BenchmarkRegexpMatchMedium_1K-2 74.1µs × (0.98,1.05) 72.9µs × (1.00,1.01) -1.61% (p=0.001)
BenchmarkRegexpMatchMedium_1K-4 73.6µs × (0.99,1.05) 72.8µs × (1.00,1.00) -1.13% (p=0.007)
BenchmarkRegexpMatchHard_32 3.88µs × (0.99,1.03) 3.92µs × (0.98,1.05) ~ (p=0.143)
BenchmarkRegexpMatchHard_32-2 3.89µs × (0.99,1.03) 3.93µs × (0.98,1.09) ~ (p=0.278)
BenchmarkRegexpMatchHard_32-4 3.90µs × (0.99,1.05) 3.93µs × (0.98,1.05) ~ (p=0.252)
BenchmarkRegexpMatchHard_1K 118µs × (0.99,1.01) 117µs × (0.99,1.02) -0.54% (p=0.003)
BenchmarkRegexpMatchHard_1K-2 118µs × (0.99,1.01) 118µs × (0.99,1.03) ~ (p=0.581)
BenchmarkRegexpMatchHard_1K-4 118µs × (0.99,1.02) 117µs × (0.99,1.01) -0.54% (p=0.002)
BenchmarkRevcomp 991ms × (0.95,1.10) 989ms × (0.94,1.08) ~ (p=0.879)
BenchmarkRevcomp-2 978ms × (0.95,1.11) 962ms × (0.96,1.08) ~ (p=0.257)
BenchmarkRevcomp-4 979ms × (0.96,1.07) 974ms × (0.96,1.11) ~ (p=0.678)
BenchmarkTemplate 141ms × (0.99,1.02) 145ms × (0.99,1.02) +2.75% (p=0.000)
BenchmarkTemplate-2 135ms × (0.98,1.02) 138ms × (0.99,1.02) +2.34% (p=0.000)
BenchmarkTemplate-4 136ms × (0.98,1.02) 140ms × (0.99,1.02) +2.71% (p=0.000)
BenchmarkTimeParse 640ns × (0.99,1.01) 622ns × (0.99,1.01) -2.88% (p=0.000)
BenchmarkTimeParse-2 640ns × (0.99,1.01) 622ns × (1.00,1.00) -2.81% (p=0.000)
BenchmarkTimeParse-4 640ns × (1.00,1.01) 622ns × (0.99,1.01) -2.82% (p=0.000)
BenchmarkTimeFormat 730ns × (0.98,1.02) 731ns × (0.98,1.03) ~ (p=0.767)
BenchmarkTimeFormat-2 709ns × (0.99,1.02) 707ns × (0.99,1.02) ~ (p=0.347)
BenchmarkTimeFormat-4 717ns × (0.98,1.01) 718ns × (0.98,1.02) ~ (p=0.793)
Change-Id: Ie779c47e912bf80eb918bafa13638bd8dfd6c2d9
Reviewed-on: https://go-review.googlesource.com/9406
Reviewed-by: Rick Hudson <rlh@golang.org>
2015-04-27 20:45:57 -06:00
|
|
|
|
// scanblock scans b as scanobject would, but using an explicit
|
|
|
|
|
// pointer bitmap instead of the heap bitmap.
|
2015-05-04 14:10:49 -06:00
|
|
|
|
//
|
|
|
|
|
// This is used to scan non-heap roots, so it does not update
|
|
|
|
|
// gcw.bytesMarked or gcw.scanWork.
|
|
|
|
|
//
|
2015-02-19 11:38:46 -07:00
|
|
|
|
//go:nowritebarrier
|
2015-03-12 11:09:30 -06:00
|
|
|
|
func scanblock(b0, n0 uintptr, ptrmask *uint8, gcw *gcWork) {
|
2015-02-19 11:38:46 -07:00
|
|
|
|
// Use local copies of original parameters, so that a stack trace
|
|
|
|
|
// due to one of the throws below shows the original block
|
|
|
|
|
// base and extent.
|
|
|
|
|
b := b0
|
|
|
|
|
n := n0
|
|
|
|
|
|
cmd/internal/gc, runtime: use 1-bit bitmap for stack frames, data, bss
The bitmaps were 2 bits per pointer because we needed to distinguish
scalar, pointer, multiword, and we used the leftover value to distinguish
uninitialized from scalar, even though the garbage collector (GC) didn't care.
Now that there are no multiword structures from the GC's point of view,
cut the bitmaps down to 1 bit per pointer, recording just live pointer vs not.
The GC assumes the same layout for stack frames and for the maps
describing the global data and bss sections, so change them all in one CL.
The code still refers to 4-bit heap bitmaps and 2-bit "type bitmaps", since
the 2-bit representation lives (at least for now) in some of the reflect data.
Because these stack frame bitmaps are stored directly in the rodata in
the binary, this CL reduces the size of the 6g binary by about 1.1%.
Performance change is basically a wash, but using less memory,
and smaller binaries, and enables other bitmap reductions.
name old mean new mean delta
BenchmarkBinaryTree17 13.2s × (0.97,1.03) 13.0s × (0.99,1.01) -0.93% (p=0.005)
BenchmarkBinaryTree17-2 9.69s × (0.96,1.05) 9.51s × (0.96,1.03) -1.86% (p=0.001)
BenchmarkBinaryTree17-4 10.1s × (0.97,1.05) 10.0s × (0.96,1.05) ~ (p=0.141)
BenchmarkFannkuch11 4.35s × (0.99,1.01) 4.43s × (0.98,1.04) +1.75% (p=0.001)
BenchmarkFannkuch11-2 4.31s × (0.99,1.03) 4.32s × (1.00,1.00) ~ (p=0.095)
BenchmarkFannkuch11-4 4.32s × (0.99,1.02) 4.38s × (0.98,1.04) +1.38% (p=0.008)
BenchmarkFmtFprintfEmpty 83.5ns × (0.97,1.10) 87.3ns × (0.92,1.11) +4.55% (p=0.014)
BenchmarkFmtFprintfEmpty-2 81.8ns × (0.98,1.04) 82.5ns × (0.97,1.08) ~ (p=0.364)
BenchmarkFmtFprintfEmpty-4 80.9ns × (0.99,1.01) 82.6ns × (0.97,1.08) +2.12% (p=0.010)
BenchmarkFmtFprintfString 320ns × (0.95,1.04) 322ns × (0.97,1.05) ~ (p=0.368)
BenchmarkFmtFprintfString-2 303ns × (0.97,1.04) 304ns × (0.97,1.04) ~ (p=0.484)
BenchmarkFmtFprintfString-4 305ns × (0.97,1.05) 306ns × (0.98,1.05) ~ (p=0.543)
BenchmarkFmtFprintfInt 311ns × (0.98,1.03) 319ns × (0.97,1.03) +2.63% (p=0.000)
BenchmarkFmtFprintfInt-2 297ns × (0.98,1.04) 301ns × (0.97,1.04) +1.19% (p=0.023)
BenchmarkFmtFprintfInt-4 302ns × (0.98,1.02) 304ns × (0.97,1.03) ~ (p=0.126)
BenchmarkFmtFprintfIntInt 554ns × (0.96,1.05) 554ns × (0.97,1.03) ~ (p=0.975)
BenchmarkFmtFprintfIntInt-2 520ns × (0.98,1.03) 517ns × (0.98,1.02) ~ (p=0.153)
BenchmarkFmtFprintfIntInt-4 524ns × (0.98,1.02) 525ns × (0.98,1.03) ~ (p=0.597)
BenchmarkFmtFprintfPrefixedInt 433ns × (0.97,1.06) 434ns × (0.97,1.06) ~ (p=0.804)
BenchmarkFmtFprintfPrefixedInt-2 413ns × (0.98,1.04) 413ns × (0.98,1.03) ~ (p=0.881)
BenchmarkFmtFprintfPrefixedInt-4 420ns × (0.97,1.03) 421ns × (0.97,1.03) ~ (p=0.561)
BenchmarkFmtFprintfFloat 620ns × (0.99,1.03) 636ns × (0.97,1.03) +2.57% (p=0.000)
BenchmarkFmtFprintfFloat-2 601ns × (0.98,1.02) 617ns × (0.98,1.03) +2.58% (p=0.000)
BenchmarkFmtFprintfFloat-4 613ns × (0.98,1.03) 626ns × (0.98,1.02) +2.15% (p=0.000)
BenchmarkFmtManyArgs 2.19µs × (0.96,1.04) 2.23µs × (0.97,1.02) +1.65% (p=0.000)
BenchmarkFmtManyArgs-2 2.08µs × (0.98,1.03) 2.10µs × (0.99,1.02) +0.79% (p=0.019)
BenchmarkFmtManyArgs-4 2.10µs × (0.98,1.02) 2.13µs × (0.98,1.02) +1.72% (p=0.000)
BenchmarkGobDecode 21.3ms × (0.97,1.05) 21.1ms × (0.97,1.04) -1.36% (p=0.025)
BenchmarkGobDecode-2 20.0ms × (0.97,1.03) 19.2ms × (0.97,1.03) -4.00% (p=0.000)
BenchmarkGobDecode-4 19.5ms × (0.99,1.02) 19.0ms × (0.99,1.01) -2.39% (p=0.000)
BenchmarkGobEncode 18.3ms × (0.95,1.07) 18.1ms × (0.96,1.08) ~ (p=0.305)
BenchmarkGobEncode-2 16.8ms × (0.97,1.02) 16.4ms × (0.98,1.02) -2.79% (p=0.000)
BenchmarkGobEncode-4 15.4ms × (0.98,1.02) 15.4ms × (0.98,1.02) ~ (p=0.465)
BenchmarkGzip 650ms × (0.98,1.03) 655ms × (0.97,1.04) ~ (p=0.075)
BenchmarkGzip-2 652ms × (0.98,1.03) 655ms × (0.98,1.02) ~ (p=0.337)
BenchmarkGzip-4 656ms × (0.98,1.04) 653ms × (0.98,1.03) ~ (p=0.291)
BenchmarkGunzip 143ms × (1.00,1.01) 143ms × (1.00,1.01) ~ (p=0.507)
BenchmarkGunzip-2 143ms × (1.00,1.01) 143ms × (1.00,1.01) ~ (p=0.313)
BenchmarkGunzip-4 143ms × (1.00,1.01) 143ms × (1.00,1.01) ~ (p=0.312)
BenchmarkHTTPClientServer 110µs × (0.98,1.03) 109µs × (0.99,1.02) -1.40% (p=0.000)
BenchmarkHTTPClientServer-2 154µs × (0.90,1.08) 149µs × (0.90,1.08) -3.43% (p=0.007)
BenchmarkHTTPClientServer-4 138µs × (0.97,1.04) 138µs × (0.96,1.04) ~ (p=0.670)
BenchmarkJSONEncode 40.2ms × (0.98,1.02) 40.2ms × (0.98,1.05) ~ (p=0.828)
BenchmarkJSONEncode-2 35.1ms × (0.99,1.02) 35.2ms × (0.98,1.03) ~ (p=0.392)
BenchmarkJSONEncode-4 35.3ms × (0.98,1.03) 35.3ms × (0.98,1.02) ~ (p=0.813)
BenchmarkJSONDecode 119ms × (0.97,1.02) 117ms × (0.98,1.02) -1.80% (p=0.000)
BenchmarkJSONDecode-2 115ms × (0.99,1.02) 114ms × (0.98,1.02) -1.18% (p=0.000)
BenchmarkJSONDecode-4 116ms × (0.98,1.02) 114ms × (0.98,1.02) -1.43% (p=0.000)
BenchmarkMandelbrot200 6.03ms × (1.00,1.01) 6.03ms × (1.00,1.01) ~ (p=0.985)
BenchmarkMandelbrot200-2 6.03ms × (1.00,1.01) 6.02ms × (1.00,1.01) ~ (p=0.320)
BenchmarkMandelbrot200-4 6.03ms × (1.00,1.01) 6.03ms × (1.00,1.01) ~ (p=0.799)
BenchmarkGoParse 8.63ms × (0.89,1.10) 8.58ms × (0.93,1.09) ~ (p=0.667)
BenchmarkGoParse-2 8.20ms × (0.97,1.04) 8.37ms × (0.97,1.04) +1.96% (p=0.001)
BenchmarkGoParse-4 8.00ms × (0.98,1.02) 8.14ms × (0.99,1.02) +1.75% (p=0.000)
BenchmarkRegexpMatchEasy0_32 162ns × (1.00,1.01) 164ns × (0.98,1.04) +1.35% (p=0.011)
BenchmarkRegexpMatchEasy0_32-2 161ns × (1.00,1.01) 161ns × (1.00,1.00) ~ (p=0.185)
BenchmarkRegexpMatchEasy0_32-4 161ns × (1.00,1.00) 161ns × (1.00,1.00) -0.19% (p=0.001)
BenchmarkRegexpMatchEasy0_1K 540ns × (0.99,1.02) 566ns × (0.98,1.04) +4.98% (p=0.000)
BenchmarkRegexpMatchEasy0_1K-2 540ns × (0.99,1.01) 557ns × (0.99,1.01) +3.21% (p=0.000)
BenchmarkRegexpMatchEasy0_1K-4 541ns × (0.99,1.01) 559ns × (0.99,1.01) +3.26% (p=0.000)
BenchmarkRegexpMatchEasy1_32 139ns × (0.98,1.04) 139ns × (0.99,1.03) ~ (p=0.979)
BenchmarkRegexpMatchEasy1_32-2 139ns × (0.99,1.04) 139ns × (0.99,1.02) ~ (p=0.777)
BenchmarkRegexpMatchEasy1_32-4 139ns × (0.98,1.04) 139ns × (0.99,1.04) ~ (p=0.771)
BenchmarkRegexpMatchEasy1_1K 890ns × (0.99,1.03) 885ns × (1.00,1.01) -0.50% (p=0.004)
BenchmarkRegexpMatchEasy1_1K-2 888ns × (0.99,1.01) 885ns × (0.99,1.01) -0.37% (p=0.004)
BenchmarkRegexpMatchEasy1_1K-4 890ns × (0.99,1.02) 884ns × (1.00,1.00) -0.70% (p=0.000)
BenchmarkRegexpMatchMedium_32 252ns × (0.99,1.01) 251ns × (0.99,1.01) ~ (p=0.081)
BenchmarkRegexpMatchMedium_32-2 254ns × (0.99,1.04) 252ns × (0.99,1.01) -0.78% (p=0.027)
BenchmarkRegexpMatchMedium_32-4 253ns × (0.99,1.04) 252ns × (0.99,1.01) -0.70% (p=0.022)
BenchmarkRegexpMatchMedium_1K 72.9µs × (0.99,1.01) 72.7µs × (1.00,1.00) ~ (p=0.064)
BenchmarkRegexpMatchMedium_1K-2 74.1µs × (0.98,1.05) 72.9µs × (1.00,1.01) -1.61% (p=0.001)
BenchmarkRegexpMatchMedium_1K-4 73.6µs × (0.99,1.05) 72.8µs × (1.00,1.00) -1.13% (p=0.007)
BenchmarkRegexpMatchHard_32 3.88µs × (0.99,1.03) 3.92µs × (0.98,1.05) ~ (p=0.143)
BenchmarkRegexpMatchHard_32-2 3.89µs × (0.99,1.03) 3.93µs × (0.98,1.09) ~ (p=0.278)
BenchmarkRegexpMatchHard_32-4 3.90µs × (0.99,1.05) 3.93µs × (0.98,1.05) ~ (p=0.252)
BenchmarkRegexpMatchHard_1K 118µs × (0.99,1.01) 117µs × (0.99,1.02) -0.54% (p=0.003)
BenchmarkRegexpMatchHard_1K-2 118µs × (0.99,1.01) 118µs × (0.99,1.03) ~ (p=0.581)
BenchmarkRegexpMatchHard_1K-4 118µs × (0.99,1.02) 117µs × (0.99,1.01) -0.54% (p=0.002)
BenchmarkRevcomp 991ms × (0.95,1.10) 989ms × (0.94,1.08) ~ (p=0.879)
BenchmarkRevcomp-2 978ms × (0.95,1.11) 962ms × (0.96,1.08) ~ (p=0.257)
BenchmarkRevcomp-4 979ms × (0.96,1.07) 974ms × (0.96,1.11) ~ (p=0.678)
BenchmarkTemplate 141ms × (0.99,1.02) 145ms × (0.99,1.02) +2.75% (p=0.000)
BenchmarkTemplate-2 135ms × (0.98,1.02) 138ms × (0.99,1.02) +2.34% (p=0.000)
BenchmarkTemplate-4 136ms × (0.98,1.02) 140ms × (0.99,1.02) +2.71% (p=0.000)
BenchmarkTimeParse 640ns × (0.99,1.01) 622ns × (0.99,1.01) -2.88% (p=0.000)
BenchmarkTimeParse-2 640ns × (0.99,1.01) 622ns × (1.00,1.00) -2.81% (p=0.000)
BenchmarkTimeParse-4 640ns × (1.00,1.01) 622ns × (0.99,1.01) -2.82% (p=0.000)
BenchmarkTimeFormat 730ns × (0.98,1.02) 731ns × (0.98,1.03) ~ (p=0.767)
BenchmarkTimeFormat-2 709ns × (0.99,1.02) 707ns × (0.99,1.02) ~ (p=0.347)
BenchmarkTimeFormat-4 717ns × (0.98,1.01) 718ns × (0.98,1.02) ~ (p=0.793)
Change-Id: Ie779c47e912bf80eb918bafa13638bd8dfd6c2d9
Reviewed-on: https://go-review.googlesource.com/9406
Reviewed-by: Rick Hudson <rlh@golang.org>
2015-04-27 20:45:57 -06:00
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arena_start := mheap_.arena_start
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arena_used := mheap_.arena_used
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2015-02-19 11:38:46 -07:00
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cmd/internal/gc, runtime: use 1-bit bitmap for stack frames, data, bss
The bitmaps were 2 bits per pointer because we needed to distinguish
scalar, pointer, multiword, and we used the leftover value to distinguish
uninitialized from scalar, even though the garbage collector (GC) didn't care.
Now that there are no multiword structures from the GC's point of view,
cut the bitmaps down to 1 bit per pointer, recording just live pointer vs not.
The GC assumes the same layout for stack frames and for the maps
describing the global data and bss sections, so change them all in one CL.
The code still refers to 4-bit heap bitmaps and 2-bit "type bitmaps", since
the 2-bit representation lives (at least for now) in some of the reflect data.
Because these stack frame bitmaps are stored directly in the rodata in
the binary, this CL reduces the size of the 6g binary by about 1.1%.
Performance change is basically a wash, but using less memory,
and smaller binaries, and enables other bitmap reductions.
name old mean new mean delta
BenchmarkBinaryTree17 13.2s × (0.97,1.03) 13.0s × (0.99,1.01) -0.93% (p=0.005)
BenchmarkBinaryTree17-2 9.69s × (0.96,1.05) 9.51s × (0.96,1.03) -1.86% (p=0.001)
BenchmarkBinaryTree17-4 10.1s × (0.97,1.05) 10.0s × (0.96,1.05) ~ (p=0.141)
BenchmarkFannkuch11 4.35s × (0.99,1.01) 4.43s × (0.98,1.04) +1.75% (p=0.001)
BenchmarkFannkuch11-2 4.31s × (0.99,1.03) 4.32s × (1.00,1.00) ~ (p=0.095)
BenchmarkFannkuch11-4 4.32s × (0.99,1.02) 4.38s × (0.98,1.04) +1.38% (p=0.008)
BenchmarkFmtFprintfEmpty 83.5ns × (0.97,1.10) 87.3ns × (0.92,1.11) +4.55% (p=0.014)
BenchmarkFmtFprintfEmpty-2 81.8ns × (0.98,1.04) 82.5ns × (0.97,1.08) ~ (p=0.364)
BenchmarkFmtFprintfEmpty-4 80.9ns × (0.99,1.01) 82.6ns × (0.97,1.08) +2.12% (p=0.010)
BenchmarkFmtFprintfString 320ns × (0.95,1.04) 322ns × (0.97,1.05) ~ (p=0.368)
BenchmarkFmtFprintfString-2 303ns × (0.97,1.04) 304ns × (0.97,1.04) ~ (p=0.484)
BenchmarkFmtFprintfString-4 305ns × (0.97,1.05) 306ns × (0.98,1.05) ~ (p=0.543)
BenchmarkFmtFprintfInt 311ns × (0.98,1.03) 319ns × (0.97,1.03) +2.63% (p=0.000)
BenchmarkFmtFprintfInt-2 297ns × (0.98,1.04) 301ns × (0.97,1.04) +1.19% (p=0.023)
BenchmarkFmtFprintfInt-4 302ns × (0.98,1.02) 304ns × (0.97,1.03) ~ (p=0.126)
BenchmarkFmtFprintfIntInt 554ns × (0.96,1.05) 554ns × (0.97,1.03) ~ (p=0.975)
BenchmarkFmtFprintfIntInt-2 520ns × (0.98,1.03) 517ns × (0.98,1.02) ~ (p=0.153)
BenchmarkFmtFprintfIntInt-4 524ns × (0.98,1.02) 525ns × (0.98,1.03) ~ (p=0.597)
BenchmarkFmtFprintfPrefixedInt 433ns × (0.97,1.06) 434ns × (0.97,1.06) ~ (p=0.804)
BenchmarkFmtFprintfPrefixedInt-2 413ns × (0.98,1.04) 413ns × (0.98,1.03) ~ (p=0.881)
BenchmarkFmtFprintfPrefixedInt-4 420ns × (0.97,1.03) 421ns × (0.97,1.03) ~ (p=0.561)
BenchmarkFmtFprintfFloat 620ns × (0.99,1.03) 636ns × (0.97,1.03) +2.57% (p=0.000)
BenchmarkFmtFprintfFloat-2 601ns × (0.98,1.02) 617ns × (0.98,1.03) +2.58% (p=0.000)
BenchmarkFmtFprintfFloat-4 613ns × (0.98,1.03) 626ns × (0.98,1.02) +2.15% (p=0.000)
BenchmarkFmtManyArgs 2.19µs × (0.96,1.04) 2.23µs × (0.97,1.02) +1.65% (p=0.000)
BenchmarkFmtManyArgs-2 2.08µs × (0.98,1.03) 2.10µs × (0.99,1.02) +0.79% (p=0.019)
BenchmarkFmtManyArgs-4 2.10µs × (0.98,1.02) 2.13µs × (0.98,1.02) +1.72% (p=0.000)
BenchmarkGobDecode 21.3ms × (0.97,1.05) 21.1ms × (0.97,1.04) -1.36% (p=0.025)
BenchmarkGobDecode-2 20.0ms × (0.97,1.03) 19.2ms × (0.97,1.03) -4.00% (p=0.000)
BenchmarkGobDecode-4 19.5ms × (0.99,1.02) 19.0ms × (0.99,1.01) -2.39% (p=0.000)
BenchmarkGobEncode 18.3ms × (0.95,1.07) 18.1ms × (0.96,1.08) ~ (p=0.305)
BenchmarkGobEncode-2 16.8ms × (0.97,1.02) 16.4ms × (0.98,1.02) -2.79% (p=0.000)
BenchmarkGobEncode-4 15.4ms × (0.98,1.02) 15.4ms × (0.98,1.02) ~ (p=0.465)
BenchmarkGzip 650ms × (0.98,1.03) 655ms × (0.97,1.04) ~ (p=0.075)
BenchmarkGzip-2 652ms × (0.98,1.03) 655ms × (0.98,1.02) ~ (p=0.337)
BenchmarkGzip-4 656ms × (0.98,1.04) 653ms × (0.98,1.03) ~ (p=0.291)
BenchmarkGunzip 143ms × (1.00,1.01) 143ms × (1.00,1.01) ~ (p=0.507)
BenchmarkGunzip-2 143ms × (1.00,1.01) 143ms × (1.00,1.01) ~ (p=0.313)
BenchmarkGunzip-4 143ms × (1.00,1.01) 143ms × (1.00,1.01) ~ (p=0.312)
BenchmarkHTTPClientServer 110µs × (0.98,1.03) 109µs × (0.99,1.02) -1.40% (p=0.000)
BenchmarkHTTPClientServer-2 154µs × (0.90,1.08) 149µs × (0.90,1.08) -3.43% (p=0.007)
BenchmarkHTTPClientServer-4 138µs × (0.97,1.04) 138µs × (0.96,1.04) ~ (p=0.670)
BenchmarkJSONEncode 40.2ms × (0.98,1.02) 40.2ms × (0.98,1.05) ~ (p=0.828)
BenchmarkJSONEncode-2 35.1ms × (0.99,1.02) 35.2ms × (0.98,1.03) ~ (p=0.392)
BenchmarkJSONEncode-4 35.3ms × (0.98,1.03) 35.3ms × (0.98,1.02) ~ (p=0.813)
BenchmarkJSONDecode 119ms × (0.97,1.02) 117ms × (0.98,1.02) -1.80% (p=0.000)
BenchmarkJSONDecode-2 115ms × (0.99,1.02) 114ms × (0.98,1.02) -1.18% (p=0.000)
BenchmarkJSONDecode-4 116ms × (0.98,1.02) 114ms × (0.98,1.02) -1.43% (p=0.000)
BenchmarkMandelbrot200 6.03ms × (1.00,1.01) 6.03ms × (1.00,1.01) ~ (p=0.985)
BenchmarkMandelbrot200-2 6.03ms × (1.00,1.01) 6.02ms × (1.00,1.01) ~ (p=0.320)
BenchmarkMandelbrot200-4 6.03ms × (1.00,1.01) 6.03ms × (1.00,1.01) ~ (p=0.799)
BenchmarkGoParse 8.63ms × (0.89,1.10) 8.58ms × (0.93,1.09) ~ (p=0.667)
BenchmarkGoParse-2 8.20ms × (0.97,1.04) 8.37ms × (0.97,1.04) +1.96% (p=0.001)
BenchmarkGoParse-4 8.00ms × (0.98,1.02) 8.14ms × (0.99,1.02) +1.75% (p=0.000)
BenchmarkRegexpMatchEasy0_32 162ns × (1.00,1.01) 164ns × (0.98,1.04) +1.35% (p=0.011)
BenchmarkRegexpMatchEasy0_32-2 161ns × (1.00,1.01) 161ns × (1.00,1.00) ~ (p=0.185)
BenchmarkRegexpMatchEasy0_32-4 161ns × (1.00,1.00) 161ns × (1.00,1.00) -0.19% (p=0.001)
BenchmarkRegexpMatchEasy0_1K 540ns × (0.99,1.02) 566ns × (0.98,1.04) +4.98% (p=0.000)
BenchmarkRegexpMatchEasy0_1K-2 540ns × (0.99,1.01) 557ns × (0.99,1.01) +3.21% (p=0.000)
BenchmarkRegexpMatchEasy0_1K-4 541ns × (0.99,1.01) 559ns × (0.99,1.01) +3.26% (p=0.000)
BenchmarkRegexpMatchEasy1_32 139ns × (0.98,1.04) 139ns × (0.99,1.03) ~ (p=0.979)
BenchmarkRegexpMatchEasy1_32-2 139ns × (0.99,1.04) 139ns × (0.99,1.02) ~ (p=0.777)
BenchmarkRegexpMatchEasy1_32-4 139ns × (0.98,1.04) 139ns × (0.99,1.04) ~ (p=0.771)
BenchmarkRegexpMatchEasy1_1K 890ns × (0.99,1.03) 885ns × (1.00,1.01) -0.50% (p=0.004)
BenchmarkRegexpMatchEasy1_1K-2 888ns × (0.99,1.01) 885ns × (0.99,1.01) -0.37% (p=0.004)
BenchmarkRegexpMatchEasy1_1K-4 890ns × (0.99,1.02) 884ns × (1.00,1.00) -0.70% (p=0.000)
BenchmarkRegexpMatchMedium_32 252ns × (0.99,1.01) 251ns × (0.99,1.01) ~ (p=0.081)
BenchmarkRegexpMatchMedium_32-2 254ns × (0.99,1.04) 252ns × (0.99,1.01) -0.78% (p=0.027)
BenchmarkRegexpMatchMedium_32-4 253ns × (0.99,1.04) 252ns × (0.99,1.01) -0.70% (p=0.022)
BenchmarkRegexpMatchMedium_1K 72.9µs × (0.99,1.01) 72.7µs × (1.00,1.00) ~ (p=0.064)
BenchmarkRegexpMatchMedium_1K-2 74.1µs × (0.98,1.05) 72.9µs × (1.00,1.01) -1.61% (p=0.001)
BenchmarkRegexpMatchMedium_1K-4 73.6µs × (0.99,1.05) 72.8µs × (1.00,1.00) -1.13% (p=0.007)
BenchmarkRegexpMatchHard_32 3.88µs × (0.99,1.03) 3.92µs × (0.98,1.05) ~ (p=0.143)
BenchmarkRegexpMatchHard_32-2 3.89µs × (0.99,1.03) 3.93µs × (0.98,1.09) ~ (p=0.278)
BenchmarkRegexpMatchHard_32-4 3.90µs × (0.99,1.05) 3.93µs × (0.98,1.05) ~ (p=0.252)
BenchmarkRegexpMatchHard_1K 118µs × (0.99,1.01) 117µs × (0.99,1.02) -0.54% (p=0.003)
BenchmarkRegexpMatchHard_1K-2 118µs × (0.99,1.01) 118µs × (0.99,1.03) ~ (p=0.581)
BenchmarkRegexpMatchHard_1K-4 118µs × (0.99,1.02) 117µs × (0.99,1.01) -0.54% (p=0.002)
BenchmarkRevcomp 991ms × (0.95,1.10) 989ms × (0.94,1.08) ~ (p=0.879)
BenchmarkRevcomp-2 978ms × (0.95,1.11) 962ms × (0.96,1.08) ~ (p=0.257)
BenchmarkRevcomp-4 979ms × (0.96,1.07) 974ms × (0.96,1.11) ~ (p=0.678)
BenchmarkTemplate 141ms × (0.99,1.02) 145ms × (0.99,1.02) +2.75% (p=0.000)
BenchmarkTemplate-2 135ms × (0.98,1.02) 138ms × (0.99,1.02) +2.34% (p=0.000)
BenchmarkTemplate-4 136ms × (0.98,1.02) 140ms × (0.99,1.02) +2.71% (p=0.000)
BenchmarkTimeParse 640ns × (0.99,1.01) 622ns × (0.99,1.01) -2.88% (p=0.000)
BenchmarkTimeParse-2 640ns × (0.99,1.01) 622ns × (1.00,1.00) -2.81% (p=0.000)
BenchmarkTimeParse-4 640ns × (1.00,1.01) 622ns × (0.99,1.01) -2.82% (p=0.000)
BenchmarkTimeFormat 730ns × (0.98,1.02) 731ns × (0.98,1.03) ~ (p=0.767)
BenchmarkTimeFormat-2 709ns × (0.99,1.02) 707ns × (0.99,1.02) ~ (p=0.347)
BenchmarkTimeFormat-4 717ns × (0.98,1.01) 718ns × (0.98,1.02) ~ (p=0.793)
Change-Id: Ie779c47e912bf80eb918bafa13638bd8dfd6c2d9
Reviewed-on: https://go-review.googlesource.com/9406
Reviewed-by: Rick Hudson <rlh@golang.org>
2015-04-27 20:45:57 -06:00
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for i := uintptr(0); i < n; {
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// Find bits for the next word.
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2015-11-11 10:39:30 -07:00
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bits := uint32(*addb(ptrmask, i/(sys.PtrSize*8)))
|
cmd/internal/gc, runtime: use 1-bit bitmap for stack frames, data, bss
The bitmaps were 2 bits per pointer because we needed to distinguish
scalar, pointer, multiword, and we used the leftover value to distinguish
uninitialized from scalar, even though the garbage collector (GC) didn't care.
Now that there are no multiword structures from the GC's point of view,
cut the bitmaps down to 1 bit per pointer, recording just live pointer vs not.
The GC assumes the same layout for stack frames and for the maps
describing the global data and bss sections, so change them all in one CL.
The code still refers to 4-bit heap bitmaps and 2-bit "type bitmaps", since
the 2-bit representation lives (at least for now) in some of the reflect data.
Because these stack frame bitmaps are stored directly in the rodata in
the binary, this CL reduces the size of the 6g binary by about 1.1%.
Performance change is basically a wash, but using less memory,
and smaller binaries, and enables other bitmap reductions.
name old mean new mean delta
BenchmarkBinaryTree17 13.2s × (0.97,1.03) 13.0s × (0.99,1.01) -0.93% (p=0.005)
BenchmarkBinaryTree17-2 9.69s × (0.96,1.05) 9.51s × (0.96,1.03) -1.86% (p=0.001)
BenchmarkBinaryTree17-4 10.1s × (0.97,1.05) 10.0s × (0.96,1.05) ~ (p=0.141)
BenchmarkFannkuch11 4.35s × (0.99,1.01) 4.43s × (0.98,1.04) +1.75% (p=0.001)
BenchmarkFannkuch11-2 4.31s × (0.99,1.03) 4.32s × (1.00,1.00) ~ (p=0.095)
BenchmarkFannkuch11-4 4.32s × (0.99,1.02) 4.38s × (0.98,1.04) +1.38% (p=0.008)
BenchmarkFmtFprintfEmpty 83.5ns × (0.97,1.10) 87.3ns × (0.92,1.11) +4.55% (p=0.014)
BenchmarkFmtFprintfEmpty-2 81.8ns × (0.98,1.04) 82.5ns × (0.97,1.08) ~ (p=0.364)
BenchmarkFmtFprintfEmpty-4 80.9ns × (0.99,1.01) 82.6ns × (0.97,1.08) +2.12% (p=0.010)
BenchmarkFmtFprintfString 320ns × (0.95,1.04) 322ns × (0.97,1.05) ~ (p=0.368)
BenchmarkFmtFprintfString-2 303ns × (0.97,1.04) 304ns × (0.97,1.04) ~ (p=0.484)
BenchmarkFmtFprintfString-4 305ns × (0.97,1.05) 306ns × (0.98,1.05) ~ (p=0.543)
BenchmarkFmtFprintfInt 311ns × (0.98,1.03) 319ns × (0.97,1.03) +2.63% (p=0.000)
BenchmarkFmtFprintfInt-2 297ns × (0.98,1.04) 301ns × (0.97,1.04) +1.19% (p=0.023)
BenchmarkFmtFprintfInt-4 302ns × (0.98,1.02) 304ns × (0.97,1.03) ~ (p=0.126)
BenchmarkFmtFprintfIntInt 554ns × (0.96,1.05) 554ns × (0.97,1.03) ~ (p=0.975)
BenchmarkFmtFprintfIntInt-2 520ns × (0.98,1.03) 517ns × (0.98,1.02) ~ (p=0.153)
BenchmarkFmtFprintfIntInt-4 524ns × (0.98,1.02) 525ns × (0.98,1.03) ~ (p=0.597)
BenchmarkFmtFprintfPrefixedInt 433ns × (0.97,1.06) 434ns × (0.97,1.06) ~ (p=0.804)
BenchmarkFmtFprintfPrefixedInt-2 413ns × (0.98,1.04) 413ns × (0.98,1.03) ~ (p=0.881)
BenchmarkFmtFprintfPrefixedInt-4 420ns × (0.97,1.03) 421ns × (0.97,1.03) ~ (p=0.561)
BenchmarkFmtFprintfFloat 620ns × (0.99,1.03) 636ns × (0.97,1.03) +2.57% (p=0.000)
BenchmarkFmtFprintfFloat-2 601ns × (0.98,1.02) 617ns × (0.98,1.03) +2.58% (p=0.000)
BenchmarkFmtFprintfFloat-4 613ns × (0.98,1.03) 626ns × (0.98,1.02) +2.15% (p=0.000)
BenchmarkFmtManyArgs 2.19µs × (0.96,1.04) 2.23µs × (0.97,1.02) +1.65% (p=0.000)
BenchmarkFmtManyArgs-2 2.08µs × (0.98,1.03) 2.10µs × (0.99,1.02) +0.79% (p=0.019)
BenchmarkFmtManyArgs-4 2.10µs × (0.98,1.02) 2.13µs × (0.98,1.02) +1.72% (p=0.000)
BenchmarkGobDecode 21.3ms × (0.97,1.05) 21.1ms × (0.97,1.04) -1.36% (p=0.025)
BenchmarkGobDecode-2 20.0ms × (0.97,1.03) 19.2ms × (0.97,1.03) -4.00% (p=0.000)
BenchmarkGobDecode-4 19.5ms × (0.99,1.02) 19.0ms × (0.99,1.01) -2.39% (p=0.000)
BenchmarkGobEncode 18.3ms × (0.95,1.07) 18.1ms × (0.96,1.08) ~ (p=0.305)
BenchmarkGobEncode-2 16.8ms × (0.97,1.02) 16.4ms × (0.98,1.02) -2.79% (p=0.000)
BenchmarkGobEncode-4 15.4ms × (0.98,1.02) 15.4ms × (0.98,1.02) ~ (p=0.465)
BenchmarkGzip 650ms × (0.98,1.03) 655ms × (0.97,1.04) ~ (p=0.075)
BenchmarkGzip-2 652ms × (0.98,1.03) 655ms × (0.98,1.02) ~ (p=0.337)
BenchmarkGzip-4 656ms × (0.98,1.04) 653ms × (0.98,1.03) ~ (p=0.291)
BenchmarkGunzip 143ms × (1.00,1.01) 143ms × (1.00,1.01) ~ (p=0.507)
BenchmarkGunzip-2 143ms × (1.00,1.01) 143ms × (1.00,1.01) ~ (p=0.313)
BenchmarkGunzip-4 143ms × (1.00,1.01) 143ms × (1.00,1.01) ~ (p=0.312)
BenchmarkHTTPClientServer 110µs × (0.98,1.03) 109µs × (0.99,1.02) -1.40% (p=0.000)
BenchmarkHTTPClientServer-2 154µs × (0.90,1.08) 149µs × (0.90,1.08) -3.43% (p=0.007)
BenchmarkHTTPClientServer-4 138µs × (0.97,1.04) 138µs × (0.96,1.04) ~ (p=0.670)
BenchmarkJSONEncode 40.2ms × (0.98,1.02) 40.2ms × (0.98,1.05) ~ (p=0.828)
BenchmarkJSONEncode-2 35.1ms × (0.99,1.02) 35.2ms × (0.98,1.03) ~ (p=0.392)
BenchmarkJSONEncode-4 35.3ms × (0.98,1.03) 35.3ms × (0.98,1.02) ~ (p=0.813)
BenchmarkJSONDecode 119ms × (0.97,1.02) 117ms × (0.98,1.02) -1.80% (p=0.000)
BenchmarkJSONDecode-2 115ms × (0.99,1.02) 114ms × (0.98,1.02) -1.18% (p=0.000)
BenchmarkJSONDecode-4 116ms × (0.98,1.02) 114ms × (0.98,1.02) -1.43% (p=0.000)
BenchmarkMandelbrot200 6.03ms × (1.00,1.01) 6.03ms × (1.00,1.01) ~ (p=0.985)
BenchmarkMandelbrot200-2 6.03ms × (1.00,1.01) 6.02ms × (1.00,1.01) ~ (p=0.320)
BenchmarkMandelbrot200-4 6.03ms × (1.00,1.01) 6.03ms × (1.00,1.01) ~ (p=0.799)
BenchmarkGoParse 8.63ms × (0.89,1.10) 8.58ms × (0.93,1.09) ~ (p=0.667)
BenchmarkGoParse-2 8.20ms × (0.97,1.04) 8.37ms × (0.97,1.04) +1.96% (p=0.001)
BenchmarkGoParse-4 8.00ms × (0.98,1.02) 8.14ms × (0.99,1.02) +1.75% (p=0.000)
BenchmarkRegexpMatchEasy0_32 162ns × (1.00,1.01) 164ns × (0.98,1.04) +1.35% (p=0.011)
BenchmarkRegexpMatchEasy0_32-2 161ns × (1.00,1.01) 161ns × (1.00,1.00) ~ (p=0.185)
BenchmarkRegexpMatchEasy0_32-4 161ns × (1.00,1.00) 161ns × (1.00,1.00) -0.19% (p=0.001)
BenchmarkRegexpMatchEasy0_1K 540ns × (0.99,1.02) 566ns × (0.98,1.04) +4.98% (p=0.000)
BenchmarkRegexpMatchEasy0_1K-2 540ns × (0.99,1.01) 557ns × (0.99,1.01) +3.21% (p=0.000)
BenchmarkRegexpMatchEasy0_1K-4 541ns × (0.99,1.01) 559ns × (0.99,1.01) +3.26% (p=0.000)
BenchmarkRegexpMatchEasy1_32 139ns × (0.98,1.04) 139ns × (0.99,1.03) ~ (p=0.979)
BenchmarkRegexpMatchEasy1_32-2 139ns × (0.99,1.04) 139ns × (0.99,1.02) ~ (p=0.777)
BenchmarkRegexpMatchEasy1_32-4 139ns × (0.98,1.04) 139ns × (0.99,1.04) ~ (p=0.771)
BenchmarkRegexpMatchEasy1_1K 890ns × (0.99,1.03) 885ns × (1.00,1.01) -0.50% (p=0.004)
BenchmarkRegexpMatchEasy1_1K-2 888ns × (0.99,1.01) 885ns × (0.99,1.01) -0.37% (p=0.004)
BenchmarkRegexpMatchEasy1_1K-4 890ns × (0.99,1.02) 884ns × (1.00,1.00) -0.70% (p=0.000)
BenchmarkRegexpMatchMedium_32 252ns × (0.99,1.01) 251ns × (0.99,1.01) ~ (p=0.081)
BenchmarkRegexpMatchMedium_32-2 254ns × (0.99,1.04) 252ns × (0.99,1.01) -0.78% (p=0.027)
BenchmarkRegexpMatchMedium_32-4 253ns × (0.99,1.04) 252ns × (0.99,1.01) -0.70% (p=0.022)
BenchmarkRegexpMatchMedium_1K 72.9µs × (0.99,1.01) 72.7µs × (1.00,1.00) ~ (p=0.064)
BenchmarkRegexpMatchMedium_1K-2 74.1µs × (0.98,1.05) 72.9µs × (1.00,1.01) -1.61% (p=0.001)
BenchmarkRegexpMatchMedium_1K-4 73.6µs × (0.99,1.05) 72.8µs × (1.00,1.00) -1.13% (p=0.007)
BenchmarkRegexpMatchHard_32 3.88µs × (0.99,1.03) 3.92µs × (0.98,1.05) ~ (p=0.143)
BenchmarkRegexpMatchHard_32-2 3.89µs × (0.99,1.03) 3.93µs × (0.98,1.09) ~ (p=0.278)
BenchmarkRegexpMatchHard_32-4 3.90µs × (0.99,1.05) 3.93µs × (0.98,1.05) ~ (p=0.252)
BenchmarkRegexpMatchHard_1K 118µs × (0.99,1.01) 117µs × (0.99,1.02) -0.54% (p=0.003)
BenchmarkRegexpMatchHard_1K-2 118µs × (0.99,1.01) 118µs × (0.99,1.03) ~ (p=0.581)
BenchmarkRegexpMatchHard_1K-4 118µs × (0.99,1.02) 117µs × (0.99,1.01) -0.54% (p=0.002)
BenchmarkRevcomp 991ms × (0.95,1.10) 989ms × (0.94,1.08) ~ (p=0.879)
BenchmarkRevcomp-2 978ms × (0.95,1.11) 962ms × (0.96,1.08) ~ (p=0.257)
BenchmarkRevcomp-4 979ms × (0.96,1.07) 974ms × (0.96,1.11) ~ (p=0.678)
BenchmarkTemplate 141ms × (0.99,1.02) 145ms × (0.99,1.02) +2.75% (p=0.000)
BenchmarkTemplate-2 135ms × (0.98,1.02) 138ms × (0.99,1.02) +2.34% (p=0.000)
BenchmarkTemplate-4 136ms × (0.98,1.02) 140ms × (0.99,1.02) +2.71% (p=0.000)
BenchmarkTimeParse 640ns × (0.99,1.01) 622ns × (0.99,1.01) -2.88% (p=0.000)
BenchmarkTimeParse-2 640ns × (0.99,1.01) 622ns × (1.00,1.00) -2.81% (p=0.000)
BenchmarkTimeParse-4 640ns × (1.00,1.01) 622ns × (0.99,1.01) -2.82% (p=0.000)
BenchmarkTimeFormat 730ns × (0.98,1.02) 731ns × (0.98,1.03) ~ (p=0.767)
BenchmarkTimeFormat-2 709ns × (0.99,1.02) 707ns × (0.99,1.02) ~ (p=0.347)
BenchmarkTimeFormat-4 717ns × (0.98,1.01) 718ns × (0.98,1.02) ~ (p=0.793)
Change-Id: Ie779c47e912bf80eb918bafa13638bd8dfd6c2d9
Reviewed-on: https://go-review.googlesource.com/9406
Reviewed-by: Rick Hudson <rlh@golang.org>
2015-04-27 20:45:57 -06:00
|
|
|
|
if bits == 0 {
|
2015-11-11 10:39:30 -07:00
|
|
|
|
i += sys.PtrSize * 8
|
cmd/internal/gc, runtime: use 1-bit bitmap for stack frames, data, bss
The bitmaps were 2 bits per pointer because we needed to distinguish
scalar, pointer, multiword, and we used the leftover value to distinguish
uninitialized from scalar, even though the garbage collector (GC) didn't care.
Now that there are no multiword structures from the GC's point of view,
cut the bitmaps down to 1 bit per pointer, recording just live pointer vs not.
The GC assumes the same layout for stack frames and for the maps
describing the global data and bss sections, so change them all in one CL.
The code still refers to 4-bit heap bitmaps and 2-bit "type bitmaps", since
the 2-bit representation lives (at least for now) in some of the reflect data.
Because these stack frame bitmaps are stored directly in the rodata in
the binary, this CL reduces the size of the 6g binary by about 1.1%.
Performance change is basically a wash, but using less memory,
and smaller binaries, and enables other bitmap reductions.
name old mean new mean delta
BenchmarkBinaryTree17 13.2s × (0.97,1.03) 13.0s × (0.99,1.01) -0.93% (p=0.005)
BenchmarkBinaryTree17-2 9.69s × (0.96,1.05) 9.51s × (0.96,1.03) -1.86% (p=0.001)
BenchmarkBinaryTree17-4 10.1s × (0.97,1.05) 10.0s × (0.96,1.05) ~ (p=0.141)
BenchmarkFannkuch11 4.35s × (0.99,1.01) 4.43s × (0.98,1.04) +1.75% (p=0.001)
BenchmarkFannkuch11-2 4.31s × (0.99,1.03) 4.32s × (1.00,1.00) ~ (p=0.095)
BenchmarkFannkuch11-4 4.32s × (0.99,1.02) 4.38s × (0.98,1.04) +1.38% (p=0.008)
BenchmarkFmtFprintfEmpty 83.5ns × (0.97,1.10) 87.3ns × (0.92,1.11) +4.55% (p=0.014)
BenchmarkFmtFprintfEmpty-2 81.8ns × (0.98,1.04) 82.5ns × (0.97,1.08) ~ (p=0.364)
BenchmarkFmtFprintfEmpty-4 80.9ns × (0.99,1.01) 82.6ns × (0.97,1.08) +2.12% (p=0.010)
BenchmarkFmtFprintfString 320ns × (0.95,1.04) 322ns × (0.97,1.05) ~ (p=0.368)
BenchmarkFmtFprintfString-2 303ns × (0.97,1.04) 304ns × (0.97,1.04) ~ (p=0.484)
BenchmarkFmtFprintfString-4 305ns × (0.97,1.05) 306ns × (0.98,1.05) ~ (p=0.543)
BenchmarkFmtFprintfInt 311ns × (0.98,1.03) 319ns × (0.97,1.03) +2.63% (p=0.000)
BenchmarkFmtFprintfInt-2 297ns × (0.98,1.04) 301ns × (0.97,1.04) +1.19% (p=0.023)
BenchmarkFmtFprintfInt-4 302ns × (0.98,1.02) 304ns × (0.97,1.03) ~ (p=0.126)
BenchmarkFmtFprintfIntInt 554ns × (0.96,1.05) 554ns × (0.97,1.03) ~ (p=0.975)
BenchmarkFmtFprintfIntInt-2 520ns × (0.98,1.03) 517ns × (0.98,1.02) ~ (p=0.153)
BenchmarkFmtFprintfIntInt-4 524ns × (0.98,1.02) 525ns × (0.98,1.03) ~ (p=0.597)
BenchmarkFmtFprintfPrefixedInt 433ns × (0.97,1.06) 434ns × (0.97,1.06) ~ (p=0.804)
BenchmarkFmtFprintfPrefixedInt-2 413ns × (0.98,1.04) 413ns × (0.98,1.03) ~ (p=0.881)
BenchmarkFmtFprintfPrefixedInt-4 420ns × (0.97,1.03) 421ns × (0.97,1.03) ~ (p=0.561)
BenchmarkFmtFprintfFloat 620ns × (0.99,1.03) 636ns × (0.97,1.03) +2.57% (p=0.000)
BenchmarkFmtFprintfFloat-2 601ns × (0.98,1.02) 617ns × (0.98,1.03) +2.58% (p=0.000)
BenchmarkFmtFprintfFloat-4 613ns × (0.98,1.03) 626ns × (0.98,1.02) +2.15% (p=0.000)
BenchmarkFmtManyArgs 2.19µs × (0.96,1.04) 2.23µs × (0.97,1.02) +1.65% (p=0.000)
BenchmarkFmtManyArgs-2 2.08µs × (0.98,1.03) 2.10µs × (0.99,1.02) +0.79% (p=0.019)
BenchmarkFmtManyArgs-4 2.10µs × (0.98,1.02) 2.13µs × (0.98,1.02) +1.72% (p=0.000)
BenchmarkGobDecode 21.3ms × (0.97,1.05) 21.1ms × (0.97,1.04) -1.36% (p=0.025)
BenchmarkGobDecode-2 20.0ms × (0.97,1.03) 19.2ms × (0.97,1.03) -4.00% (p=0.000)
BenchmarkGobDecode-4 19.5ms × (0.99,1.02) 19.0ms × (0.99,1.01) -2.39% (p=0.000)
BenchmarkGobEncode 18.3ms × (0.95,1.07) 18.1ms × (0.96,1.08) ~ (p=0.305)
BenchmarkGobEncode-2 16.8ms × (0.97,1.02) 16.4ms × (0.98,1.02) -2.79% (p=0.000)
BenchmarkGobEncode-4 15.4ms × (0.98,1.02) 15.4ms × (0.98,1.02) ~ (p=0.465)
BenchmarkGzip 650ms × (0.98,1.03) 655ms × (0.97,1.04) ~ (p=0.075)
BenchmarkGzip-2 652ms × (0.98,1.03) 655ms × (0.98,1.02) ~ (p=0.337)
BenchmarkGzip-4 656ms × (0.98,1.04) 653ms × (0.98,1.03) ~ (p=0.291)
BenchmarkGunzip 143ms × (1.00,1.01) 143ms × (1.00,1.01) ~ (p=0.507)
BenchmarkGunzip-2 143ms × (1.00,1.01) 143ms × (1.00,1.01) ~ (p=0.313)
BenchmarkGunzip-4 143ms × (1.00,1.01) 143ms × (1.00,1.01) ~ (p=0.312)
BenchmarkHTTPClientServer 110µs × (0.98,1.03) 109µs × (0.99,1.02) -1.40% (p=0.000)
BenchmarkHTTPClientServer-2 154µs × (0.90,1.08) 149µs × (0.90,1.08) -3.43% (p=0.007)
BenchmarkHTTPClientServer-4 138µs × (0.97,1.04) 138µs × (0.96,1.04) ~ (p=0.670)
BenchmarkJSONEncode 40.2ms × (0.98,1.02) 40.2ms × (0.98,1.05) ~ (p=0.828)
BenchmarkJSONEncode-2 35.1ms × (0.99,1.02) 35.2ms × (0.98,1.03) ~ (p=0.392)
BenchmarkJSONEncode-4 35.3ms × (0.98,1.03) 35.3ms × (0.98,1.02) ~ (p=0.813)
BenchmarkJSONDecode 119ms × (0.97,1.02) 117ms × (0.98,1.02) -1.80% (p=0.000)
BenchmarkJSONDecode-2 115ms × (0.99,1.02) 114ms × (0.98,1.02) -1.18% (p=0.000)
BenchmarkJSONDecode-4 116ms × (0.98,1.02) 114ms × (0.98,1.02) -1.43% (p=0.000)
BenchmarkMandelbrot200 6.03ms × (1.00,1.01) 6.03ms × (1.00,1.01) ~ (p=0.985)
BenchmarkMandelbrot200-2 6.03ms × (1.00,1.01) 6.02ms × (1.00,1.01) ~ (p=0.320)
BenchmarkMandelbrot200-4 6.03ms × (1.00,1.01) 6.03ms × (1.00,1.01) ~ (p=0.799)
BenchmarkGoParse 8.63ms × (0.89,1.10) 8.58ms × (0.93,1.09) ~ (p=0.667)
BenchmarkGoParse-2 8.20ms × (0.97,1.04) 8.37ms × (0.97,1.04) +1.96% (p=0.001)
BenchmarkGoParse-4 8.00ms × (0.98,1.02) 8.14ms × (0.99,1.02) +1.75% (p=0.000)
BenchmarkRegexpMatchEasy0_32 162ns × (1.00,1.01) 164ns × (0.98,1.04) +1.35% (p=0.011)
BenchmarkRegexpMatchEasy0_32-2 161ns × (1.00,1.01) 161ns × (1.00,1.00) ~ (p=0.185)
BenchmarkRegexpMatchEasy0_32-4 161ns × (1.00,1.00) 161ns × (1.00,1.00) -0.19% (p=0.001)
BenchmarkRegexpMatchEasy0_1K 540ns × (0.99,1.02) 566ns × (0.98,1.04) +4.98% (p=0.000)
BenchmarkRegexpMatchEasy0_1K-2 540ns × (0.99,1.01) 557ns × (0.99,1.01) +3.21% (p=0.000)
BenchmarkRegexpMatchEasy0_1K-4 541ns × (0.99,1.01) 559ns × (0.99,1.01) +3.26% (p=0.000)
BenchmarkRegexpMatchEasy1_32 139ns × (0.98,1.04) 139ns × (0.99,1.03) ~ (p=0.979)
BenchmarkRegexpMatchEasy1_32-2 139ns × (0.99,1.04) 139ns × (0.99,1.02) ~ (p=0.777)
BenchmarkRegexpMatchEasy1_32-4 139ns × (0.98,1.04) 139ns × (0.99,1.04) ~ (p=0.771)
BenchmarkRegexpMatchEasy1_1K 890ns × (0.99,1.03) 885ns × (1.00,1.01) -0.50% (p=0.004)
BenchmarkRegexpMatchEasy1_1K-2 888ns × (0.99,1.01) 885ns × (0.99,1.01) -0.37% (p=0.004)
BenchmarkRegexpMatchEasy1_1K-4 890ns × (0.99,1.02) 884ns × (1.00,1.00) -0.70% (p=0.000)
BenchmarkRegexpMatchMedium_32 252ns × (0.99,1.01) 251ns × (0.99,1.01) ~ (p=0.081)
BenchmarkRegexpMatchMedium_32-2 254ns × (0.99,1.04) 252ns × (0.99,1.01) -0.78% (p=0.027)
BenchmarkRegexpMatchMedium_32-4 253ns × (0.99,1.04) 252ns × (0.99,1.01) -0.70% (p=0.022)
BenchmarkRegexpMatchMedium_1K 72.9µs × (0.99,1.01) 72.7µs × (1.00,1.00) ~ (p=0.064)
BenchmarkRegexpMatchMedium_1K-2 74.1µs × (0.98,1.05) 72.9µs × (1.00,1.01) -1.61% (p=0.001)
BenchmarkRegexpMatchMedium_1K-4 73.6µs × (0.99,1.05) 72.8µs × (1.00,1.00) -1.13% (p=0.007)
BenchmarkRegexpMatchHard_32 3.88µs × (0.99,1.03) 3.92µs × (0.98,1.05) ~ (p=0.143)
BenchmarkRegexpMatchHard_32-2 3.89µs × (0.99,1.03) 3.93µs × (0.98,1.09) ~ (p=0.278)
BenchmarkRegexpMatchHard_32-4 3.90µs × (0.99,1.05) 3.93µs × (0.98,1.05) ~ (p=0.252)
BenchmarkRegexpMatchHard_1K 118µs × (0.99,1.01) 117µs × (0.99,1.02) -0.54% (p=0.003)
BenchmarkRegexpMatchHard_1K-2 118µs × (0.99,1.01) 118µs × (0.99,1.03) ~ (p=0.581)
BenchmarkRegexpMatchHard_1K-4 118µs × (0.99,1.02) 117µs × (0.99,1.01) -0.54% (p=0.002)
BenchmarkRevcomp 991ms × (0.95,1.10) 989ms × (0.94,1.08) ~ (p=0.879)
BenchmarkRevcomp-2 978ms × (0.95,1.11) 962ms × (0.96,1.08) ~ (p=0.257)
BenchmarkRevcomp-4 979ms × (0.96,1.07) 974ms × (0.96,1.11) ~ (p=0.678)
BenchmarkTemplate 141ms × (0.99,1.02) 145ms × (0.99,1.02) +2.75% (p=0.000)
BenchmarkTemplate-2 135ms × (0.98,1.02) 138ms × (0.99,1.02) +2.34% (p=0.000)
BenchmarkTemplate-4 136ms × (0.98,1.02) 140ms × (0.99,1.02) +2.71% (p=0.000)
BenchmarkTimeParse 640ns × (0.99,1.01) 622ns × (0.99,1.01) -2.88% (p=0.000)
BenchmarkTimeParse-2 640ns × (0.99,1.01) 622ns × (1.00,1.00) -2.81% (p=0.000)
BenchmarkTimeParse-4 640ns × (1.00,1.01) 622ns × (0.99,1.01) -2.82% (p=0.000)
BenchmarkTimeFormat 730ns × (0.98,1.02) 731ns × (0.98,1.03) ~ (p=0.767)
BenchmarkTimeFormat-2 709ns × (0.99,1.02) 707ns × (0.99,1.02) ~ (p=0.347)
BenchmarkTimeFormat-4 717ns × (0.98,1.01) 718ns × (0.98,1.02) ~ (p=0.793)
Change-Id: Ie779c47e912bf80eb918bafa13638bd8dfd6c2d9
Reviewed-on: https://go-review.googlesource.com/9406
Reviewed-by: Rick Hudson <rlh@golang.org>
2015-04-27 20:45:57 -06:00
|
|
|
|
continue
|
|
|
|
|
}
|
|
|
|
|
for j := 0; j < 8 && i < n; j++ {
|
|
|
|
|
if bits&1 != 0 {
|
|
|
|
|
// Same work as in scanobject; see comments there.
|
|
|
|
|
obj := *(*uintptr)(unsafe.Pointer(b + i))
|
|
|
|
|
if obj != 0 && arena_start <= obj && obj < arena_used {
|
2016-03-14 10:17:48 -06:00
|
|
|
|
if obj, hbits, span, objIndex := heapBitsForObject(obj, b, i); obj != 0 {
|
|
|
|
|
greyobject(obj, b, i, hbits, span, gcw, objIndex)
|
cmd/internal/gc, runtime: use 1-bit bitmap for stack frames, data, bss
The bitmaps were 2 bits per pointer because we needed to distinguish
scalar, pointer, multiword, and we used the leftover value to distinguish
uninitialized from scalar, even though the garbage collector (GC) didn't care.
Now that there are no multiword structures from the GC's point of view,
cut the bitmaps down to 1 bit per pointer, recording just live pointer vs not.
The GC assumes the same layout for stack frames and for the maps
describing the global data and bss sections, so change them all in one CL.
The code still refers to 4-bit heap bitmaps and 2-bit "type bitmaps", since
the 2-bit representation lives (at least for now) in some of the reflect data.
Because these stack frame bitmaps are stored directly in the rodata in
the binary, this CL reduces the size of the 6g binary by about 1.1%.
Performance change is basically a wash, but using less memory,
and smaller binaries, and enables other bitmap reductions.
name old mean new mean delta
BenchmarkBinaryTree17 13.2s × (0.97,1.03) 13.0s × (0.99,1.01) -0.93% (p=0.005)
BenchmarkBinaryTree17-2 9.69s × (0.96,1.05) 9.51s × (0.96,1.03) -1.86% (p=0.001)
BenchmarkBinaryTree17-4 10.1s × (0.97,1.05) 10.0s × (0.96,1.05) ~ (p=0.141)
BenchmarkFannkuch11 4.35s × (0.99,1.01) 4.43s × (0.98,1.04) +1.75% (p=0.001)
BenchmarkFannkuch11-2 4.31s × (0.99,1.03) 4.32s × (1.00,1.00) ~ (p=0.095)
BenchmarkFannkuch11-4 4.32s × (0.99,1.02) 4.38s × (0.98,1.04) +1.38% (p=0.008)
BenchmarkFmtFprintfEmpty 83.5ns × (0.97,1.10) 87.3ns × (0.92,1.11) +4.55% (p=0.014)
BenchmarkFmtFprintfEmpty-2 81.8ns × (0.98,1.04) 82.5ns × (0.97,1.08) ~ (p=0.364)
BenchmarkFmtFprintfEmpty-4 80.9ns × (0.99,1.01) 82.6ns × (0.97,1.08) +2.12% (p=0.010)
BenchmarkFmtFprintfString 320ns × (0.95,1.04) 322ns × (0.97,1.05) ~ (p=0.368)
BenchmarkFmtFprintfString-2 303ns × (0.97,1.04) 304ns × (0.97,1.04) ~ (p=0.484)
BenchmarkFmtFprintfString-4 305ns × (0.97,1.05) 306ns × (0.98,1.05) ~ (p=0.543)
BenchmarkFmtFprintfInt 311ns × (0.98,1.03) 319ns × (0.97,1.03) +2.63% (p=0.000)
BenchmarkFmtFprintfInt-2 297ns × (0.98,1.04) 301ns × (0.97,1.04) +1.19% (p=0.023)
BenchmarkFmtFprintfInt-4 302ns × (0.98,1.02) 304ns × (0.97,1.03) ~ (p=0.126)
BenchmarkFmtFprintfIntInt 554ns × (0.96,1.05) 554ns × (0.97,1.03) ~ (p=0.975)
BenchmarkFmtFprintfIntInt-2 520ns × (0.98,1.03) 517ns × (0.98,1.02) ~ (p=0.153)
BenchmarkFmtFprintfIntInt-4 524ns × (0.98,1.02) 525ns × (0.98,1.03) ~ (p=0.597)
BenchmarkFmtFprintfPrefixedInt 433ns × (0.97,1.06) 434ns × (0.97,1.06) ~ (p=0.804)
BenchmarkFmtFprintfPrefixedInt-2 413ns × (0.98,1.04) 413ns × (0.98,1.03) ~ (p=0.881)
BenchmarkFmtFprintfPrefixedInt-4 420ns × (0.97,1.03) 421ns × (0.97,1.03) ~ (p=0.561)
BenchmarkFmtFprintfFloat 620ns × (0.99,1.03) 636ns × (0.97,1.03) +2.57% (p=0.000)
BenchmarkFmtFprintfFloat-2 601ns × (0.98,1.02) 617ns × (0.98,1.03) +2.58% (p=0.000)
BenchmarkFmtFprintfFloat-4 613ns × (0.98,1.03) 626ns × (0.98,1.02) +2.15% (p=0.000)
BenchmarkFmtManyArgs 2.19µs × (0.96,1.04) 2.23µs × (0.97,1.02) +1.65% (p=0.000)
BenchmarkFmtManyArgs-2 2.08µs × (0.98,1.03) 2.10µs × (0.99,1.02) +0.79% (p=0.019)
BenchmarkFmtManyArgs-4 2.10µs × (0.98,1.02) 2.13µs × (0.98,1.02) +1.72% (p=0.000)
BenchmarkGobDecode 21.3ms × (0.97,1.05) 21.1ms × (0.97,1.04) -1.36% (p=0.025)
BenchmarkGobDecode-2 20.0ms × (0.97,1.03) 19.2ms × (0.97,1.03) -4.00% (p=0.000)
BenchmarkGobDecode-4 19.5ms × (0.99,1.02) 19.0ms × (0.99,1.01) -2.39% (p=0.000)
BenchmarkGobEncode 18.3ms × (0.95,1.07) 18.1ms × (0.96,1.08) ~ (p=0.305)
BenchmarkGobEncode-2 16.8ms × (0.97,1.02) 16.4ms × (0.98,1.02) -2.79% (p=0.000)
BenchmarkGobEncode-4 15.4ms × (0.98,1.02) 15.4ms × (0.98,1.02) ~ (p=0.465)
BenchmarkGzip 650ms × (0.98,1.03) 655ms × (0.97,1.04) ~ (p=0.075)
BenchmarkGzip-2 652ms × (0.98,1.03) 655ms × (0.98,1.02) ~ (p=0.337)
BenchmarkGzip-4 656ms × (0.98,1.04) 653ms × (0.98,1.03) ~ (p=0.291)
BenchmarkGunzip 143ms × (1.00,1.01) 143ms × (1.00,1.01) ~ (p=0.507)
BenchmarkGunzip-2 143ms × (1.00,1.01) 143ms × (1.00,1.01) ~ (p=0.313)
BenchmarkGunzip-4 143ms × (1.00,1.01) 143ms × (1.00,1.01) ~ (p=0.312)
BenchmarkHTTPClientServer 110µs × (0.98,1.03) 109µs × (0.99,1.02) -1.40% (p=0.000)
BenchmarkHTTPClientServer-2 154µs × (0.90,1.08) 149µs × (0.90,1.08) -3.43% (p=0.007)
BenchmarkHTTPClientServer-4 138µs × (0.97,1.04) 138µs × (0.96,1.04) ~ (p=0.670)
BenchmarkJSONEncode 40.2ms × (0.98,1.02) 40.2ms × (0.98,1.05) ~ (p=0.828)
BenchmarkJSONEncode-2 35.1ms × (0.99,1.02) 35.2ms × (0.98,1.03) ~ (p=0.392)
BenchmarkJSONEncode-4 35.3ms × (0.98,1.03) 35.3ms × (0.98,1.02) ~ (p=0.813)
BenchmarkJSONDecode 119ms × (0.97,1.02) 117ms × (0.98,1.02) -1.80% (p=0.000)
BenchmarkJSONDecode-2 115ms × (0.99,1.02) 114ms × (0.98,1.02) -1.18% (p=0.000)
BenchmarkJSONDecode-4 116ms × (0.98,1.02) 114ms × (0.98,1.02) -1.43% (p=0.000)
BenchmarkMandelbrot200 6.03ms × (1.00,1.01) 6.03ms × (1.00,1.01) ~ (p=0.985)
BenchmarkMandelbrot200-2 6.03ms × (1.00,1.01) 6.02ms × (1.00,1.01) ~ (p=0.320)
BenchmarkMandelbrot200-4 6.03ms × (1.00,1.01) 6.03ms × (1.00,1.01) ~ (p=0.799)
BenchmarkGoParse 8.63ms × (0.89,1.10) 8.58ms × (0.93,1.09) ~ (p=0.667)
BenchmarkGoParse-2 8.20ms × (0.97,1.04) 8.37ms × (0.97,1.04) +1.96% (p=0.001)
BenchmarkGoParse-4 8.00ms × (0.98,1.02) 8.14ms × (0.99,1.02) +1.75% (p=0.000)
BenchmarkRegexpMatchEasy0_32 162ns × (1.00,1.01) 164ns × (0.98,1.04) +1.35% (p=0.011)
BenchmarkRegexpMatchEasy0_32-2 161ns × (1.00,1.01) 161ns × (1.00,1.00) ~ (p=0.185)
BenchmarkRegexpMatchEasy0_32-4 161ns × (1.00,1.00) 161ns × (1.00,1.00) -0.19% (p=0.001)
BenchmarkRegexpMatchEasy0_1K 540ns × (0.99,1.02) 566ns × (0.98,1.04) +4.98% (p=0.000)
BenchmarkRegexpMatchEasy0_1K-2 540ns × (0.99,1.01) 557ns × (0.99,1.01) +3.21% (p=0.000)
BenchmarkRegexpMatchEasy0_1K-4 541ns × (0.99,1.01) 559ns × (0.99,1.01) +3.26% (p=0.000)
BenchmarkRegexpMatchEasy1_32 139ns × (0.98,1.04) 139ns × (0.99,1.03) ~ (p=0.979)
BenchmarkRegexpMatchEasy1_32-2 139ns × (0.99,1.04) 139ns × (0.99,1.02) ~ (p=0.777)
BenchmarkRegexpMatchEasy1_32-4 139ns × (0.98,1.04) 139ns × (0.99,1.04) ~ (p=0.771)
BenchmarkRegexpMatchEasy1_1K 890ns × (0.99,1.03) 885ns × (1.00,1.01) -0.50% (p=0.004)
BenchmarkRegexpMatchEasy1_1K-2 888ns × (0.99,1.01) 885ns × (0.99,1.01) -0.37% (p=0.004)
BenchmarkRegexpMatchEasy1_1K-4 890ns × (0.99,1.02) 884ns × (1.00,1.00) -0.70% (p=0.000)
BenchmarkRegexpMatchMedium_32 252ns × (0.99,1.01) 251ns × (0.99,1.01) ~ (p=0.081)
BenchmarkRegexpMatchMedium_32-2 254ns × (0.99,1.04) 252ns × (0.99,1.01) -0.78% (p=0.027)
BenchmarkRegexpMatchMedium_32-4 253ns × (0.99,1.04) 252ns × (0.99,1.01) -0.70% (p=0.022)
BenchmarkRegexpMatchMedium_1K 72.9µs × (0.99,1.01) 72.7µs × (1.00,1.00) ~ (p=0.064)
BenchmarkRegexpMatchMedium_1K-2 74.1µs × (0.98,1.05) 72.9µs × (1.00,1.01) -1.61% (p=0.001)
BenchmarkRegexpMatchMedium_1K-4 73.6µs × (0.99,1.05) 72.8µs × (1.00,1.00) -1.13% (p=0.007)
BenchmarkRegexpMatchHard_32 3.88µs × (0.99,1.03) 3.92µs × (0.98,1.05) ~ (p=0.143)
BenchmarkRegexpMatchHard_32-2 3.89µs × (0.99,1.03) 3.93µs × (0.98,1.09) ~ (p=0.278)
BenchmarkRegexpMatchHard_32-4 3.90µs × (0.99,1.05) 3.93µs × (0.98,1.05) ~ (p=0.252)
BenchmarkRegexpMatchHard_1K 118µs × (0.99,1.01) 117µs × (0.99,1.02) -0.54% (p=0.003)
BenchmarkRegexpMatchHard_1K-2 118µs × (0.99,1.01) 118µs × (0.99,1.03) ~ (p=0.581)
BenchmarkRegexpMatchHard_1K-4 118µs × (0.99,1.02) 117µs × (0.99,1.01) -0.54% (p=0.002)
BenchmarkRevcomp 991ms × (0.95,1.10) 989ms × (0.94,1.08) ~ (p=0.879)
BenchmarkRevcomp-2 978ms × (0.95,1.11) 962ms × (0.96,1.08) ~ (p=0.257)
BenchmarkRevcomp-4 979ms × (0.96,1.07) 974ms × (0.96,1.11) ~ (p=0.678)
BenchmarkTemplate 141ms × (0.99,1.02) 145ms × (0.99,1.02) +2.75% (p=0.000)
BenchmarkTemplate-2 135ms × (0.98,1.02) 138ms × (0.99,1.02) +2.34% (p=0.000)
BenchmarkTemplate-4 136ms × (0.98,1.02) 140ms × (0.99,1.02) +2.71% (p=0.000)
BenchmarkTimeParse 640ns × (0.99,1.01) 622ns × (0.99,1.01) -2.88% (p=0.000)
BenchmarkTimeParse-2 640ns × (0.99,1.01) 622ns × (1.00,1.00) -2.81% (p=0.000)
BenchmarkTimeParse-4 640ns × (1.00,1.01) 622ns × (0.99,1.01) -2.82% (p=0.000)
BenchmarkTimeFormat 730ns × (0.98,1.02) 731ns × (0.98,1.03) ~ (p=0.767)
BenchmarkTimeFormat-2 709ns × (0.99,1.02) 707ns × (0.99,1.02) ~ (p=0.347)
BenchmarkTimeFormat-4 717ns × (0.98,1.01) 718ns × (0.98,1.02) ~ (p=0.793)
Change-Id: Ie779c47e912bf80eb918bafa13638bd8dfd6c2d9
Reviewed-on: https://go-review.googlesource.com/9406
Reviewed-by: Rick Hudson <rlh@golang.org>
2015-04-27 20:45:57 -06:00
|
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
bits >>= 1
|
2015-11-11 10:39:30 -07:00
|
|
|
|
i += sys.PtrSize
|
2015-02-19 11:38:46 -07:00
|
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
|
cmd/internal/gc, runtime: use 1-bit bitmap for stack frames, data, bss
The bitmaps were 2 bits per pointer because we needed to distinguish
scalar, pointer, multiword, and we used the leftover value to distinguish
uninitialized from scalar, even though the garbage collector (GC) didn't care.
Now that there are no multiword structures from the GC's point of view,
cut the bitmaps down to 1 bit per pointer, recording just live pointer vs not.
The GC assumes the same layout for stack frames and for the maps
describing the global data and bss sections, so change them all in one CL.
The code still refers to 4-bit heap bitmaps and 2-bit "type bitmaps", since
the 2-bit representation lives (at least for now) in some of the reflect data.
Because these stack frame bitmaps are stored directly in the rodata in
the binary, this CL reduces the size of the 6g binary by about 1.1%.
Performance change is basically a wash, but using less memory,
and smaller binaries, and enables other bitmap reductions.
name old mean new mean delta
BenchmarkBinaryTree17 13.2s × (0.97,1.03) 13.0s × (0.99,1.01) -0.93% (p=0.005)
BenchmarkBinaryTree17-2 9.69s × (0.96,1.05) 9.51s × (0.96,1.03) -1.86% (p=0.001)
BenchmarkBinaryTree17-4 10.1s × (0.97,1.05) 10.0s × (0.96,1.05) ~ (p=0.141)
BenchmarkFannkuch11 4.35s × (0.99,1.01) 4.43s × (0.98,1.04) +1.75% (p=0.001)
BenchmarkFannkuch11-2 4.31s × (0.99,1.03) 4.32s × (1.00,1.00) ~ (p=0.095)
BenchmarkFannkuch11-4 4.32s × (0.99,1.02) 4.38s × (0.98,1.04) +1.38% (p=0.008)
BenchmarkFmtFprintfEmpty 83.5ns × (0.97,1.10) 87.3ns × (0.92,1.11) +4.55% (p=0.014)
BenchmarkFmtFprintfEmpty-2 81.8ns × (0.98,1.04) 82.5ns × (0.97,1.08) ~ (p=0.364)
BenchmarkFmtFprintfEmpty-4 80.9ns × (0.99,1.01) 82.6ns × (0.97,1.08) +2.12% (p=0.010)
BenchmarkFmtFprintfString 320ns × (0.95,1.04) 322ns × (0.97,1.05) ~ (p=0.368)
BenchmarkFmtFprintfString-2 303ns × (0.97,1.04) 304ns × (0.97,1.04) ~ (p=0.484)
BenchmarkFmtFprintfString-4 305ns × (0.97,1.05) 306ns × (0.98,1.05) ~ (p=0.543)
BenchmarkFmtFprintfInt 311ns × (0.98,1.03) 319ns × (0.97,1.03) +2.63% (p=0.000)
BenchmarkFmtFprintfInt-2 297ns × (0.98,1.04) 301ns × (0.97,1.04) +1.19% (p=0.023)
BenchmarkFmtFprintfInt-4 302ns × (0.98,1.02) 304ns × (0.97,1.03) ~ (p=0.126)
BenchmarkFmtFprintfIntInt 554ns × (0.96,1.05) 554ns × (0.97,1.03) ~ (p=0.975)
BenchmarkFmtFprintfIntInt-2 520ns × (0.98,1.03) 517ns × (0.98,1.02) ~ (p=0.153)
BenchmarkFmtFprintfIntInt-4 524ns × (0.98,1.02) 525ns × (0.98,1.03) ~ (p=0.597)
BenchmarkFmtFprintfPrefixedInt 433ns × (0.97,1.06) 434ns × (0.97,1.06) ~ (p=0.804)
BenchmarkFmtFprintfPrefixedInt-2 413ns × (0.98,1.04) 413ns × (0.98,1.03) ~ (p=0.881)
BenchmarkFmtFprintfPrefixedInt-4 420ns × (0.97,1.03) 421ns × (0.97,1.03) ~ (p=0.561)
BenchmarkFmtFprintfFloat 620ns × (0.99,1.03) 636ns × (0.97,1.03) +2.57% (p=0.000)
BenchmarkFmtFprintfFloat-2 601ns × (0.98,1.02) 617ns × (0.98,1.03) +2.58% (p=0.000)
BenchmarkFmtFprintfFloat-4 613ns × (0.98,1.03) 626ns × (0.98,1.02) +2.15% (p=0.000)
BenchmarkFmtManyArgs 2.19µs × (0.96,1.04) 2.23µs × (0.97,1.02) +1.65% (p=0.000)
BenchmarkFmtManyArgs-2 2.08µs × (0.98,1.03) 2.10µs × (0.99,1.02) +0.79% (p=0.019)
BenchmarkFmtManyArgs-4 2.10µs × (0.98,1.02) 2.13µs × (0.98,1.02) +1.72% (p=0.000)
BenchmarkGobDecode 21.3ms × (0.97,1.05) 21.1ms × (0.97,1.04) -1.36% (p=0.025)
BenchmarkGobDecode-2 20.0ms × (0.97,1.03) 19.2ms × (0.97,1.03) -4.00% (p=0.000)
BenchmarkGobDecode-4 19.5ms × (0.99,1.02) 19.0ms × (0.99,1.01) -2.39% (p=0.000)
BenchmarkGobEncode 18.3ms × (0.95,1.07) 18.1ms × (0.96,1.08) ~ (p=0.305)
BenchmarkGobEncode-2 16.8ms × (0.97,1.02) 16.4ms × (0.98,1.02) -2.79% (p=0.000)
BenchmarkGobEncode-4 15.4ms × (0.98,1.02) 15.4ms × (0.98,1.02) ~ (p=0.465)
BenchmarkGzip 650ms × (0.98,1.03) 655ms × (0.97,1.04) ~ (p=0.075)
BenchmarkGzip-2 652ms × (0.98,1.03) 655ms × (0.98,1.02) ~ (p=0.337)
BenchmarkGzip-4 656ms × (0.98,1.04) 653ms × (0.98,1.03) ~ (p=0.291)
BenchmarkGunzip 143ms × (1.00,1.01) 143ms × (1.00,1.01) ~ (p=0.507)
BenchmarkGunzip-2 143ms × (1.00,1.01) 143ms × (1.00,1.01) ~ (p=0.313)
BenchmarkGunzip-4 143ms × (1.00,1.01) 143ms × (1.00,1.01) ~ (p=0.312)
BenchmarkHTTPClientServer 110µs × (0.98,1.03) 109µs × (0.99,1.02) -1.40% (p=0.000)
BenchmarkHTTPClientServer-2 154µs × (0.90,1.08) 149µs × (0.90,1.08) -3.43% (p=0.007)
BenchmarkHTTPClientServer-4 138µs × (0.97,1.04) 138µs × (0.96,1.04) ~ (p=0.670)
BenchmarkJSONEncode 40.2ms × (0.98,1.02) 40.2ms × (0.98,1.05) ~ (p=0.828)
BenchmarkJSONEncode-2 35.1ms × (0.99,1.02) 35.2ms × (0.98,1.03) ~ (p=0.392)
BenchmarkJSONEncode-4 35.3ms × (0.98,1.03) 35.3ms × (0.98,1.02) ~ (p=0.813)
BenchmarkJSONDecode 119ms × (0.97,1.02) 117ms × (0.98,1.02) -1.80% (p=0.000)
BenchmarkJSONDecode-2 115ms × (0.99,1.02) 114ms × (0.98,1.02) -1.18% (p=0.000)
BenchmarkJSONDecode-4 116ms × (0.98,1.02) 114ms × (0.98,1.02) -1.43% (p=0.000)
BenchmarkMandelbrot200 6.03ms × (1.00,1.01) 6.03ms × (1.00,1.01) ~ (p=0.985)
BenchmarkMandelbrot200-2 6.03ms × (1.00,1.01) 6.02ms × (1.00,1.01) ~ (p=0.320)
BenchmarkMandelbrot200-4 6.03ms × (1.00,1.01) 6.03ms × (1.00,1.01) ~ (p=0.799)
BenchmarkGoParse 8.63ms × (0.89,1.10) 8.58ms × (0.93,1.09) ~ (p=0.667)
BenchmarkGoParse-2 8.20ms × (0.97,1.04) 8.37ms × (0.97,1.04) +1.96% (p=0.001)
BenchmarkGoParse-4 8.00ms × (0.98,1.02) 8.14ms × (0.99,1.02) +1.75% (p=0.000)
BenchmarkRegexpMatchEasy0_32 162ns × (1.00,1.01) 164ns × (0.98,1.04) +1.35% (p=0.011)
BenchmarkRegexpMatchEasy0_32-2 161ns × (1.00,1.01) 161ns × (1.00,1.00) ~ (p=0.185)
BenchmarkRegexpMatchEasy0_32-4 161ns × (1.00,1.00) 161ns × (1.00,1.00) -0.19% (p=0.001)
BenchmarkRegexpMatchEasy0_1K 540ns × (0.99,1.02) 566ns × (0.98,1.04) +4.98% (p=0.000)
BenchmarkRegexpMatchEasy0_1K-2 540ns × (0.99,1.01) 557ns × (0.99,1.01) +3.21% (p=0.000)
BenchmarkRegexpMatchEasy0_1K-4 541ns × (0.99,1.01) 559ns × (0.99,1.01) +3.26% (p=0.000)
BenchmarkRegexpMatchEasy1_32 139ns × (0.98,1.04) 139ns × (0.99,1.03) ~ (p=0.979)
BenchmarkRegexpMatchEasy1_32-2 139ns × (0.99,1.04) 139ns × (0.99,1.02) ~ (p=0.777)
BenchmarkRegexpMatchEasy1_32-4 139ns × (0.98,1.04) 139ns × (0.99,1.04) ~ (p=0.771)
BenchmarkRegexpMatchEasy1_1K 890ns × (0.99,1.03) 885ns × (1.00,1.01) -0.50% (p=0.004)
BenchmarkRegexpMatchEasy1_1K-2 888ns × (0.99,1.01) 885ns × (0.99,1.01) -0.37% (p=0.004)
BenchmarkRegexpMatchEasy1_1K-4 890ns × (0.99,1.02) 884ns × (1.00,1.00) -0.70% (p=0.000)
BenchmarkRegexpMatchMedium_32 252ns × (0.99,1.01) 251ns × (0.99,1.01) ~ (p=0.081)
BenchmarkRegexpMatchMedium_32-2 254ns × (0.99,1.04) 252ns × (0.99,1.01) -0.78% (p=0.027)
BenchmarkRegexpMatchMedium_32-4 253ns × (0.99,1.04) 252ns × (0.99,1.01) -0.70% (p=0.022)
BenchmarkRegexpMatchMedium_1K 72.9µs × (0.99,1.01) 72.7µs × (1.00,1.00) ~ (p=0.064)
BenchmarkRegexpMatchMedium_1K-2 74.1µs × (0.98,1.05) 72.9µs × (1.00,1.01) -1.61% (p=0.001)
BenchmarkRegexpMatchMedium_1K-4 73.6µs × (0.99,1.05) 72.8µs × (1.00,1.00) -1.13% (p=0.007)
BenchmarkRegexpMatchHard_32 3.88µs × (0.99,1.03) 3.92µs × (0.98,1.05) ~ (p=0.143)
BenchmarkRegexpMatchHard_32-2 3.89µs × (0.99,1.03) 3.93µs × (0.98,1.09) ~ (p=0.278)
BenchmarkRegexpMatchHard_32-4 3.90µs × (0.99,1.05) 3.93µs × (0.98,1.05) ~ (p=0.252)
BenchmarkRegexpMatchHard_1K 118µs × (0.99,1.01) 117µs × (0.99,1.02) -0.54% (p=0.003)
BenchmarkRegexpMatchHard_1K-2 118µs × (0.99,1.01) 118µs × (0.99,1.03) ~ (p=0.581)
BenchmarkRegexpMatchHard_1K-4 118µs × (0.99,1.02) 117µs × (0.99,1.01) -0.54% (p=0.002)
BenchmarkRevcomp 991ms × (0.95,1.10) 989ms × (0.94,1.08) ~ (p=0.879)
BenchmarkRevcomp-2 978ms × (0.95,1.11) 962ms × (0.96,1.08) ~ (p=0.257)
BenchmarkRevcomp-4 979ms × (0.96,1.07) 974ms × (0.96,1.11) ~ (p=0.678)
BenchmarkTemplate 141ms × (0.99,1.02) 145ms × (0.99,1.02) +2.75% (p=0.000)
BenchmarkTemplate-2 135ms × (0.98,1.02) 138ms × (0.99,1.02) +2.34% (p=0.000)
BenchmarkTemplate-4 136ms × (0.98,1.02) 140ms × (0.99,1.02) +2.71% (p=0.000)
BenchmarkTimeParse 640ns × (0.99,1.01) 622ns × (0.99,1.01) -2.88% (p=0.000)
BenchmarkTimeParse-2 640ns × (0.99,1.01) 622ns × (1.00,1.00) -2.81% (p=0.000)
BenchmarkTimeParse-4 640ns × (1.00,1.01) 622ns × (0.99,1.01) -2.82% (p=0.000)
BenchmarkTimeFormat 730ns × (0.98,1.02) 731ns × (0.98,1.03) ~ (p=0.767)
BenchmarkTimeFormat-2 709ns × (0.99,1.02) 707ns × (0.99,1.02) ~ (p=0.347)
BenchmarkTimeFormat-4 717ns × (0.98,1.01) 718ns × (0.98,1.02) ~ (p=0.793)
Change-Id: Ie779c47e912bf80eb918bafa13638bd8dfd6c2d9
Reviewed-on: https://go-review.googlesource.com/9406
Reviewed-by: Rick Hudson <rlh@golang.org>
2015-04-27 20:45:57 -06:00
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// scanobject scans the object starting at b, adding pointers to gcw.
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runtime: bound scanobject to ~100 µs
Currently the time spent in scanobject is proportional to the size of
the object being scanned. Since scanobject is non-preemptible, large
objects can cause significant goroutine (and even whole application)
delays through several means:
1. If a GC assist picks up a large object, the allocating goroutine is
blocked for the whole scan, even if that scan well exceeds that
goroutine's debt.
2. Since the scheduler does not run on the P performing a large object
scan, goroutines in that P's run queue do not run unless they are
stolen by another P (which can take some time). If there are a few
large objects, all of the Ps may get tied up so the scheduler
doesn't run anywhere.
3. Even if a large object is scanned by a background worker and other
Ps are still running the scheduler, the large object scan doesn't
flush background credit until the whole scan is done. This can
easily cause all allocations to block in assists, waiting for
credit, causing an effective STW.
Fix this by splitting large objects into 128 KB "oblets" and scanning
at most one oblet at a time. Since we can scan 1–2 MB/ms, this equates
to bounding scanobject at roughly 100 µs. This improves assist
behavior both because assists can no longer get "unlucky" and be stuck
scanning a large object, and because it causes the background worker
to flush credit and unblock assists more frequently when scanning
large objects. This also improves GC parallelism if the heap consists
primarily of a small number of very large objects by letting multiple
workers scan a large objects in parallel.
Fixes #10345. Fixes #16293.
This substantially improves goroutine latency in the benchmark from
issue #16293, which exercises several forms of very large objects:
name old max-latency new max-latency delta
SliceNoPointer-12 154µs ± 1% 155µs ± 2% ~ (p=0.087 n=13+12)
SlicePointer-12 314ms ± 1% 5.94ms ±138% -98.11% (p=0.000 n=19+20)
SliceLivePointer-12 1148ms ± 0% 4.72ms ±167% -99.59% (p=0.000 n=19+20)
MapNoPointer-12 72509µs ± 1% 408µs ±325% -99.44% (p=0.000 n=19+18)
ChanPointer-12 313ms ± 0% 4.74ms ±140% -98.49% (p=0.000 n=18+20)
ChanLivePointer-12 1147ms ± 0% 3.30ms ±149% -99.71% (p=0.000 n=19+20)
name old P99.9-latency new P99.9-latency delta
SliceNoPointer-12 113µs ±25% 107µs ±12% ~ (p=0.153 n=20+18)
SlicePointer-12 309450µs ± 0% 133µs ±23% -99.96% (p=0.000 n=20+20)
SliceLivePointer-12 961ms ± 0% 1.35ms ±27% -99.86% (p=0.000 n=20+20)
MapNoPointer-12 448µs ±288% 119µs ±18% -73.34% (p=0.000 n=18+20)
ChanPointer-12 309450µs ± 0% 134µs ±23% -99.96% (p=0.000 n=20+19)
ChanLivePointer-12 961ms ± 0% 1.35ms ±27% -99.86% (p=0.000 n=20+20)
This has negligible effect on all metrics from the garbage, JSON, and
HTTP x/benchmarks.
It shows slight improvement on some of the go1 benchmarks,
particularly Revcomp, which uses some multi-megabyte buffers:
name old time/op new time/op delta
BinaryTree17-12 2.46s ± 1% 2.47s ± 1% +0.32% (p=0.012 n=20+20)
Fannkuch11-12 2.82s ± 0% 2.81s ± 0% -0.61% (p=0.000 n=17+20)
FmtFprintfEmpty-12 50.8ns ± 5% 50.5ns ± 2% ~ (p=0.197 n=17+19)
FmtFprintfString-12 131ns ± 1% 132ns ± 0% +0.57% (p=0.000 n=20+16)
FmtFprintfInt-12 117ns ± 0% 116ns ± 0% -0.47% (p=0.000 n=15+20)
FmtFprintfIntInt-12 180ns ± 0% 179ns ± 1% -0.78% (p=0.000 n=16+20)
FmtFprintfPrefixedInt-12 186ns ± 1% 185ns ± 1% -0.55% (p=0.000 n=19+20)
FmtFprintfFloat-12 263ns ± 1% 271ns ± 0% +2.84% (p=0.000 n=18+20)
FmtManyArgs-12 741ns ± 1% 742ns ± 1% ~ (p=0.190 n=19+19)
GobDecode-12 7.44ms ± 0% 7.35ms ± 1% -1.21% (p=0.000 n=20+20)
GobEncode-12 6.22ms ± 1% 6.21ms ± 1% ~ (p=0.336 n=20+19)
Gzip-12 220ms ± 1% 219ms ± 1% ~ (p=0.130 n=19+19)
Gunzip-12 37.9ms ± 0% 37.9ms ± 1% ~ (p=1.000 n=20+19)
HTTPClientServer-12 82.5µs ± 3% 82.6µs ± 3% ~ (p=0.776 n=20+19)
JSONEncode-12 16.4ms ± 1% 16.5ms ± 2% +0.49% (p=0.003 n=18+19)
JSONDecode-12 53.7ms ± 1% 54.1ms ± 1% +0.71% (p=0.000 n=19+18)
Mandelbrot200-12 4.19ms ± 1% 4.20ms ± 1% ~ (p=0.452 n=19+19)
GoParse-12 3.38ms ± 1% 3.37ms ± 1% ~ (p=0.123 n=19+19)
RegexpMatchEasy0_32-12 72.1ns ± 1% 71.8ns ± 1% ~ (p=0.397 n=19+17)
RegexpMatchEasy0_1K-12 242ns ± 0% 242ns ± 0% ~ (p=0.168 n=17+20)
RegexpMatchEasy1_32-12 72.1ns ± 1% 72.1ns ± 1% ~ (p=0.538 n=18+19)
RegexpMatchEasy1_1K-12 385ns ± 1% 384ns ± 1% ~ (p=0.388 n=20+20)
RegexpMatchMedium_32-12 112ns ± 1% 112ns ± 3% ~ (p=0.539 n=20+20)
RegexpMatchMedium_1K-12 34.4µs ± 2% 34.4µs ± 2% ~ (p=0.628 n=18+18)
RegexpMatchHard_32-12 1.80µs ± 1% 1.80µs ± 1% ~ (p=0.522 n=18+19)
RegexpMatchHard_1K-12 54.0µs ± 1% 54.1µs ± 1% ~ (p=0.647 n=20+19)
Revcomp-12 387ms ± 1% 369ms ± 5% -4.89% (p=0.000 n=17+19)
Template-12 62.3ms ± 1% 62.0ms ± 0% -0.48% (p=0.002 n=20+17)
TimeParse-12 314ns ± 1% 314ns ± 0% ~ (p=1.011 n=20+13)
TimeFormat-12 358ns ± 0% 354ns ± 0% -1.12% (p=0.000 n=17+20)
[Geo mean] 53.5µs 53.3µs -0.23%
Change-Id: I2a0a179d1d6bf7875dd054b7693dd12d2a340132
Reviewed-on: https://go-review.googlesource.com/23540
Run-TryBot: Austin Clements <austin@google.com>
TryBot-Result: Gobot Gobot <gobot@golang.org>
Reviewed-by: Rick Hudson <rlh@golang.org>
2016-05-27 19:04:40 -06:00
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// b must point to the beginning of a heap object or an oblet.
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// scanobject consults the GC bitmap for the pointer mask and the
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// spans for the size of the object.
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//
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2015-02-19 11:38:46 -07:00
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//go:nowritebarrier
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cmd/internal/gc, runtime: use 1-bit bitmap for stack frames, data, bss
The bitmaps were 2 bits per pointer because we needed to distinguish
scalar, pointer, multiword, and we used the leftover value to distinguish
uninitialized from scalar, even though the garbage collector (GC) didn't care.
Now that there are no multiword structures from the GC's point of view,
cut the bitmaps down to 1 bit per pointer, recording just live pointer vs not.
The GC assumes the same layout for stack frames and for the maps
describing the global data and bss sections, so change them all in one CL.
The code still refers to 4-bit heap bitmaps and 2-bit "type bitmaps", since
the 2-bit representation lives (at least for now) in some of the reflect data.
Because these stack frame bitmaps are stored directly in the rodata in
the binary, this CL reduces the size of the 6g binary by about 1.1%.
Performance change is basically a wash, but using less memory,
and smaller binaries, and enables other bitmap reductions.
name old mean new mean delta
BenchmarkBinaryTree17 13.2s × (0.97,1.03) 13.0s × (0.99,1.01) -0.93% (p=0.005)
BenchmarkBinaryTree17-2 9.69s × (0.96,1.05) 9.51s × (0.96,1.03) -1.86% (p=0.001)
BenchmarkBinaryTree17-4 10.1s × (0.97,1.05) 10.0s × (0.96,1.05) ~ (p=0.141)
BenchmarkFannkuch11 4.35s × (0.99,1.01) 4.43s × (0.98,1.04) +1.75% (p=0.001)
BenchmarkFannkuch11-2 4.31s × (0.99,1.03) 4.32s × (1.00,1.00) ~ (p=0.095)
BenchmarkFannkuch11-4 4.32s × (0.99,1.02) 4.38s × (0.98,1.04) +1.38% (p=0.008)
BenchmarkFmtFprintfEmpty 83.5ns × (0.97,1.10) 87.3ns × (0.92,1.11) +4.55% (p=0.014)
BenchmarkFmtFprintfEmpty-2 81.8ns × (0.98,1.04) 82.5ns × (0.97,1.08) ~ (p=0.364)
BenchmarkFmtFprintfEmpty-4 80.9ns × (0.99,1.01) 82.6ns × (0.97,1.08) +2.12% (p=0.010)
BenchmarkFmtFprintfString 320ns × (0.95,1.04) 322ns × (0.97,1.05) ~ (p=0.368)
BenchmarkFmtFprintfString-2 303ns × (0.97,1.04) 304ns × (0.97,1.04) ~ (p=0.484)
BenchmarkFmtFprintfString-4 305ns × (0.97,1.05) 306ns × (0.98,1.05) ~ (p=0.543)
BenchmarkFmtFprintfInt 311ns × (0.98,1.03) 319ns × (0.97,1.03) +2.63% (p=0.000)
BenchmarkFmtFprintfInt-2 297ns × (0.98,1.04) 301ns × (0.97,1.04) +1.19% (p=0.023)
BenchmarkFmtFprintfInt-4 302ns × (0.98,1.02) 304ns × (0.97,1.03) ~ (p=0.126)
BenchmarkFmtFprintfIntInt 554ns × (0.96,1.05) 554ns × (0.97,1.03) ~ (p=0.975)
BenchmarkFmtFprintfIntInt-2 520ns × (0.98,1.03) 517ns × (0.98,1.02) ~ (p=0.153)
BenchmarkFmtFprintfIntInt-4 524ns × (0.98,1.02) 525ns × (0.98,1.03) ~ (p=0.597)
BenchmarkFmtFprintfPrefixedInt 433ns × (0.97,1.06) 434ns × (0.97,1.06) ~ (p=0.804)
BenchmarkFmtFprintfPrefixedInt-2 413ns × (0.98,1.04) 413ns × (0.98,1.03) ~ (p=0.881)
BenchmarkFmtFprintfPrefixedInt-4 420ns × (0.97,1.03) 421ns × (0.97,1.03) ~ (p=0.561)
BenchmarkFmtFprintfFloat 620ns × (0.99,1.03) 636ns × (0.97,1.03) +2.57% (p=0.000)
BenchmarkFmtFprintfFloat-2 601ns × (0.98,1.02) 617ns × (0.98,1.03) +2.58% (p=0.000)
BenchmarkFmtFprintfFloat-4 613ns × (0.98,1.03) 626ns × (0.98,1.02) +2.15% (p=0.000)
BenchmarkFmtManyArgs 2.19µs × (0.96,1.04) 2.23µs × (0.97,1.02) +1.65% (p=0.000)
BenchmarkFmtManyArgs-2 2.08µs × (0.98,1.03) 2.10µs × (0.99,1.02) +0.79% (p=0.019)
BenchmarkFmtManyArgs-4 2.10µs × (0.98,1.02) 2.13µs × (0.98,1.02) +1.72% (p=0.000)
BenchmarkGobDecode 21.3ms × (0.97,1.05) 21.1ms × (0.97,1.04) -1.36% (p=0.025)
BenchmarkGobDecode-2 20.0ms × (0.97,1.03) 19.2ms × (0.97,1.03) -4.00% (p=0.000)
BenchmarkGobDecode-4 19.5ms × (0.99,1.02) 19.0ms × (0.99,1.01) -2.39% (p=0.000)
BenchmarkGobEncode 18.3ms × (0.95,1.07) 18.1ms × (0.96,1.08) ~ (p=0.305)
BenchmarkGobEncode-2 16.8ms × (0.97,1.02) 16.4ms × (0.98,1.02) -2.79% (p=0.000)
BenchmarkGobEncode-4 15.4ms × (0.98,1.02) 15.4ms × (0.98,1.02) ~ (p=0.465)
BenchmarkGzip 650ms × (0.98,1.03) 655ms × (0.97,1.04) ~ (p=0.075)
BenchmarkGzip-2 652ms × (0.98,1.03) 655ms × (0.98,1.02) ~ (p=0.337)
BenchmarkGzip-4 656ms × (0.98,1.04) 653ms × (0.98,1.03) ~ (p=0.291)
BenchmarkGunzip 143ms × (1.00,1.01) 143ms × (1.00,1.01) ~ (p=0.507)
BenchmarkGunzip-2 143ms × (1.00,1.01) 143ms × (1.00,1.01) ~ (p=0.313)
BenchmarkGunzip-4 143ms × (1.00,1.01) 143ms × (1.00,1.01) ~ (p=0.312)
BenchmarkHTTPClientServer 110µs × (0.98,1.03) 109µs × (0.99,1.02) -1.40% (p=0.000)
BenchmarkHTTPClientServer-2 154µs × (0.90,1.08) 149µs × (0.90,1.08) -3.43% (p=0.007)
BenchmarkHTTPClientServer-4 138µs × (0.97,1.04) 138µs × (0.96,1.04) ~ (p=0.670)
BenchmarkJSONEncode 40.2ms × (0.98,1.02) 40.2ms × (0.98,1.05) ~ (p=0.828)
BenchmarkJSONEncode-2 35.1ms × (0.99,1.02) 35.2ms × (0.98,1.03) ~ (p=0.392)
BenchmarkJSONEncode-4 35.3ms × (0.98,1.03) 35.3ms × (0.98,1.02) ~ (p=0.813)
BenchmarkJSONDecode 119ms × (0.97,1.02) 117ms × (0.98,1.02) -1.80% (p=0.000)
BenchmarkJSONDecode-2 115ms × (0.99,1.02) 114ms × (0.98,1.02) -1.18% (p=0.000)
BenchmarkJSONDecode-4 116ms × (0.98,1.02) 114ms × (0.98,1.02) -1.43% (p=0.000)
BenchmarkMandelbrot200 6.03ms × (1.00,1.01) 6.03ms × (1.00,1.01) ~ (p=0.985)
BenchmarkMandelbrot200-2 6.03ms × (1.00,1.01) 6.02ms × (1.00,1.01) ~ (p=0.320)
BenchmarkMandelbrot200-4 6.03ms × (1.00,1.01) 6.03ms × (1.00,1.01) ~ (p=0.799)
BenchmarkGoParse 8.63ms × (0.89,1.10) 8.58ms × (0.93,1.09) ~ (p=0.667)
BenchmarkGoParse-2 8.20ms × (0.97,1.04) 8.37ms × (0.97,1.04) +1.96% (p=0.001)
BenchmarkGoParse-4 8.00ms × (0.98,1.02) 8.14ms × (0.99,1.02) +1.75% (p=0.000)
BenchmarkRegexpMatchEasy0_32 162ns × (1.00,1.01) 164ns × (0.98,1.04) +1.35% (p=0.011)
BenchmarkRegexpMatchEasy0_32-2 161ns × (1.00,1.01) 161ns × (1.00,1.00) ~ (p=0.185)
BenchmarkRegexpMatchEasy0_32-4 161ns × (1.00,1.00) 161ns × (1.00,1.00) -0.19% (p=0.001)
BenchmarkRegexpMatchEasy0_1K 540ns × (0.99,1.02) 566ns × (0.98,1.04) +4.98% (p=0.000)
BenchmarkRegexpMatchEasy0_1K-2 540ns × (0.99,1.01) 557ns × (0.99,1.01) +3.21% (p=0.000)
BenchmarkRegexpMatchEasy0_1K-4 541ns × (0.99,1.01) 559ns × (0.99,1.01) +3.26% (p=0.000)
BenchmarkRegexpMatchEasy1_32 139ns × (0.98,1.04) 139ns × (0.99,1.03) ~ (p=0.979)
BenchmarkRegexpMatchEasy1_32-2 139ns × (0.99,1.04) 139ns × (0.99,1.02) ~ (p=0.777)
BenchmarkRegexpMatchEasy1_32-4 139ns × (0.98,1.04) 139ns × (0.99,1.04) ~ (p=0.771)
BenchmarkRegexpMatchEasy1_1K 890ns × (0.99,1.03) 885ns × (1.00,1.01) -0.50% (p=0.004)
BenchmarkRegexpMatchEasy1_1K-2 888ns × (0.99,1.01) 885ns × (0.99,1.01) -0.37% (p=0.004)
BenchmarkRegexpMatchEasy1_1K-4 890ns × (0.99,1.02) 884ns × (1.00,1.00) -0.70% (p=0.000)
BenchmarkRegexpMatchMedium_32 252ns × (0.99,1.01) 251ns × (0.99,1.01) ~ (p=0.081)
BenchmarkRegexpMatchMedium_32-2 254ns × (0.99,1.04) 252ns × (0.99,1.01) -0.78% (p=0.027)
BenchmarkRegexpMatchMedium_32-4 253ns × (0.99,1.04) 252ns × (0.99,1.01) -0.70% (p=0.022)
BenchmarkRegexpMatchMedium_1K 72.9µs × (0.99,1.01) 72.7µs × (1.00,1.00) ~ (p=0.064)
BenchmarkRegexpMatchMedium_1K-2 74.1µs × (0.98,1.05) 72.9µs × (1.00,1.01) -1.61% (p=0.001)
BenchmarkRegexpMatchMedium_1K-4 73.6µs × (0.99,1.05) 72.8µs × (1.00,1.00) -1.13% (p=0.007)
BenchmarkRegexpMatchHard_32 3.88µs × (0.99,1.03) 3.92µs × (0.98,1.05) ~ (p=0.143)
BenchmarkRegexpMatchHard_32-2 3.89µs × (0.99,1.03) 3.93µs × (0.98,1.09) ~ (p=0.278)
BenchmarkRegexpMatchHard_32-4 3.90µs × (0.99,1.05) 3.93µs × (0.98,1.05) ~ (p=0.252)
BenchmarkRegexpMatchHard_1K 118µs × (0.99,1.01) 117µs × (0.99,1.02) -0.54% (p=0.003)
BenchmarkRegexpMatchHard_1K-2 118µs × (0.99,1.01) 118µs × (0.99,1.03) ~ (p=0.581)
BenchmarkRegexpMatchHard_1K-4 118µs × (0.99,1.02) 117µs × (0.99,1.01) -0.54% (p=0.002)
BenchmarkRevcomp 991ms × (0.95,1.10) 989ms × (0.94,1.08) ~ (p=0.879)
BenchmarkRevcomp-2 978ms × (0.95,1.11) 962ms × (0.96,1.08) ~ (p=0.257)
BenchmarkRevcomp-4 979ms × (0.96,1.07) 974ms × (0.96,1.11) ~ (p=0.678)
BenchmarkTemplate 141ms × (0.99,1.02) 145ms × (0.99,1.02) +2.75% (p=0.000)
BenchmarkTemplate-2 135ms × (0.98,1.02) 138ms × (0.99,1.02) +2.34% (p=0.000)
BenchmarkTemplate-4 136ms × (0.98,1.02) 140ms × (0.99,1.02) +2.71% (p=0.000)
BenchmarkTimeParse 640ns × (0.99,1.01) 622ns × (0.99,1.01) -2.88% (p=0.000)
BenchmarkTimeParse-2 640ns × (0.99,1.01) 622ns × (1.00,1.00) -2.81% (p=0.000)
BenchmarkTimeParse-4 640ns × (1.00,1.01) 622ns × (0.99,1.01) -2.82% (p=0.000)
BenchmarkTimeFormat 730ns × (0.98,1.02) 731ns × (0.98,1.03) ~ (p=0.767)
BenchmarkTimeFormat-2 709ns × (0.99,1.02) 707ns × (0.99,1.02) ~ (p=0.347)
BenchmarkTimeFormat-4 717ns × (0.98,1.01) 718ns × (0.98,1.02) ~ (p=0.793)
Change-Id: Ie779c47e912bf80eb918bafa13638bd8dfd6c2d9
Reviewed-on: https://go-review.googlesource.com/9406
Reviewed-by: Rick Hudson <rlh@golang.org>
2015-04-27 20:45:57 -06:00
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func scanobject(b uintptr, gcw *gcWork) {
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2015-06-19 10:29:42 -06:00
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// Note that arena_used may change concurrently during
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// scanobject and hence scanobject may encounter a pointer to
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// a newly allocated heap object that is *not* in
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// [start,used). It will not mark this object; however, we
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// know that it was just installed by a mutator, which means
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// that mutator will execute a write barrier and take care of
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// marking it. This is even more pronounced on relaxed memory
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// architectures since we access arena_used without barriers
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// or synchronization, but the same logic applies.
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2015-02-19 11:38:46 -07:00
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arena_start := mheap_.arena_start
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arena_used := mheap_.arena_used
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runtime: bound scanobject to ~100 µs
Currently the time spent in scanobject is proportional to the size of
the object being scanned. Since scanobject is non-preemptible, large
objects can cause significant goroutine (and even whole application)
delays through several means:
1. If a GC assist picks up a large object, the allocating goroutine is
blocked for the whole scan, even if that scan well exceeds that
goroutine's debt.
2. Since the scheduler does not run on the P performing a large object
scan, goroutines in that P's run queue do not run unless they are
stolen by another P (which can take some time). If there are a few
large objects, all of the Ps may get tied up so the scheduler
doesn't run anywhere.
3. Even if a large object is scanned by a background worker and other
Ps are still running the scheduler, the large object scan doesn't
flush background credit until the whole scan is done. This can
easily cause all allocations to block in assists, waiting for
credit, causing an effective STW.
Fix this by splitting large objects into 128 KB "oblets" and scanning
at most one oblet at a time. Since we can scan 1–2 MB/ms, this equates
to bounding scanobject at roughly 100 µs. This improves assist
behavior both because assists can no longer get "unlucky" and be stuck
scanning a large object, and because it causes the background worker
to flush credit and unblock assists more frequently when scanning
large objects. This also improves GC parallelism if the heap consists
primarily of a small number of very large objects by letting multiple
workers scan a large objects in parallel.
Fixes #10345. Fixes #16293.
This substantially improves goroutine latency in the benchmark from
issue #16293, which exercises several forms of very large objects:
name old max-latency new max-latency delta
SliceNoPointer-12 154µs ± 1% 155µs ± 2% ~ (p=0.087 n=13+12)
SlicePointer-12 314ms ± 1% 5.94ms ±138% -98.11% (p=0.000 n=19+20)
SliceLivePointer-12 1148ms ± 0% 4.72ms ±167% -99.59% (p=0.000 n=19+20)
MapNoPointer-12 72509µs ± 1% 408µs ±325% -99.44% (p=0.000 n=19+18)
ChanPointer-12 313ms ± 0% 4.74ms ±140% -98.49% (p=0.000 n=18+20)
ChanLivePointer-12 1147ms ± 0% 3.30ms ±149% -99.71% (p=0.000 n=19+20)
name old P99.9-latency new P99.9-latency delta
SliceNoPointer-12 113µs ±25% 107µs ±12% ~ (p=0.153 n=20+18)
SlicePointer-12 309450µs ± 0% 133µs ±23% -99.96% (p=0.000 n=20+20)
SliceLivePointer-12 961ms ± 0% 1.35ms ±27% -99.86% (p=0.000 n=20+20)
MapNoPointer-12 448µs ±288% 119µs ±18% -73.34% (p=0.000 n=18+20)
ChanPointer-12 309450µs ± 0% 134µs ±23% -99.96% (p=0.000 n=20+19)
ChanLivePointer-12 961ms ± 0% 1.35ms ±27% -99.86% (p=0.000 n=20+20)
This has negligible effect on all metrics from the garbage, JSON, and
HTTP x/benchmarks.
It shows slight improvement on some of the go1 benchmarks,
particularly Revcomp, which uses some multi-megabyte buffers:
name old time/op new time/op delta
BinaryTree17-12 2.46s ± 1% 2.47s ± 1% +0.32% (p=0.012 n=20+20)
Fannkuch11-12 2.82s ± 0% 2.81s ± 0% -0.61% (p=0.000 n=17+20)
FmtFprintfEmpty-12 50.8ns ± 5% 50.5ns ± 2% ~ (p=0.197 n=17+19)
FmtFprintfString-12 131ns ± 1% 132ns ± 0% +0.57% (p=0.000 n=20+16)
FmtFprintfInt-12 117ns ± 0% 116ns ± 0% -0.47% (p=0.000 n=15+20)
FmtFprintfIntInt-12 180ns ± 0% 179ns ± 1% -0.78% (p=0.000 n=16+20)
FmtFprintfPrefixedInt-12 186ns ± 1% 185ns ± 1% -0.55% (p=0.000 n=19+20)
FmtFprintfFloat-12 263ns ± 1% 271ns ± 0% +2.84% (p=0.000 n=18+20)
FmtManyArgs-12 741ns ± 1% 742ns ± 1% ~ (p=0.190 n=19+19)
GobDecode-12 7.44ms ± 0% 7.35ms ± 1% -1.21% (p=0.000 n=20+20)
GobEncode-12 6.22ms ± 1% 6.21ms ± 1% ~ (p=0.336 n=20+19)
Gzip-12 220ms ± 1% 219ms ± 1% ~ (p=0.130 n=19+19)
Gunzip-12 37.9ms ± 0% 37.9ms ± 1% ~ (p=1.000 n=20+19)
HTTPClientServer-12 82.5µs ± 3% 82.6µs ± 3% ~ (p=0.776 n=20+19)
JSONEncode-12 16.4ms ± 1% 16.5ms ± 2% +0.49% (p=0.003 n=18+19)
JSONDecode-12 53.7ms ± 1% 54.1ms ± 1% +0.71% (p=0.000 n=19+18)
Mandelbrot200-12 4.19ms ± 1% 4.20ms ± 1% ~ (p=0.452 n=19+19)
GoParse-12 3.38ms ± 1% 3.37ms ± 1% ~ (p=0.123 n=19+19)
RegexpMatchEasy0_32-12 72.1ns ± 1% 71.8ns ± 1% ~ (p=0.397 n=19+17)
RegexpMatchEasy0_1K-12 242ns ± 0% 242ns ± 0% ~ (p=0.168 n=17+20)
RegexpMatchEasy1_32-12 72.1ns ± 1% 72.1ns ± 1% ~ (p=0.538 n=18+19)
RegexpMatchEasy1_1K-12 385ns ± 1% 384ns ± 1% ~ (p=0.388 n=20+20)
RegexpMatchMedium_32-12 112ns ± 1% 112ns ± 3% ~ (p=0.539 n=20+20)
RegexpMatchMedium_1K-12 34.4µs ± 2% 34.4µs ± 2% ~ (p=0.628 n=18+18)
RegexpMatchHard_32-12 1.80µs ± 1% 1.80µs ± 1% ~ (p=0.522 n=18+19)
RegexpMatchHard_1K-12 54.0µs ± 1% 54.1µs ± 1% ~ (p=0.647 n=20+19)
Revcomp-12 387ms ± 1% 369ms ± 5% -4.89% (p=0.000 n=17+19)
Template-12 62.3ms ± 1% 62.0ms ± 0% -0.48% (p=0.002 n=20+17)
TimeParse-12 314ns ± 1% 314ns ± 0% ~ (p=1.011 n=20+13)
TimeFormat-12 358ns ± 0% 354ns ± 0% -1.12% (p=0.000 n=17+20)
[Geo mean] 53.5µs 53.3µs -0.23%
Change-Id: I2a0a179d1d6bf7875dd054b7693dd12d2a340132
Reviewed-on: https://go-review.googlesource.com/23540
Run-TryBot: Austin Clements <austin@google.com>
TryBot-Result: Gobot Gobot <gobot@golang.org>
Reviewed-by: Rick Hudson <rlh@golang.org>
2016-05-27 19:04:40 -06:00
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// Find the bits for b and the size of the object at b.
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//
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// b is either the beginning of an object, in which case this
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// is the size of the object to scan, or it points to an
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// oblet, in which case we compute the size to scan below.
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cmd/internal/gc, runtime: use 1-bit bitmap for stack frames, data, bss
The bitmaps were 2 bits per pointer because we needed to distinguish
scalar, pointer, multiword, and we used the leftover value to distinguish
uninitialized from scalar, even though the garbage collector (GC) didn't care.
Now that there are no multiword structures from the GC's point of view,
cut the bitmaps down to 1 bit per pointer, recording just live pointer vs not.
The GC assumes the same layout for stack frames and for the maps
describing the global data and bss sections, so change them all in one CL.
The code still refers to 4-bit heap bitmaps and 2-bit "type bitmaps", since
the 2-bit representation lives (at least for now) in some of the reflect data.
Because these stack frame bitmaps are stored directly in the rodata in
the binary, this CL reduces the size of the 6g binary by about 1.1%.
Performance change is basically a wash, but using less memory,
and smaller binaries, and enables other bitmap reductions.
name old mean new mean delta
BenchmarkBinaryTree17 13.2s × (0.97,1.03) 13.0s × (0.99,1.01) -0.93% (p=0.005)
BenchmarkBinaryTree17-2 9.69s × (0.96,1.05) 9.51s × (0.96,1.03) -1.86% (p=0.001)
BenchmarkBinaryTree17-4 10.1s × (0.97,1.05) 10.0s × (0.96,1.05) ~ (p=0.141)
BenchmarkFannkuch11 4.35s × (0.99,1.01) 4.43s × (0.98,1.04) +1.75% (p=0.001)
BenchmarkFannkuch11-2 4.31s × (0.99,1.03) 4.32s × (1.00,1.00) ~ (p=0.095)
BenchmarkFannkuch11-4 4.32s × (0.99,1.02) 4.38s × (0.98,1.04) +1.38% (p=0.008)
BenchmarkFmtFprintfEmpty 83.5ns × (0.97,1.10) 87.3ns × (0.92,1.11) +4.55% (p=0.014)
BenchmarkFmtFprintfEmpty-2 81.8ns × (0.98,1.04) 82.5ns × (0.97,1.08) ~ (p=0.364)
BenchmarkFmtFprintfEmpty-4 80.9ns × (0.99,1.01) 82.6ns × (0.97,1.08) +2.12% (p=0.010)
BenchmarkFmtFprintfString 320ns × (0.95,1.04) 322ns × (0.97,1.05) ~ (p=0.368)
BenchmarkFmtFprintfString-2 303ns × (0.97,1.04) 304ns × (0.97,1.04) ~ (p=0.484)
BenchmarkFmtFprintfString-4 305ns × (0.97,1.05) 306ns × (0.98,1.05) ~ (p=0.543)
BenchmarkFmtFprintfInt 311ns × (0.98,1.03) 319ns × (0.97,1.03) +2.63% (p=0.000)
BenchmarkFmtFprintfInt-2 297ns × (0.98,1.04) 301ns × (0.97,1.04) +1.19% (p=0.023)
BenchmarkFmtFprintfInt-4 302ns × (0.98,1.02) 304ns × (0.97,1.03) ~ (p=0.126)
BenchmarkFmtFprintfIntInt 554ns × (0.96,1.05) 554ns × (0.97,1.03) ~ (p=0.975)
BenchmarkFmtFprintfIntInt-2 520ns × (0.98,1.03) 517ns × (0.98,1.02) ~ (p=0.153)
BenchmarkFmtFprintfIntInt-4 524ns × (0.98,1.02) 525ns × (0.98,1.03) ~ (p=0.597)
BenchmarkFmtFprintfPrefixedInt 433ns × (0.97,1.06) 434ns × (0.97,1.06) ~ (p=0.804)
BenchmarkFmtFprintfPrefixedInt-2 413ns × (0.98,1.04) 413ns × (0.98,1.03) ~ (p=0.881)
BenchmarkFmtFprintfPrefixedInt-4 420ns × (0.97,1.03) 421ns × (0.97,1.03) ~ (p=0.561)
BenchmarkFmtFprintfFloat 620ns × (0.99,1.03) 636ns × (0.97,1.03) +2.57% (p=0.000)
BenchmarkFmtFprintfFloat-2 601ns × (0.98,1.02) 617ns × (0.98,1.03) +2.58% (p=0.000)
BenchmarkFmtFprintfFloat-4 613ns × (0.98,1.03) 626ns × (0.98,1.02) +2.15% (p=0.000)
BenchmarkFmtManyArgs 2.19µs × (0.96,1.04) 2.23µs × (0.97,1.02) +1.65% (p=0.000)
BenchmarkFmtManyArgs-2 2.08µs × (0.98,1.03) 2.10µs × (0.99,1.02) +0.79% (p=0.019)
BenchmarkFmtManyArgs-4 2.10µs × (0.98,1.02) 2.13µs × (0.98,1.02) +1.72% (p=0.000)
BenchmarkGobDecode 21.3ms × (0.97,1.05) 21.1ms × (0.97,1.04) -1.36% (p=0.025)
BenchmarkGobDecode-2 20.0ms × (0.97,1.03) 19.2ms × (0.97,1.03) -4.00% (p=0.000)
BenchmarkGobDecode-4 19.5ms × (0.99,1.02) 19.0ms × (0.99,1.01) -2.39% (p=0.000)
BenchmarkGobEncode 18.3ms × (0.95,1.07) 18.1ms × (0.96,1.08) ~ (p=0.305)
BenchmarkGobEncode-2 16.8ms × (0.97,1.02) 16.4ms × (0.98,1.02) -2.79% (p=0.000)
BenchmarkGobEncode-4 15.4ms × (0.98,1.02) 15.4ms × (0.98,1.02) ~ (p=0.465)
BenchmarkGzip 650ms × (0.98,1.03) 655ms × (0.97,1.04) ~ (p=0.075)
BenchmarkGzip-2 652ms × (0.98,1.03) 655ms × (0.98,1.02) ~ (p=0.337)
BenchmarkGzip-4 656ms × (0.98,1.04) 653ms × (0.98,1.03) ~ (p=0.291)
BenchmarkGunzip 143ms × (1.00,1.01) 143ms × (1.00,1.01) ~ (p=0.507)
BenchmarkGunzip-2 143ms × (1.00,1.01) 143ms × (1.00,1.01) ~ (p=0.313)
BenchmarkGunzip-4 143ms × (1.00,1.01) 143ms × (1.00,1.01) ~ (p=0.312)
BenchmarkHTTPClientServer 110µs × (0.98,1.03) 109µs × (0.99,1.02) -1.40% (p=0.000)
BenchmarkHTTPClientServer-2 154µs × (0.90,1.08) 149µs × (0.90,1.08) -3.43% (p=0.007)
BenchmarkHTTPClientServer-4 138µs × (0.97,1.04) 138µs × (0.96,1.04) ~ (p=0.670)
BenchmarkJSONEncode 40.2ms × (0.98,1.02) 40.2ms × (0.98,1.05) ~ (p=0.828)
BenchmarkJSONEncode-2 35.1ms × (0.99,1.02) 35.2ms × (0.98,1.03) ~ (p=0.392)
BenchmarkJSONEncode-4 35.3ms × (0.98,1.03) 35.3ms × (0.98,1.02) ~ (p=0.813)
BenchmarkJSONDecode 119ms × (0.97,1.02) 117ms × (0.98,1.02) -1.80% (p=0.000)
BenchmarkJSONDecode-2 115ms × (0.99,1.02) 114ms × (0.98,1.02) -1.18% (p=0.000)
BenchmarkJSONDecode-4 116ms × (0.98,1.02) 114ms × (0.98,1.02) -1.43% (p=0.000)
BenchmarkMandelbrot200 6.03ms × (1.00,1.01) 6.03ms × (1.00,1.01) ~ (p=0.985)
BenchmarkMandelbrot200-2 6.03ms × (1.00,1.01) 6.02ms × (1.00,1.01) ~ (p=0.320)
BenchmarkMandelbrot200-4 6.03ms × (1.00,1.01) 6.03ms × (1.00,1.01) ~ (p=0.799)
BenchmarkGoParse 8.63ms × (0.89,1.10) 8.58ms × (0.93,1.09) ~ (p=0.667)
BenchmarkGoParse-2 8.20ms × (0.97,1.04) 8.37ms × (0.97,1.04) +1.96% (p=0.001)
BenchmarkGoParse-4 8.00ms × (0.98,1.02) 8.14ms × (0.99,1.02) +1.75% (p=0.000)
BenchmarkRegexpMatchEasy0_32 162ns × (1.00,1.01) 164ns × (0.98,1.04) +1.35% (p=0.011)
BenchmarkRegexpMatchEasy0_32-2 161ns × (1.00,1.01) 161ns × (1.00,1.00) ~ (p=0.185)
BenchmarkRegexpMatchEasy0_32-4 161ns × (1.00,1.00) 161ns × (1.00,1.00) -0.19% (p=0.001)
BenchmarkRegexpMatchEasy0_1K 540ns × (0.99,1.02) 566ns × (0.98,1.04) +4.98% (p=0.000)
BenchmarkRegexpMatchEasy0_1K-2 540ns × (0.99,1.01) 557ns × (0.99,1.01) +3.21% (p=0.000)
BenchmarkRegexpMatchEasy0_1K-4 541ns × (0.99,1.01) 559ns × (0.99,1.01) +3.26% (p=0.000)
BenchmarkRegexpMatchEasy1_32 139ns × (0.98,1.04) 139ns × (0.99,1.03) ~ (p=0.979)
BenchmarkRegexpMatchEasy1_32-2 139ns × (0.99,1.04) 139ns × (0.99,1.02) ~ (p=0.777)
BenchmarkRegexpMatchEasy1_32-4 139ns × (0.98,1.04) 139ns × (0.99,1.04) ~ (p=0.771)
BenchmarkRegexpMatchEasy1_1K 890ns × (0.99,1.03) 885ns × (1.00,1.01) -0.50% (p=0.004)
BenchmarkRegexpMatchEasy1_1K-2 888ns × (0.99,1.01) 885ns × (0.99,1.01) -0.37% (p=0.004)
BenchmarkRegexpMatchEasy1_1K-4 890ns × (0.99,1.02) 884ns × (1.00,1.00) -0.70% (p=0.000)
BenchmarkRegexpMatchMedium_32 252ns × (0.99,1.01) 251ns × (0.99,1.01) ~ (p=0.081)
BenchmarkRegexpMatchMedium_32-2 254ns × (0.99,1.04) 252ns × (0.99,1.01) -0.78% (p=0.027)
BenchmarkRegexpMatchMedium_32-4 253ns × (0.99,1.04) 252ns × (0.99,1.01) -0.70% (p=0.022)
BenchmarkRegexpMatchMedium_1K 72.9µs × (0.99,1.01) 72.7µs × (1.00,1.00) ~ (p=0.064)
BenchmarkRegexpMatchMedium_1K-2 74.1µs × (0.98,1.05) 72.9µs × (1.00,1.01) -1.61% (p=0.001)
BenchmarkRegexpMatchMedium_1K-4 73.6µs × (0.99,1.05) 72.8µs × (1.00,1.00) -1.13% (p=0.007)
BenchmarkRegexpMatchHard_32 3.88µs × (0.99,1.03) 3.92µs × (0.98,1.05) ~ (p=0.143)
BenchmarkRegexpMatchHard_32-2 3.89µs × (0.99,1.03) 3.93µs × (0.98,1.09) ~ (p=0.278)
BenchmarkRegexpMatchHard_32-4 3.90µs × (0.99,1.05) 3.93µs × (0.98,1.05) ~ (p=0.252)
BenchmarkRegexpMatchHard_1K 118µs × (0.99,1.01) 117µs × (0.99,1.02) -0.54% (p=0.003)
BenchmarkRegexpMatchHard_1K-2 118µs × (0.99,1.01) 118µs × (0.99,1.03) ~ (p=0.581)
BenchmarkRegexpMatchHard_1K-4 118µs × (0.99,1.02) 117µs × (0.99,1.01) -0.54% (p=0.002)
BenchmarkRevcomp 991ms × (0.95,1.10) 989ms × (0.94,1.08) ~ (p=0.879)
BenchmarkRevcomp-2 978ms × (0.95,1.11) 962ms × (0.96,1.08) ~ (p=0.257)
BenchmarkRevcomp-4 979ms × (0.96,1.07) 974ms × (0.96,1.11) ~ (p=0.678)
BenchmarkTemplate 141ms × (0.99,1.02) 145ms × (0.99,1.02) +2.75% (p=0.000)
BenchmarkTemplate-2 135ms × (0.98,1.02) 138ms × (0.99,1.02) +2.34% (p=0.000)
BenchmarkTemplate-4 136ms × (0.98,1.02) 140ms × (0.99,1.02) +2.71% (p=0.000)
BenchmarkTimeParse 640ns × (0.99,1.01) 622ns × (0.99,1.01) -2.88% (p=0.000)
BenchmarkTimeParse-2 640ns × (0.99,1.01) 622ns × (1.00,1.00) -2.81% (p=0.000)
BenchmarkTimeParse-4 640ns × (1.00,1.01) 622ns × (0.99,1.01) -2.82% (p=0.000)
BenchmarkTimeFormat 730ns × (0.98,1.02) 731ns × (0.98,1.03) ~ (p=0.767)
BenchmarkTimeFormat-2 709ns × (0.99,1.02) 707ns × (0.99,1.02) ~ (p=0.347)
BenchmarkTimeFormat-4 717ns × (0.98,1.01) 718ns × (0.98,1.02) ~ (p=0.793)
Change-Id: Ie779c47e912bf80eb918bafa13638bd8dfd6c2d9
Reviewed-on: https://go-review.googlesource.com/9406
Reviewed-by: Rick Hudson <rlh@golang.org>
2015-04-27 20:45:57 -06:00
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hbits := heapBitsForAddr(b)
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s := spanOfUnchecked(b)
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n := s.elemsize
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if n == 0 {
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throw("scanobject n == 0")
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2015-02-19 11:38:46 -07:00
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}
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cmd/internal/gc, runtime: use 1-bit bitmap for stack frames, data, bss
The bitmaps were 2 bits per pointer because we needed to distinguish
scalar, pointer, multiword, and we used the leftover value to distinguish
uninitialized from scalar, even though the garbage collector (GC) didn't care.
Now that there are no multiword structures from the GC's point of view,
cut the bitmaps down to 1 bit per pointer, recording just live pointer vs not.
The GC assumes the same layout for stack frames and for the maps
describing the global data and bss sections, so change them all in one CL.
The code still refers to 4-bit heap bitmaps and 2-bit "type bitmaps", since
the 2-bit representation lives (at least for now) in some of the reflect data.
Because these stack frame bitmaps are stored directly in the rodata in
the binary, this CL reduces the size of the 6g binary by about 1.1%.
Performance change is basically a wash, but using less memory,
and smaller binaries, and enables other bitmap reductions.
name old mean new mean delta
BenchmarkBinaryTree17 13.2s × (0.97,1.03) 13.0s × (0.99,1.01) -0.93% (p=0.005)
BenchmarkBinaryTree17-2 9.69s × (0.96,1.05) 9.51s × (0.96,1.03) -1.86% (p=0.001)
BenchmarkBinaryTree17-4 10.1s × (0.97,1.05) 10.0s × (0.96,1.05) ~ (p=0.141)
BenchmarkFannkuch11 4.35s × (0.99,1.01) 4.43s × (0.98,1.04) +1.75% (p=0.001)
BenchmarkFannkuch11-2 4.31s × (0.99,1.03) 4.32s × (1.00,1.00) ~ (p=0.095)
BenchmarkFannkuch11-4 4.32s × (0.99,1.02) 4.38s × (0.98,1.04) +1.38% (p=0.008)
BenchmarkFmtFprintfEmpty 83.5ns × (0.97,1.10) 87.3ns × (0.92,1.11) +4.55% (p=0.014)
BenchmarkFmtFprintfEmpty-2 81.8ns × (0.98,1.04) 82.5ns × (0.97,1.08) ~ (p=0.364)
BenchmarkFmtFprintfEmpty-4 80.9ns × (0.99,1.01) 82.6ns × (0.97,1.08) +2.12% (p=0.010)
BenchmarkFmtFprintfString 320ns × (0.95,1.04) 322ns × (0.97,1.05) ~ (p=0.368)
BenchmarkFmtFprintfString-2 303ns × (0.97,1.04) 304ns × (0.97,1.04) ~ (p=0.484)
BenchmarkFmtFprintfString-4 305ns × (0.97,1.05) 306ns × (0.98,1.05) ~ (p=0.543)
BenchmarkFmtFprintfInt 311ns × (0.98,1.03) 319ns × (0.97,1.03) +2.63% (p=0.000)
BenchmarkFmtFprintfInt-2 297ns × (0.98,1.04) 301ns × (0.97,1.04) +1.19% (p=0.023)
BenchmarkFmtFprintfInt-4 302ns × (0.98,1.02) 304ns × (0.97,1.03) ~ (p=0.126)
BenchmarkFmtFprintfIntInt 554ns × (0.96,1.05) 554ns × (0.97,1.03) ~ (p=0.975)
BenchmarkFmtFprintfIntInt-2 520ns × (0.98,1.03) 517ns × (0.98,1.02) ~ (p=0.153)
BenchmarkFmtFprintfIntInt-4 524ns × (0.98,1.02) 525ns × (0.98,1.03) ~ (p=0.597)
BenchmarkFmtFprintfPrefixedInt 433ns × (0.97,1.06) 434ns × (0.97,1.06) ~ (p=0.804)
BenchmarkFmtFprintfPrefixedInt-2 413ns × (0.98,1.04) 413ns × (0.98,1.03) ~ (p=0.881)
BenchmarkFmtFprintfPrefixedInt-4 420ns × (0.97,1.03) 421ns × (0.97,1.03) ~ (p=0.561)
BenchmarkFmtFprintfFloat 620ns × (0.99,1.03) 636ns × (0.97,1.03) +2.57% (p=0.000)
BenchmarkFmtFprintfFloat-2 601ns × (0.98,1.02) 617ns × (0.98,1.03) +2.58% (p=0.000)
BenchmarkFmtFprintfFloat-4 613ns × (0.98,1.03) 626ns × (0.98,1.02) +2.15% (p=0.000)
BenchmarkFmtManyArgs 2.19µs × (0.96,1.04) 2.23µs × (0.97,1.02) +1.65% (p=0.000)
BenchmarkFmtManyArgs-2 2.08µs × (0.98,1.03) 2.10µs × (0.99,1.02) +0.79% (p=0.019)
BenchmarkFmtManyArgs-4 2.10µs × (0.98,1.02) 2.13µs × (0.98,1.02) +1.72% (p=0.000)
BenchmarkGobDecode 21.3ms × (0.97,1.05) 21.1ms × (0.97,1.04) -1.36% (p=0.025)
BenchmarkGobDecode-2 20.0ms × (0.97,1.03) 19.2ms × (0.97,1.03) -4.00% (p=0.000)
BenchmarkGobDecode-4 19.5ms × (0.99,1.02) 19.0ms × (0.99,1.01) -2.39% (p=0.000)
BenchmarkGobEncode 18.3ms × (0.95,1.07) 18.1ms × (0.96,1.08) ~ (p=0.305)
BenchmarkGobEncode-2 16.8ms × (0.97,1.02) 16.4ms × (0.98,1.02) -2.79% (p=0.000)
BenchmarkGobEncode-4 15.4ms × (0.98,1.02) 15.4ms × (0.98,1.02) ~ (p=0.465)
BenchmarkGzip 650ms × (0.98,1.03) 655ms × (0.97,1.04) ~ (p=0.075)
BenchmarkGzip-2 652ms × (0.98,1.03) 655ms × (0.98,1.02) ~ (p=0.337)
BenchmarkGzip-4 656ms × (0.98,1.04) 653ms × (0.98,1.03) ~ (p=0.291)
BenchmarkGunzip 143ms × (1.00,1.01) 143ms × (1.00,1.01) ~ (p=0.507)
BenchmarkGunzip-2 143ms × (1.00,1.01) 143ms × (1.00,1.01) ~ (p=0.313)
BenchmarkGunzip-4 143ms × (1.00,1.01) 143ms × (1.00,1.01) ~ (p=0.312)
BenchmarkHTTPClientServer 110µs × (0.98,1.03) 109µs × (0.99,1.02) -1.40% (p=0.000)
BenchmarkHTTPClientServer-2 154µs × (0.90,1.08) 149µs × (0.90,1.08) -3.43% (p=0.007)
BenchmarkHTTPClientServer-4 138µs × (0.97,1.04) 138µs × (0.96,1.04) ~ (p=0.670)
BenchmarkJSONEncode 40.2ms × (0.98,1.02) 40.2ms × (0.98,1.05) ~ (p=0.828)
BenchmarkJSONEncode-2 35.1ms × (0.99,1.02) 35.2ms × (0.98,1.03) ~ (p=0.392)
BenchmarkJSONEncode-4 35.3ms × (0.98,1.03) 35.3ms × (0.98,1.02) ~ (p=0.813)
BenchmarkJSONDecode 119ms × (0.97,1.02) 117ms × (0.98,1.02) -1.80% (p=0.000)
BenchmarkJSONDecode-2 115ms × (0.99,1.02) 114ms × (0.98,1.02) -1.18% (p=0.000)
BenchmarkJSONDecode-4 116ms × (0.98,1.02) 114ms × (0.98,1.02) -1.43% (p=0.000)
BenchmarkMandelbrot200 6.03ms × (1.00,1.01) 6.03ms × (1.00,1.01) ~ (p=0.985)
BenchmarkMandelbrot200-2 6.03ms × (1.00,1.01) 6.02ms × (1.00,1.01) ~ (p=0.320)
BenchmarkMandelbrot200-4 6.03ms × (1.00,1.01) 6.03ms × (1.00,1.01) ~ (p=0.799)
BenchmarkGoParse 8.63ms × (0.89,1.10) 8.58ms × (0.93,1.09) ~ (p=0.667)
BenchmarkGoParse-2 8.20ms × (0.97,1.04) 8.37ms × (0.97,1.04) +1.96% (p=0.001)
BenchmarkGoParse-4 8.00ms × (0.98,1.02) 8.14ms × (0.99,1.02) +1.75% (p=0.000)
BenchmarkRegexpMatchEasy0_32 162ns × (1.00,1.01) 164ns × (0.98,1.04) +1.35% (p=0.011)
BenchmarkRegexpMatchEasy0_32-2 161ns × (1.00,1.01) 161ns × (1.00,1.00) ~ (p=0.185)
BenchmarkRegexpMatchEasy0_32-4 161ns × (1.00,1.00) 161ns × (1.00,1.00) -0.19% (p=0.001)
BenchmarkRegexpMatchEasy0_1K 540ns × (0.99,1.02) 566ns × (0.98,1.04) +4.98% (p=0.000)
BenchmarkRegexpMatchEasy0_1K-2 540ns × (0.99,1.01) 557ns × (0.99,1.01) +3.21% (p=0.000)
BenchmarkRegexpMatchEasy0_1K-4 541ns × (0.99,1.01) 559ns × (0.99,1.01) +3.26% (p=0.000)
BenchmarkRegexpMatchEasy1_32 139ns × (0.98,1.04) 139ns × (0.99,1.03) ~ (p=0.979)
BenchmarkRegexpMatchEasy1_32-2 139ns × (0.99,1.04) 139ns × (0.99,1.02) ~ (p=0.777)
BenchmarkRegexpMatchEasy1_32-4 139ns × (0.98,1.04) 139ns × (0.99,1.04) ~ (p=0.771)
BenchmarkRegexpMatchEasy1_1K 890ns × (0.99,1.03) 885ns × (1.00,1.01) -0.50% (p=0.004)
BenchmarkRegexpMatchEasy1_1K-2 888ns × (0.99,1.01) 885ns × (0.99,1.01) -0.37% (p=0.004)
BenchmarkRegexpMatchEasy1_1K-4 890ns × (0.99,1.02) 884ns × (1.00,1.00) -0.70% (p=0.000)
BenchmarkRegexpMatchMedium_32 252ns × (0.99,1.01) 251ns × (0.99,1.01) ~ (p=0.081)
BenchmarkRegexpMatchMedium_32-2 254ns × (0.99,1.04) 252ns × (0.99,1.01) -0.78% (p=0.027)
BenchmarkRegexpMatchMedium_32-4 253ns × (0.99,1.04) 252ns × (0.99,1.01) -0.70% (p=0.022)
BenchmarkRegexpMatchMedium_1K 72.9µs × (0.99,1.01) 72.7µs × (1.00,1.00) ~ (p=0.064)
BenchmarkRegexpMatchMedium_1K-2 74.1µs × (0.98,1.05) 72.9µs × (1.00,1.01) -1.61% (p=0.001)
BenchmarkRegexpMatchMedium_1K-4 73.6µs × (0.99,1.05) 72.8µs × (1.00,1.00) -1.13% (p=0.007)
BenchmarkRegexpMatchHard_32 3.88µs × (0.99,1.03) 3.92µs × (0.98,1.05) ~ (p=0.143)
BenchmarkRegexpMatchHard_32-2 3.89µs × (0.99,1.03) 3.93µs × (0.98,1.09) ~ (p=0.278)
BenchmarkRegexpMatchHard_32-4 3.90µs × (0.99,1.05) 3.93µs × (0.98,1.05) ~ (p=0.252)
BenchmarkRegexpMatchHard_1K 118µs × (0.99,1.01) 117µs × (0.99,1.02) -0.54% (p=0.003)
BenchmarkRegexpMatchHard_1K-2 118µs × (0.99,1.01) 118µs × (0.99,1.03) ~ (p=0.581)
BenchmarkRegexpMatchHard_1K-4 118µs × (0.99,1.02) 117µs × (0.99,1.01) -0.54% (p=0.002)
BenchmarkRevcomp 991ms × (0.95,1.10) 989ms × (0.94,1.08) ~ (p=0.879)
BenchmarkRevcomp-2 978ms × (0.95,1.11) 962ms × (0.96,1.08) ~ (p=0.257)
BenchmarkRevcomp-4 979ms × (0.96,1.07) 974ms × (0.96,1.11) ~ (p=0.678)
BenchmarkTemplate 141ms × (0.99,1.02) 145ms × (0.99,1.02) +2.75% (p=0.000)
BenchmarkTemplate-2 135ms × (0.98,1.02) 138ms × (0.99,1.02) +2.34% (p=0.000)
BenchmarkTemplate-4 136ms × (0.98,1.02) 140ms × (0.99,1.02) +2.71% (p=0.000)
BenchmarkTimeParse 640ns × (0.99,1.01) 622ns × (0.99,1.01) -2.88% (p=0.000)
BenchmarkTimeParse-2 640ns × (0.99,1.01) 622ns × (1.00,1.00) -2.81% (p=0.000)
BenchmarkTimeParse-4 640ns × (1.00,1.01) 622ns × (0.99,1.01) -2.82% (p=0.000)
BenchmarkTimeFormat 730ns × (0.98,1.02) 731ns × (0.98,1.03) ~ (p=0.767)
BenchmarkTimeFormat-2 709ns × (0.99,1.02) 707ns × (0.99,1.02) ~ (p=0.347)
BenchmarkTimeFormat-4 717ns × (0.98,1.01) 718ns × (0.98,1.02) ~ (p=0.793)
Change-Id: Ie779c47e912bf80eb918bafa13638bd8dfd6c2d9
Reviewed-on: https://go-review.googlesource.com/9406
Reviewed-by: Rick Hudson <rlh@golang.org>
2015-04-27 20:45:57 -06:00
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runtime: bound scanobject to ~100 µs
Currently the time spent in scanobject is proportional to the size of
the object being scanned. Since scanobject is non-preemptible, large
objects can cause significant goroutine (and even whole application)
delays through several means:
1. If a GC assist picks up a large object, the allocating goroutine is
blocked for the whole scan, even if that scan well exceeds that
goroutine's debt.
2. Since the scheduler does not run on the P performing a large object
scan, goroutines in that P's run queue do not run unless they are
stolen by another P (which can take some time). If there are a few
large objects, all of the Ps may get tied up so the scheduler
doesn't run anywhere.
3. Even if a large object is scanned by a background worker and other
Ps are still running the scheduler, the large object scan doesn't
flush background credit until the whole scan is done. This can
easily cause all allocations to block in assists, waiting for
credit, causing an effective STW.
Fix this by splitting large objects into 128 KB "oblets" and scanning
at most one oblet at a time. Since we can scan 1–2 MB/ms, this equates
to bounding scanobject at roughly 100 µs. This improves assist
behavior both because assists can no longer get "unlucky" and be stuck
scanning a large object, and because it causes the background worker
to flush credit and unblock assists more frequently when scanning
large objects. This also improves GC parallelism if the heap consists
primarily of a small number of very large objects by letting multiple
workers scan a large objects in parallel.
Fixes #10345. Fixes #16293.
This substantially improves goroutine latency in the benchmark from
issue #16293, which exercises several forms of very large objects:
name old max-latency new max-latency delta
SliceNoPointer-12 154µs ± 1% 155µs ± 2% ~ (p=0.087 n=13+12)
SlicePointer-12 314ms ± 1% 5.94ms ±138% -98.11% (p=0.000 n=19+20)
SliceLivePointer-12 1148ms ± 0% 4.72ms ±167% -99.59% (p=0.000 n=19+20)
MapNoPointer-12 72509µs ± 1% 408µs ±325% -99.44% (p=0.000 n=19+18)
ChanPointer-12 313ms ± 0% 4.74ms ±140% -98.49% (p=0.000 n=18+20)
ChanLivePointer-12 1147ms ± 0% 3.30ms ±149% -99.71% (p=0.000 n=19+20)
name old P99.9-latency new P99.9-latency delta
SliceNoPointer-12 113µs ±25% 107µs ±12% ~ (p=0.153 n=20+18)
SlicePointer-12 309450µs ± 0% 133µs ±23% -99.96% (p=0.000 n=20+20)
SliceLivePointer-12 961ms ± 0% 1.35ms ±27% -99.86% (p=0.000 n=20+20)
MapNoPointer-12 448µs ±288% 119µs ±18% -73.34% (p=0.000 n=18+20)
ChanPointer-12 309450µs ± 0% 134µs ±23% -99.96% (p=0.000 n=20+19)
ChanLivePointer-12 961ms ± 0% 1.35ms ±27% -99.86% (p=0.000 n=20+20)
This has negligible effect on all metrics from the garbage, JSON, and
HTTP x/benchmarks.
It shows slight improvement on some of the go1 benchmarks,
particularly Revcomp, which uses some multi-megabyte buffers:
name old time/op new time/op delta
BinaryTree17-12 2.46s ± 1% 2.47s ± 1% +0.32% (p=0.012 n=20+20)
Fannkuch11-12 2.82s ± 0% 2.81s ± 0% -0.61% (p=0.000 n=17+20)
FmtFprintfEmpty-12 50.8ns ± 5% 50.5ns ± 2% ~ (p=0.197 n=17+19)
FmtFprintfString-12 131ns ± 1% 132ns ± 0% +0.57% (p=0.000 n=20+16)
FmtFprintfInt-12 117ns ± 0% 116ns ± 0% -0.47% (p=0.000 n=15+20)
FmtFprintfIntInt-12 180ns ± 0% 179ns ± 1% -0.78% (p=0.000 n=16+20)
FmtFprintfPrefixedInt-12 186ns ± 1% 185ns ± 1% -0.55% (p=0.000 n=19+20)
FmtFprintfFloat-12 263ns ± 1% 271ns ± 0% +2.84% (p=0.000 n=18+20)
FmtManyArgs-12 741ns ± 1% 742ns ± 1% ~ (p=0.190 n=19+19)
GobDecode-12 7.44ms ± 0% 7.35ms ± 1% -1.21% (p=0.000 n=20+20)
GobEncode-12 6.22ms ± 1% 6.21ms ± 1% ~ (p=0.336 n=20+19)
Gzip-12 220ms ± 1% 219ms ± 1% ~ (p=0.130 n=19+19)
Gunzip-12 37.9ms ± 0% 37.9ms ± 1% ~ (p=1.000 n=20+19)
HTTPClientServer-12 82.5µs ± 3% 82.6µs ± 3% ~ (p=0.776 n=20+19)
JSONEncode-12 16.4ms ± 1% 16.5ms ± 2% +0.49% (p=0.003 n=18+19)
JSONDecode-12 53.7ms ± 1% 54.1ms ± 1% +0.71% (p=0.000 n=19+18)
Mandelbrot200-12 4.19ms ± 1% 4.20ms ± 1% ~ (p=0.452 n=19+19)
GoParse-12 3.38ms ± 1% 3.37ms ± 1% ~ (p=0.123 n=19+19)
RegexpMatchEasy0_32-12 72.1ns ± 1% 71.8ns ± 1% ~ (p=0.397 n=19+17)
RegexpMatchEasy0_1K-12 242ns ± 0% 242ns ± 0% ~ (p=0.168 n=17+20)
RegexpMatchEasy1_32-12 72.1ns ± 1% 72.1ns ± 1% ~ (p=0.538 n=18+19)
RegexpMatchEasy1_1K-12 385ns ± 1% 384ns ± 1% ~ (p=0.388 n=20+20)
RegexpMatchMedium_32-12 112ns ± 1% 112ns ± 3% ~ (p=0.539 n=20+20)
RegexpMatchMedium_1K-12 34.4µs ± 2% 34.4µs ± 2% ~ (p=0.628 n=18+18)
RegexpMatchHard_32-12 1.80µs ± 1% 1.80µs ± 1% ~ (p=0.522 n=18+19)
RegexpMatchHard_1K-12 54.0µs ± 1% 54.1µs ± 1% ~ (p=0.647 n=20+19)
Revcomp-12 387ms ± 1% 369ms ± 5% -4.89% (p=0.000 n=17+19)
Template-12 62.3ms ± 1% 62.0ms ± 0% -0.48% (p=0.002 n=20+17)
TimeParse-12 314ns ± 1% 314ns ± 0% ~ (p=1.011 n=20+13)
TimeFormat-12 358ns ± 0% 354ns ± 0% -1.12% (p=0.000 n=17+20)
[Geo mean] 53.5µs 53.3µs -0.23%
Change-Id: I2a0a179d1d6bf7875dd054b7693dd12d2a340132
Reviewed-on: https://go-review.googlesource.com/23540
Run-TryBot: Austin Clements <austin@google.com>
TryBot-Result: Gobot Gobot <gobot@golang.org>
Reviewed-by: Rick Hudson <rlh@golang.org>
2016-05-27 19:04:40 -06:00
|
|
|
|
if n > maxObletBytes {
|
|
|
|
|
// Large object. Break into oblets for better
|
|
|
|
|
// parallelism and lower latency.
|
|
|
|
|
if b == s.base() {
|
|
|
|
|
// It's possible this is a noscan object (not
|
|
|
|
|
// from greyobject, but from other code
|
|
|
|
|
// paths), in which case we must *not* enqueue
|
|
|
|
|
// oblets since their bitmaps will be
|
|
|
|
|
// uninitialized.
|
|
|
|
|
if !hbits.hasPointers(n) {
|
|
|
|
|
// Bypass the whole scan.
|
|
|
|
|
gcw.bytesMarked += uint64(n)
|
|
|
|
|
return
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
// Enqueue the other oblets to scan later.
|
|
|
|
|
// Some oblets may be in b's scalar tail, but
|
|
|
|
|
// these will be marked as "no more pointers",
|
|
|
|
|
// so we'll drop out immediately when we go to
|
|
|
|
|
// scan those.
|
|
|
|
|
for oblet := b + maxObletBytes; oblet < s.base()+s.elemsize; oblet += maxObletBytes {
|
|
|
|
|
if !gcw.putFast(oblet) {
|
|
|
|
|
gcw.put(oblet)
|
|
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
// Compute the size of the oblet. Since this object
|
|
|
|
|
// must be a large object, s.base() is the beginning
|
|
|
|
|
// of the object.
|
|
|
|
|
n = s.base() + s.elemsize - b
|
|
|
|
|
if n > maxObletBytes {
|
|
|
|
|
n = maxObletBytes
|
|
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
|
2015-05-04 13:40:58 -06:00
|
|
|
|
var i uintptr
|
2015-11-11 10:39:30 -07:00
|
|
|
|
for i = 0; i < n; i += sys.PtrSize {
|
2015-02-19 11:38:46 -07:00
|
|
|
|
// Find bits for this word.
|
cmd/internal/gc, runtime: use 1-bit bitmap for stack frames, data, bss
The bitmaps were 2 bits per pointer because we needed to distinguish
scalar, pointer, multiword, and we used the leftover value to distinguish
uninitialized from scalar, even though the garbage collector (GC) didn't care.
Now that there are no multiword structures from the GC's point of view,
cut the bitmaps down to 1 bit per pointer, recording just live pointer vs not.
The GC assumes the same layout for stack frames and for the maps
describing the global data and bss sections, so change them all in one CL.
The code still refers to 4-bit heap bitmaps and 2-bit "type bitmaps", since
the 2-bit representation lives (at least for now) in some of the reflect data.
Because these stack frame bitmaps are stored directly in the rodata in
the binary, this CL reduces the size of the 6g binary by about 1.1%.
Performance change is basically a wash, but using less memory,
and smaller binaries, and enables other bitmap reductions.
name old mean new mean delta
BenchmarkBinaryTree17 13.2s × (0.97,1.03) 13.0s × (0.99,1.01) -0.93% (p=0.005)
BenchmarkBinaryTree17-2 9.69s × (0.96,1.05) 9.51s × (0.96,1.03) -1.86% (p=0.001)
BenchmarkBinaryTree17-4 10.1s × (0.97,1.05) 10.0s × (0.96,1.05) ~ (p=0.141)
BenchmarkFannkuch11 4.35s × (0.99,1.01) 4.43s × (0.98,1.04) +1.75% (p=0.001)
BenchmarkFannkuch11-2 4.31s × (0.99,1.03) 4.32s × (1.00,1.00) ~ (p=0.095)
BenchmarkFannkuch11-4 4.32s × (0.99,1.02) 4.38s × (0.98,1.04) +1.38% (p=0.008)
BenchmarkFmtFprintfEmpty 83.5ns × (0.97,1.10) 87.3ns × (0.92,1.11) +4.55% (p=0.014)
BenchmarkFmtFprintfEmpty-2 81.8ns × (0.98,1.04) 82.5ns × (0.97,1.08) ~ (p=0.364)
BenchmarkFmtFprintfEmpty-4 80.9ns × (0.99,1.01) 82.6ns × (0.97,1.08) +2.12% (p=0.010)
BenchmarkFmtFprintfString 320ns × (0.95,1.04) 322ns × (0.97,1.05) ~ (p=0.368)
BenchmarkFmtFprintfString-2 303ns × (0.97,1.04) 304ns × (0.97,1.04) ~ (p=0.484)
BenchmarkFmtFprintfString-4 305ns × (0.97,1.05) 306ns × (0.98,1.05) ~ (p=0.543)
BenchmarkFmtFprintfInt 311ns × (0.98,1.03) 319ns × (0.97,1.03) +2.63% (p=0.000)
BenchmarkFmtFprintfInt-2 297ns × (0.98,1.04) 301ns × (0.97,1.04) +1.19% (p=0.023)
BenchmarkFmtFprintfInt-4 302ns × (0.98,1.02) 304ns × (0.97,1.03) ~ (p=0.126)
BenchmarkFmtFprintfIntInt 554ns × (0.96,1.05) 554ns × (0.97,1.03) ~ (p=0.975)
BenchmarkFmtFprintfIntInt-2 520ns × (0.98,1.03) 517ns × (0.98,1.02) ~ (p=0.153)
BenchmarkFmtFprintfIntInt-4 524ns × (0.98,1.02) 525ns × (0.98,1.03) ~ (p=0.597)
BenchmarkFmtFprintfPrefixedInt 433ns × (0.97,1.06) 434ns × (0.97,1.06) ~ (p=0.804)
BenchmarkFmtFprintfPrefixedInt-2 413ns × (0.98,1.04) 413ns × (0.98,1.03) ~ (p=0.881)
BenchmarkFmtFprintfPrefixedInt-4 420ns × (0.97,1.03) 421ns × (0.97,1.03) ~ (p=0.561)
BenchmarkFmtFprintfFloat 620ns × (0.99,1.03) 636ns × (0.97,1.03) +2.57% (p=0.000)
BenchmarkFmtFprintfFloat-2 601ns × (0.98,1.02) 617ns × (0.98,1.03) +2.58% (p=0.000)
BenchmarkFmtFprintfFloat-4 613ns × (0.98,1.03) 626ns × (0.98,1.02) +2.15% (p=0.000)
BenchmarkFmtManyArgs 2.19µs × (0.96,1.04) 2.23µs × (0.97,1.02) +1.65% (p=0.000)
BenchmarkFmtManyArgs-2 2.08µs × (0.98,1.03) 2.10µs × (0.99,1.02) +0.79% (p=0.019)
BenchmarkFmtManyArgs-4 2.10µs × (0.98,1.02) 2.13µs × (0.98,1.02) +1.72% (p=0.000)
BenchmarkGobDecode 21.3ms × (0.97,1.05) 21.1ms × (0.97,1.04) -1.36% (p=0.025)
BenchmarkGobDecode-2 20.0ms × (0.97,1.03) 19.2ms × (0.97,1.03) -4.00% (p=0.000)
BenchmarkGobDecode-4 19.5ms × (0.99,1.02) 19.0ms × (0.99,1.01) -2.39% (p=0.000)
BenchmarkGobEncode 18.3ms × (0.95,1.07) 18.1ms × (0.96,1.08) ~ (p=0.305)
BenchmarkGobEncode-2 16.8ms × (0.97,1.02) 16.4ms × (0.98,1.02) -2.79% (p=0.000)
BenchmarkGobEncode-4 15.4ms × (0.98,1.02) 15.4ms × (0.98,1.02) ~ (p=0.465)
BenchmarkGzip 650ms × (0.98,1.03) 655ms × (0.97,1.04) ~ (p=0.075)
BenchmarkGzip-2 652ms × (0.98,1.03) 655ms × (0.98,1.02) ~ (p=0.337)
BenchmarkGzip-4 656ms × (0.98,1.04) 653ms × (0.98,1.03) ~ (p=0.291)
BenchmarkGunzip 143ms × (1.00,1.01) 143ms × (1.00,1.01) ~ (p=0.507)
BenchmarkGunzip-2 143ms × (1.00,1.01) 143ms × (1.00,1.01) ~ (p=0.313)
BenchmarkGunzip-4 143ms × (1.00,1.01) 143ms × (1.00,1.01) ~ (p=0.312)
BenchmarkHTTPClientServer 110µs × (0.98,1.03) 109µs × (0.99,1.02) -1.40% (p=0.000)
BenchmarkHTTPClientServer-2 154µs × (0.90,1.08) 149µs × (0.90,1.08) -3.43% (p=0.007)
BenchmarkHTTPClientServer-4 138µs × (0.97,1.04) 138µs × (0.96,1.04) ~ (p=0.670)
BenchmarkJSONEncode 40.2ms × (0.98,1.02) 40.2ms × (0.98,1.05) ~ (p=0.828)
BenchmarkJSONEncode-2 35.1ms × (0.99,1.02) 35.2ms × (0.98,1.03) ~ (p=0.392)
BenchmarkJSONEncode-4 35.3ms × (0.98,1.03) 35.3ms × (0.98,1.02) ~ (p=0.813)
BenchmarkJSONDecode 119ms × (0.97,1.02) 117ms × (0.98,1.02) -1.80% (p=0.000)
BenchmarkJSONDecode-2 115ms × (0.99,1.02) 114ms × (0.98,1.02) -1.18% (p=0.000)
BenchmarkJSONDecode-4 116ms × (0.98,1.02) 114ms × (0.98,1.02) -1.43% (p=0.000)
BenchmarkMandelbrot200 6.03ms × (1.00,1.01) 6.03ms × (1.00,1.01) ~ (p=0.985)
BenchmarkMandelbrot200-2 6.03ms × (1.00,1.01) 6.02ms × (1.00,1.01) ~ (p=0.320)
BenchmarkMandelbrot200-4 6.03ms × (1.00,1.01) 6.03ms × (1.00,1.01) ~ (p=0.799)
BenchmarkGoParse 8.63ms × (0.89,1.10) 8.58ms × (0.93,1.09) ~ (p=0.667)
BenchmarkGoParse-2 8.20ms × (0.97,1.04) 8.37ms × (0.97,1.04) +1.96% (p=0.001)
BenchmarkGoParse-4 8.00ms × (0.98,1.02) 8.14ms × (0.99,1.02) +1.75% (p=0.000)
BenchmarkRegexpMatchEasy0_32 162ns × (1.00,1.01) 164ns × (0.98,1.04) +1.35% (p=0.011)
BenchmarkRegexpMatchEasy0_32-2 161ns × (1.00,1.01) 161ns × (1.00,1.00) ~ (p=0.185)
BenchmarkRegexpMatchEasy0_32-4 161ns × (1.00,1.00) 161ns × (1.00,1.00) -0.19% (p=0.001)
BenchmarkRegexpMatchEasy0_1K 540ns × (0.99,1.02) 566ns × (0.98,1.04) +4.98% (p=0.000)
BenchmarkRegexpMatchEasy0_1K-2 540ns × (0.99,1.01) 557ns × (0.99,1.01) +3.21% (p=0.000)
BenchmarkRegexpMatchEasy0_1K-4 541ns × (0.99,1.01) 559ns × (0.99,1.01) +3.26% (p=0.000)
BenchmarkRegexpMatchEasy1_32 139ns × (0.98,1.04) 139ns × (0.99,1.03) ~ (p=0.979)
BenchmarkRegexpMatchEasy1_32-2 139ns × (0.99,1.04) 139ns × (0.99,1.02) ~ (p=0.777)
BenchmarkRegexpMatchEasy1_32-4 139ns × (0.98,1.04) 139ns × (0.99,1.04) ~ (p=0.771)
BenchmarkRegexpMatchEasy1_1K 890ns × (0.99,1.03) 885ns × (1.00,1.01) -0.50% (p=0.004)
BenchmarkRegexpMatchEasy1_1K-2 888ns × (0.99,1.01) 885ns × (0.99,1.01) -0.37% (p=0.004)
BenchmarkRegexpMatchEasy1_1K-4 890ns × (0.99,1.02) 884ns × (1.00,1.00) -0.70% (p=0.000)
BenchmarkRegexpMatchMedium_32 252ns × (0.99,1.01) 251ns × (0.99,1.01) ~ (p=0.081)
BenchmarkRegexpMatchMedium_32-2 254ns × (0.99,1.04) 252ns × (0.99,1.01) -0.78% (p=0.027)
BenchmarkRegexpMatchMedium_32-4 253ns × (0.99,1.04) 252ns × (0.99,1.01) -0.70% (p=0.022)
BenchmarkRegexpMatchMedium_1K 72.9µs × (0.99,1.01) 72.7µs × (1.00,1.00) ~ (p=0.064)
BenchmarkRegexpMatchMedium_1K-2 74.1µs × (0.98,1.05) 72.9µs × (1.00,1.01) -1.61% (p=0.001)
BenchmarkRegexpMatchMedium_1K-4 73.6µs × (0.99,1.05) 72.8µs × (1.00,1.00) -1.13% (p=0.007)
BenchmarkRegexpMatchHard_32 3.88µs × (0.99,1.03) 3.92µs × (0.98,1.05) ~ (p=0.143)
BenchmarkRegexpMatchHard_32-2 3.89µs × (0.99,1.03) 3.93µs × (0.98,1.09) ~ (p=0.278)
BenchmarkRegexpMatchHard_32-4 3.90µs × (0.99,1.05) 3.93µs × (0.98,1.05) ~ (p=0.252)
BenchmarkRegexpMatchHard_1K 118µs × (0.99,1.01) 117µs × (0.99,1.02) -0.54% (p=0.003)
BenchmarkRegexpMatchHard_1K-2 118µs × (0.99,1.01) 118µs × (0.99,1.03) ~ (p=0.581)
BenchmarkRegexpMatchHard_1K-4 118µs × (0.99,1.02) 117µs × (0.99,1.01) -0.54% (p=0.002)
BenchmarkRevcomp 991ms × (0.95,1.10) 989ms × (0.94,1.08) ~ (p=0.879)
BenchmarkRevcomp-2 978ms × (0.95,1.11) 962ms × (0.96,1.08) ~ (p=0.257)
BenchmarkRevcomp-4 979ms × (0.96,1.07) 974ms × (0.96,1.11) ~ (p=0.678)
BenchmarkTemplate 141ms × (0.99,1.02) 145ms × (0.99,1.02) +2.75% (p=0.000)
BenchmarkTemplate-2 135ms × (0.98,1.02) 138ms × (0.99,1.02) +2.34% (p=0.000)
BenchmarkTemplate-4 136ms × (0.98,1.02) 140ms × (0.99,1.02) +2.71% (p=0.000)
BenchmarkTimeParse 640ns × (0.99,1.01) 622ns × (0.99,1.01) -2.88% (p=0.000)
BenchmarkTimeParse-2 640ns × (0.99,1.01) 622ns × (1.00,1.00) -2.81% (p=0.000)
BenchmarkTimeParse-4 640ns × (1.00,1.01) 622ns × (0.99,1.01) -2.82% (p=0.000)
BenchmarkTimeFormat 730ns × (0.98,1.02) 731ns × (0.98,1.03) ~ (p=0.767)
BenchmarkTimeFormat-2 709ns × (0.99,1.02) 707ns × (0.99,1.02) ~ (p=0.347)
BenchmarkTimeFormat-4 717ns × (0.98,1.01) 718ns × (0.98,1.02) ~ (p=0.793)
Change-Id: Ie779c47e912bf80eb918bafa13638bd8dfd6c2d9
Reviewed-on: https://go-review.googlesource.com/9406
Reviewed-by: Rick Hudson <rlh@golang.org>
2015-04-27 20:45:57 -06:00
|
|
|
|
if i != 0 {
|
|
|
|
|
// Avoid needless hbits.next() on last iteration.
|
|
|
|
|
hbits = hbits.next()
|
|
|
|
|
}
|
2016-05-01 19:02:41 -06:00
|
|
|
|
// Load bits once. See CL 22712 and issue 16973 for discussion.
|
|
|
|
|
bits := hbits.bits()
|
2015-05-04 08:19:24 -06:00
|
|
|
|
// During checkmarking, 1-word objects store the checkmark
|
|
|
|
|
// in the type bit for the one word. The only one-word objects
|
|
|
|
|
// are pointers, or else they'd be merged with other non-pointer
|
|
|
|
|
// data into larger allocations.
|
2016-05-01 19:02:41 -06:00
|
|
|
|
if i != 1*sys.PtrSize && bits&bitScan == 0 {
|
runtime: optimize heapBitsSetType
For the conversion of the heap bitmap from 4-bit to 2-bit fields,
I replaced heapBitsSetType with the dumbest thing that could possibly work:
two atomic operations (atomicand8+atomicor8) per 2-bit field.
This CL replaces that code with a proper implementation that
avoids the atomics whenever possible. Benchmarks vs base CL
(before the conversion to 2-bit heap bitmap) and vs Go 1.4 below.
Compared to Go 1.4, SetTypePtr (a 1-pointer allocation)
is 10ns slower because a race against the concurrent GC requires the
use of an atomicor8 that used to be an ordinary write. This slowdown
was present even in the base CL.
Compared to both Go 1.4 and base, SetTypeNode8 (a 10-word allocation)
is 10ns slower because it too needs a new atomic, because with the
denser representation, the byte on the end of the allocation is now shared
with the object next to it; this was not true with the 4-bit representation.
Excluding these two (fundamental) slowdowns due to the use of atomics,
the new code is noticeably faster than both Go 1.4 and the base CL.
The next CL will reintroduce the ``typeDead'' optimization.
Stats are from 5 runs on a MacBookPro10,2 (late 2012 Core i5).
Compared to base CL (** = new atomic)
name old mean new mean delta
SetTypePtr 14.1ns × (0.99,1.02) 14.7ns × (0.93,1.10) ~ (p=0.175)
SetTypePtr8 18.4ns × (1.00,1.01) 18.6ns × (0.81,1.21) ~ (p=0.866)
SetTypePtr16 28.7ns × (1.00,1.00) 22.4ns × (0.90,1.27) -21.88% (p=0.015)
SetTypePtr32 52.3ns × (1.00,1.00) 33.8ns × (0.93,1.24) -35.37% (p=0.001)
SetTypePtr64 79.2ns × (1.00,1.00) 55.1ns × (1.00,1.01) -30.43% (p=0.000)
SetTypePtr126 118ns × (1.00,1.00) 100ns × (1.00,1.00) -15.97% (p=0.000)
SetTypePtr128 130ns × (0.92,1.19) 98ns × (1.00,1.00) -24.36% (p=0.008)
SetTypePtrSlice 726ns × (0.96,1.08) 760ns × (1.00,1.00) ~ (p=0.152)
SetTypeNode1 14.1ns × (0.94,1.15) 12.0ns × (1.00,1.01) -14.60% (p=0.020)
SetTypeNode1Slice 135ns × (0.96,1.07) 88ns × (1.00,1.00) -34.53% (p=0.000)
SetTypeNode8 20.9ns × (1.00,1.01) 32.6ns × (1.00,1.00) +55.37% (p=0.000) **
SetTypeNode8Slice 414ns × (0.99,1.02) 244ns × (1.00,1.00) -41.09% (p=0.000)
SetTypeNode64 80.0ns × (1.00,1.00) 57.4ns × (1.00,1.00) -28.23% (p=0.000)
SetTypeNode64Slice 2.15µs × (1.00,1.01) 1.56µs × (1.00,1.00) -27.43% (p=0.000)
SetTypeNode124 119ns × (0.99,1.00) 100ns × (1.00,1.00) -16.11% (p=0.000)
SetTypeNode124Slice 3.40µs × (1.00,1.00) 2.93µs × (1.00,1.00) -13.80% (p=0.000)
SetTypeNode126 120ns × (1.00,1.01) 98ns × (1.00,1.00) -18.19% (p=0.000)
SetTypeNode126Slice 3.53µs × (0.98,1.08) 3.02µs × (1.00,1.00) -14.49% (p=0.002)
SetTypeNode1024 726ns × (0.97,1.09) 740ns × (1.00,1.00) ~ (p=0.451)
SetTypeNode1024Slice 24.9µs × (0.89,1.37) 23.1µs × (1.00,1.00) ~ (p=0.476)
Compared to Go 1.4 (** = new atomic)
name old mean new mean delta
SetTypePtr 5.71ns × (0.89,1.19) 14.68ns × (0.93,1.10) +157.24% (p=0.000) **
SetTypePtr8 19.3ns × (0.96,1.10) 18.6ns × (0.81,1.21) ~ (p=0.638)
SetTypePtr16 30.7ns × (0.99,1.03) 22.4ns × (0.90,1.27) -26.88% (p=0.005)
SetTypePtr32 51.5ns × (1.00,1.00) 33.8ns × (0.93,1.24) -34.40% (p=0.001)
SetTypePtr64 83.6ns × (0.94,1.12) 55.1ns × (1.00,1.01) -34.12% (p=0.001)
SetTypePtr126 137ns × (0.87,1.26) 100ns × (1.00,1.00) -27.10% (p=0.028)
SetTypePtrSlice 865ns × (0.80,1.23) 760ns × (1.00,1.00) ~ (p=0.243)
SetTypeNode1 15.2ns × (0.88,1.12) 12.0ns × (1.00,1.01) -20.89% (p=0.014)
SetTypeNode1Slice 156ns × (0.93,1.16) 88ns × (1.00,1.00) -43.57% (p=0.001)
SetTypeNode8 23.8ns × (0.90,1.18) 32.6ns × (1.00,1.00) +36.76% (p=0.003) **
SetTypeNode8Slice 502ns × (0.92,1.10) 244ns × (1.00,1.00) -51.46% (p=0.000)
SetTypeNode64 85.6ns × (0.94,1.11) 57.4ns × (1.00,1.00) -32.89% (p=0.001)
SetTypeNode64Slice 2.36µs × (0.91,1.14) 1.56µs × (1.00,1.00) -33.96% (p=0.002)
SetTypeNode124 130ns × (0.91,1.12) 100ns × (1.00,1.00) -23.49% (p=0.004)
SetTypeNode124Slice 3.81µs × (0.90,1.22) 2.93µs × (1.00,1.00) -23.09% (p=0.025)
There are fewer benchmarks vs Go 1.4 because unrolling directly
into the heap bitmap is not yet implemented, so those would not
be meaningful comparisons.
These benchmarks were not present in Go 1.4 as distributed.
The backport to Go 1.4 is in github.com/rsc/go's go14bench branch,
commit 71d5ee5.
Change-Id: I95ed05a22bf484b0fc9efad549279e766c98d2b6
Reviewed-on: https://go-review.googlesource.com/9704
Reviewed-by: Rick Hudson <rlh@golang.org>
2015-05-04 09:30:10 -06:00
|
|
|
|
break // no more pointers in this object
|
|
|
|
|
}
|
2016-05-01 19:02:41 -06:00
|
|
|
|
if bits&bitPointer == 0 {
|
runtime: optimize heapBitsSetType
For the conversion of the heap bitmap from 4-bit to 2-bit fields,
I replaced heapBitsSetType with the dumbest thing that could possibly work:
two atomic operations (atomicand8+atomicor8) per 2-bit field.
This CL replaces that code with a proper implementation that
avoids the atomics whenever possible. Benchmarks vs base CL
(before the conversion to 2-bit heap bitmap) and vs Go 1.4 below.
Compared to Go 1.4, SetTypePtr (a 1-pointer allocation)
is 10ns slower because a race against the concurrent GC requires the
use of an atomicor8 that used to be an ordinary write. This slowdown
was present even in the base CL.
Compared to both Go 1.4 and base, SetTypeNode8 (a 10-word allocation)
is 10ns slower because it too needs a new atomic, because with the
denser representation, the byte on the end of the allocation is now shared
with the object next to it; this was not true with the 4-bit representation.
Excluding these two (fundamental) slowdowns due to the use of atomics,
the new code is noticeably faster than both Go 1.4 and the base CL.
The next CL will reintroduce the ``typeDead'' optimization.
Stats are from 5 runs on a MacBookPro10,2 (late 2012 Core i5).
Compared to base CL (** = new atomic)
name old mean new mean delta
SetTypePtr 14.1ns × (0.99,1.02) 14.7ns × (0.93,1.10) ~ (p=0.175)
SetTypePtr8 18.4ns × (1.00,1.01) 18.6ns × (0.81,1.21) ~ (p=0.866)
SetTypePtr16 28.7ns × (1.00,1.00) 22.4ns × (0.90,1.27) -21.88% (p=0.015)
SetTypePtr32 52.3ns × (1.00,1.00) 33.8ns × (0.93,1.24) -35.37% (p=0.001)
SetTypePtr64 79.2ns × (1.00,1.00) 55.1ns × (1.00,1.01) -30.43% (p=0.000)
SetTypePtr126 118ns × (1.00,1.00) 100ns × (1.00,1.00) -15.97% (p=0.000)
SetTypePtr128 130ns × (0.92,1.19) 98ns × (1.00,1.00) -24.36% (p=0.008)
SetTypePtrSlice 726ns × (0.96,1.08) 760ns × (1.00,1.00) ~ (p=0.152)
SetTypeNode1 14.1ns × (0.94,1.15) 12.0ns × (1.00,1.01) -14.60% (p=0.020)
SetTypeNode1Slice 135ns × (0.96,1.07) 88ns × (1.00,1.00) -34.53% (p=0.000)
SetTypeNode8 20.9ns × (1.00,1.01) 32.6ns × (1.00,1.00) +55.37% (p=0.000) **
SetTypeNode8Slice 414ns × (0.99,1.02) 244ns × (1.00,1.00) -41.09% (p=0.000)
SetTypeNode64 80.0ns × (1.00,1.00) 57.4ns × (1.00,1.00) -28.23% (p=0.000)
SetTypeNode64Slice 2.15µs × (1.00,1.01) 1.56µs × (1.00,1.00) -27.43% (p=0.000)
SetTypeNode124 119ns × (0.99,1.00) 100ns × (1.00,1.00) -16.11% (p=0.000)
SetTypeNode124Slice 3.40µs × (1.00,1.00) 2.93µs × (1.00,1.00) -13.80% (p=0.000)
SetTypeNode126 120ns × (1.00,1.01) 98ns × (1.00,1.00) -18.19% (p=0.000)
SetTypeNode126Slice 3.53µs × (0.98,1.08) 3.02µs × (1.00,1.00) -14.49% (p=0.002)
SetTypeNode1024 726ns × (0.97,1.09) 740ns × (1.00,1.00) ~ (p=0.451)
SetTypeNode1024Slice 24.9µs × (0.89,1.37) 23.1µs × (1.00,1.00) ~ (p=0.476)
Compared to Go 1.4 (** = new atomic)
name old mean new mean delta
SetTypePtr 5.71ns × (0.89,1.19) 14.68ns × (0.93,1.10) +157.24% (p=0.000) **
SetTypePtr8 19.3ns × (0.96,1.10) 18.6ns × (0.81,1.21) ~ (p=0.638)
SetTypePtr16 30.7ns × (0.99,1.03) 22.4ns × (0.90,1.27) -26.88% (p=0.005)
SetTypePtr32 51.5ns × (1.00,1.00) 33.8ns × (0.93,1.24) -34.40% (p=0.001)
SetTypePtr64 83.6ns × (0.94,1.12) 55.1ns × (1.00,1.01) -34.12% (p=0.001)
SetTypePtr126 137ns × (0.87,1.26) 100ns × (1.00,1.00) -27.10% (p=0.028)
SetTypePtrSlice 865ns × (0.80,1.23) 760ns × (1.00,1.00) ~ (p=0.243)
SetTypeNode1 15.2ns × (0.88,1.12) 12.0ns × (1.00,1.01) -20.89% (p=0.014)
SetTypeNode1Slice 156ns × (0.93,1.16) 88ns × (1.00,1.00) -43.57% (p=0.001)
SetTypeNode8 23.8ns × (0.90,1.18) 32.6ns × (1.00,1.00) +36.76% (p=0.003) **
SetTypeNode8Slice 502ns × (0.92,1.10) 244ns × (1.00,1.00) -51.46% (p=0.000)
SetTypeNode64 85.6ns × (0.94,1.11) 57.4ns × (1.00,1.00) -32.89% (p=0.001)
SetTypeNode64Slice 2.36µs × (0.91,1.14) 1.56µs × (1.00,1.00) -33.96% (p=0.002)
SetTypeNode124 130ns × (0.91,1.12) 100ns × (1.00,1.00) -23.49% (p=0.004)
SetTypeNode124Slice 3.81µs × (0.90,1.22) 2.93µs × (1.00,1.00) -23.09% (p=0.025)
There are fewer benchmarks vs Go 1.4 because unrolling directly
into the heap bitmap is not yet implemented, so those would not
be meaningful comparisons.
These benchmarks were not present in Go 1.4 as distributed.
The backport to Go 1.4 is in github.com/rsc/go's go14bench branch,
commit 71d5ee5.
Change-Id: I95ed05a22bf484b0fc9efad549279e766c98d2b6
Reviewed-on: https://go-review.googlesource.com/9704
Reviewed-by: Rick Hudson <rlh@golang.org>
2015-05-04 09:30:10 -06:00
|
|
|
|
continue // not a pointer
|
2015-02-19 11:38:46 -07:00
|
|
|
|
}
|
cmd/internal/gc, runtime: use 1-bit bitmap for stack frames, data, bss
The bitmaps were 2 bits per pointer because we needed to distinguish
scalar, pointer, multiword, and we used the leftover value to distinguish
uninitialized from scalar, even though the garbage collector (GC) didn't care.
Now that there are no multiword structures from the GC's point of view,
cut the bitmaps down to 1 bit per pointer, recording just live pointer vs not.
The GC assumes the same layout for stack frames and for the maps
describing the global data and bss sections, so change them all in one CL.
The code still refers to 4-bit heap bitmaps and 2-bit "type bitmaps", since
the 2-bit representation lives (at least for now) in some of the reflect data.
Because these stack frame bitmaps are stored directly in the rodata in
the binary, this CL reduces the size of the 6g binary by about 1.1%.
Performance change is basically a wash, but using less memory,
and smaller binaries, and enables other bitmap reductions.
name old mean new mean delta
BenchmarkBinaryTree17 13.2s × (0.97,1.03) 13.0s × (0.99,1.01) -0.93% (p=0.005)
BenchmarkBinaryTree17-2 9.69s × (0.96,1.05) 9.51s × (0.96,1.03) -1.86% (p=0.001)
BenchmarkBinaryTree17-4 10.1s × (0.97,1.05) 10.0s × (0.96,1.05) ~ (p=0.141)
BenchmarkFannkuch11 4.35s × (0.99,1.01) 4.43s × (0.98,1.04) +1.75% (p=0.001)
BenchmarkFannkuch11-2 4.31s × (0.99,1.03) 4.32s × (1.00,1.00) ~ (p=0.095)
BenchmarkFannkuch11-4 4.32s × (0.99,1.02) 4.38s × (0.98,1.04) +1.38% (p=0.008)
BenchmarkFmtFprintfEmpty 83.5ns × (0.97,1.10) 87.3ns × (0.92,1.11) +4.55% (p=0.014)
BenchmarkFmtFprintfEmpty-2 81.8ns × (0.98,1.04) 82.5ns × (0.97,1.08) ~ (p=0.364)
BenchmarkFmtFprintfEmpty-4 80.9ns × (0.99,1.01) 82.6ns × (0.97,1.08) +2.12% (p=0.010)
BenchmarkFmtFprintfString 320ns × (0.95,1.04) 322ns × (0.97,1.05) ~ (p=0.368)
BenchmarkFmtFprintfString-2 303ns × (0.97,1.04) 304ns × (0.97,1.04) ~ (p=0.484)
BenchmarkFmtFprintfString-4 305ns × (0.97,1.05) 306ns × (0.98,1.05) ~ (p=0.543)
BenchmarkFmtFprintfInt 311ns × (0.98,1.03) 319ns × (0.97,1.03) +2.63% (p=0.000)
BenchmarkFmtFprintfInt-2 297ns × (0.98,1.04) 301ns × (0.97,1.04) +1.19% (p=0.023)
BenchmarkFmtFprintfInt-4 302ns × (0.98,1.02) 304ns × (0.97,1.03) ~ (p=0.126)
BenchmarkFmtFprintfIntInt 554ns × (0.96,1.05) 554ns × (0.97,1.03) ~ (p=0.975)
BenchmarkFmtFprintfIntInt-2 520ns × (0.98,1.03) 517ns × (0.98,1.02) ~ (p=0.153)
BenchmarkFmtFprintfIntInt-4 524ns × (0.98,1.02) 525ns × (0.98,1.03) ~ (p=0.597)
BenchmarkFmtFprintfPrefixedInt 433ns × (0.97,1.06) 434ns × (0.97,1.06) ~ (p=0.804)
BenchmarkFmtFprintfPrefixedInt-2 413ns × (0.98,1.04) 413ns × (0.98,1.03) ~ (p=0.881)
BenchmarkFmtFprintfPrefixedInt-4 420ns × (0.97,1.03) 421ns × (0.97,1.03) ~ (p=0.561)
BenchmarkFmtFprintfFloat 620ns × (0.99,1.03) 636ns × (0.97,1.03) +2.57% (p=0.000)
BenchmarkFmtFprintfFloat-2 601ns × (0.98,1.02) 617ns × (0.98,1.03) +2.58% (p=0.000)
BenchmarkFmtFprintfFloat-4 613ns × (0.98,1.03) 626ns × (0.98,1.02) +2.15% (p=0.000)
BenchmarkFmtManyArgs 2.19µs × (0.96,1.04) 2.23µs × (0.97,1.02) +1.65% (p=0.000)
BenchmarkFmtManyArgs-2 2.08µs × (0.98,1.03) 2.10µs × (0.99,1.02) +0.79% (p=0.019)
BenchmarkFmtManyArgs-4 2.10µs × (0.98,1.02) 2.13µs × (0.98,1.02) +1.72% (p=0.000)
BenchmarkGobDecode 21.3ms × (0.97,1.05) 21.1ms × (0.97,1.04) -1.36% (p=0.025)
BenchmarkGobDecode-2 20.0ms × (0.97,1.03) 19.2ms × (0.97,1.03) -4.00% (p=0.000)
BenchmarkGobDecode-4 19.5ms × (0.99,1.02) 19.0ms × (0.99,1.01) -2.39% (p=0.000)
BenchmarkGobEncode 18.3ms × (0.95,1.07) 18.1ms × (0.96,1.08) ~ (p=0.305)
BenchmarkGobEncode-2 16.8ms × (0.97,1.02) 16.4ms × (0.98,1.02) -2.79% (p=0.000)
BenchmarkGobEncode-4 15.4ms × (0.98,1.02) 15.4ms × (0.98,1.02) ~ (p=0.465)
BenchmarkGzip 650ms × (0.98,1.03) 655ms × (0.97,1.04) ~ (p=0.075)
BenchmarkGzip-2 652ms × (0.98,1.03) 655ms × (0.98,1.02) ~ (p=0.337)
BenchmarkGzip-4 656ms × (0.98,1.04) 653ms × (0.98,1.03) ~ (p=0.291)
BenchmarkGunzip 143ms × (1.00,1.01) 143ms × (1.00,1.01) ~ (p=0.507)
BenchmarkGunzip-2 143ms × (1.00,1.01) 143ms × (1.00,1.01) ~ (p=0.313)
BenchmarkGunzip-4 143ms × (1.00,1.01) 143ms × (1.00,1.01) ~ (p=0.312)
BenchmarkHTTPClientServer 110µs × (0.98,1.03) 109µs × (0.99,1.02) -1.40% (p=0.000)
BenchmarkHTTPClientServer-2 154µs × (0.90,1.08) 149µs × (0.90,1.08) -3.43% (p=0.007)
BenchmarkHTTPClientServer-4 138µs × (0.97,1.04) 138µs × (0.96,1.04) ~ (p=0.670)
BenchmarkJSONEncode 40.2ms × (0.98,1.02) 40.2ms × (0.98,1.05) ~ (p=0.828)
BenchmarkJSONEncode-2 35.1ms × (0.99,1.02) 35.2ms × (0.98,1.03) ~ (p=0.392)
BenchmarkJSONEncode-4 35.3ms × (0.98,1.03) 35.3ms × (0.98,1.02) ~ (p=0.813)
BenchmarkJSONDecode 119ms × (0.97,1.02) 117ms × (0.98,1.02) -1.80% (p=0.000)
BenchmarkJSONDecode-2 115ms × (0.99,1.02) 114ms × (0.98,1.02) -1.18% (p=0.000)
BenchmarkJSONDecode-4 116ms × (0.98,1.02) 114ms × (0.98,1.02) -1.43% (p=0.000)
BenchmarkMandelbrot200 6.03ms × (1.00,1.01) 6.03ms × (1.00,1.01) ~ (p=0.985)
BenchmarkMandelbrot200-2 6.03ms × (1.00,1.01) 6.02ms × (1.00,1.01) ~ (p=0.320)
BenchmarkMandelbrot200-4 6.03ms × (1.00,1.01) 6.03ms × (1.00,1.01) ~ (p=0.799)
BenchmarkGoParse 8.63ms × (0.89,1.10) 8.58ms × (0.93,1.09) ~ (p=0.667)
BenchmarkGoParse-2 8.20ms × (0.97,1.04) 8.37ms × (0.97,1.04) +1.96% (p=0.001)
BenchmarkGoParse-4 8.00ms × (0.98,1.02) 8.14ms × (0.99,1.02) +1.75% (p=0.000)
BenchmarkRegexpMatchEasy0_32 162ns × (1.00,1.01) 164ns × (0.98,1.04) +1.35% (p=0.011)
BenchmarkRegexpMatchEasy0_32-2 161ns × (1.00,1.01) 161ns × (1.00,1.00) ~ (p=0.185)
BenchmarkRegexpMatchEasy0_32-4 161ns × (1.00,1.00) 161ns × (1.00,1.00) -0.19% (p=0.001)
BenchmarkRegexpMatchEasy0_1K 540ns × (0.99,1.02) 566ns × (0.98,1.04) +4.98% (p=0.000)
BenchmarkRegexpMatchEasy0_1K-2 540ns × (0.99,1.01) 557ns × (0.99,1.01) +3.21% (p=0.000)
BenchmarkRegexpMatchEasy0_1K-4 541ns × (0.99,1.01) 559ns × (0.99,1.01) +3.26% (p=0.000)
BenchmarkRegexpMatchEasy1_32 139ns × (0.98,1.04) 139ns × (0.99,1.03) ~ (p=0.979)
BenchmarkRegexpMatchEasy1_32-2 139ns × (0.99,1.04) 139ns × (0.99,1.02) ~ (p=0.777)
BenchmarkRegexpMatchEasy1_32-4 139ns × (0.98,1.04) 139ns × (0.99,1.04) ~ (p=0.771)
BenchmarkRegexpMatchEasy1_1K 890ns × (0.99,1.03) 885ns × (1.00,1.01) -0.50% (p=0.004)
BenchmarkRegexpMatchEasy1_1K-2 888ns × (0.99,1.01) 885ns × (0.99,1.01) -0.37% (p=0.004)
BenchmarkRegexpMatchEasy1_1K-4 890ns × (0.99,1.02) 884ns × (1.00,1.00) -0.70% (p=0.000)
BenchmarkRegexpMatchMedium_32 252ns × (0.99,1.01) 251ns × (0.99,1.01) ~ (p=0.081)
BenchmarkRegexpMatchMedium_32-2 254ns × (0.99,1.04) 252ns × (0.99,1.01) -0.78% (p=0.027)
BenchmarkRegexpMatchMedium_32-4 253ns × (0.99,1.04) 252ns × (0.99,1.01) -0.70% (p=0.022)
BenchmarkRegexpMatchMedium_1K 72.9µs × (0.99,1.01) 72.7µs × (1.00,1.00) ~ (p=0.064)
BenchmarkRegexpMatchMedium_1K-2 74.1µs × (0.98,1.05) 72.9µs × (1.00,1.01) -1.61% (p=0.001)
BenchmarkRegexpMatchMedium_1K-4 73.6µs × (0.99,1.05) 72.8µs × (1.00,1.00) -1.13% (p=0.007)
BenchmarkRegexpMatchHard_32 3.88µs × (0.99,1.03) 3.92µs × (0.98,1.05) ~ (p=0.143)
BenchmarkRegexpMatchHard_32-2 3.89µs × (0.99,1.03) 3.93µs × (0.98,1.09) ~ (p=0.278)
BenchmarkRegexpMatchHard_32-4 3.90µs × (0.99,1.05) 3.93µs × (0.98,1.05) ~ (p=0.252)
BenchmarkRegexpMatchHard_1K 118µs × (0.99,1.01) 117µs × (0.99,1.02) -0.54% (p=0.003)
BenchmarkRegexpMatchHard_1K-2 118µs × (0.99,1.01) 118µs × (0.99,1.03) ~ (p=0.581)
BenchmarkRegexpMatchHard_1K-4 118µs × (0.99,1.02) 117µs × (0.99,1.01) -0.54% (p=0.002)
BenchmarkRevcomp 991ms × (0.95,1.10) 989ms × (0.94,1.08) ~ (p=0.879)
BenchmarkRevcomp-2 978ms × (0.95,1.11) 962ms × (0.96,1.08) ~ (p=0.257)
BenchmarkRevcomp-4 979ms × (0.96,1.07) 974ms × (0.96,1.11) ~ (p=0.678)
BenchmarkTemplate 141ms × (0.99,1.02) 145ms × (0.99,1.02) +2.75% (p=0.000)
BenchmarkTemplate-2 135ms × (0.98,1.02) 138ms × (0.99,1.02) +2.34% (p=0.000)
BenchmarkTemplate-4 136ms × (0.98,1.02) 140ms × (0.99,1.02) +2.71% (p=0.000)
BenchmarkTimeParse 640ns × (0.99,1.01) 622ns × (0.99,1.01) -2.88% (p=0.000)
BenchmarkTimeParse-2 640ns × (0.99,1.01) 622ns × (1.00,1.00) -2.81% (p=0.000)
BenchmarkTimeParse-4 640ns × (1.00,1.01) 622ns × (0.99,1.01) -2.82% (p=0.000)
BenchmarkTimeFormat 730ns × (0.98,1.02) 731ns × (0.98,1.03) ~ (p=0.767)
BenchmarkTimeFormat-2 709ns × (0.99,1.02) 707ns × (0.99,1.02) ~ (p=0.347)
BenchmarkTimeFormat-4 717ns × (0.98,1.01) 718ns × (0.98,1.02) ~ (p=0.793)
Change-Id: Ie779c47e912bf80eb918bafa13638bd8dfd6c2d9
Reviewed-on: https://go-review.googlesource.com/9406
Reviewed-by: Rick Hudson <rlh@golang.org>
2015-04-27 20:45:57 -06:00
|
|
|
|
|
runtime: optimize heapBitsSetType
For the conversion of the heap bitmap from 4-bit to 2-bit fields,
I replaced heapBitsSetType with the dumbest thing that could possibly work:
two atomic operations (atomicand8+atomicor8) per 2-bit field.
This CL replaces that code with a proper implementation that
avoids the atomics whenever possible. Benchmarks vs base CL
(before the conversion to 2-bit heap bitmap) and vs Go 1.4 below.
Compared to Go 1.4, SetTypePtr (a 1-pointer allocation)
is 10ns slower because a race against the concurrent GC requires the
use of an atomicor8 that used to be an ordinary write. This slowdown
was present even in the base CL.
Compared to both Go 1.4 and base, SetTypeNode8 (a 10-word allocation)
is 10ns slower because it too needs a new atomic, because with the
denser representation, the byte on the end of the allocation is now shared
with the object next to it; this was not true with the 4-bit representation.
Excluding these two (fundamental) slowdowns due to the use of atomics,
the new code is noticeably faster than both Go 1.4 and the base CL.
The next CL will reintroduce the ``typeDead'' optimization.
Stats are from 5 runs on a MacBookPro10,2 (late 2012 Core i5).
Compared to base CL (** = new atomic)
name old mean new mean delta
SetTypePtr 14.1ns × (0.99,1.02) 14.7ns × (0.93,1.10) ~ (p=0.175)
SetTypePtr8 18.4ns × (1.00,1.01) 18.6ns × (0.81,1.21) ~ (p=0.866)
SetTypePtr16 28.7ns × (1.00,1.00) 22.4ns × (0.90,1.27) -21.88% (p=0.015)
SetTypePtr32 52.3ns × (1.00,1.00) 33.8ns × (0.93,1.24) -35.37% (p=0.001)
SetTypePtr64 79.2ns × (1.00,1.00) 55.1ns × (1.00,1.01) -30.43% (p=0.000)
SetTypePtr126 118ns × (1.00,1.00) 100ns × (1.00,1.00) -15.97% (p=0.000)
SetTypePtr128 130ns × (0.92,1.19) 98ns × (1.00,1.00) -24.36% (p=0.008)
SetTypePtrSlice 726ns × (0.96,1.08) 760ns × (1.00,1.00) ~ (p=0.152)
SetTypeNode1 14.1ns × (0.94,1.15) 12.0ns × (1.00,1.01) -14.60% (p=0.020)
SetTypeNode1Slice 135ns × (0.96,1.07) 88ns × (1.00,1.00) -34.53% (p=0.000)
SetTypeNode8 20.9ns × (1.00,1.01) 32.6ns × (1.00,1.00) +55.37% (p=0.000) **
SetTypeNode8Slice 414ns × (0.99,1.02) 244ns × (1.00,1.00) -41.09% (p=0.000)
SetTypeNode64 80.0ns × (1.00,1.00) 57.4ns × (1.00,1.00) -28.23% (p=0.000)
SetTypeNode64Slice 2.15µs × (1.00,1.01) 1.56µs × (1.00,1.00) -27.43% (p=0.000)
SetTypeNode124 119ns × (0.99,1.00) 100ns × (1.00,1.00) -16.11% (p=0.000)
SetTypeNode124Slice 3.40µs × (1.00,1.00) 2.93µs × (1.00,1.00) -13.80% (p=0.000)
SetTypeNode126 120ns × (1.00,1.01) 98ns × (1.00,1.00) -18.19% (p=0.000)
SetTypeNode126Slice 3.53µs × (0.98,1.08) 3.02µs × (1.00,1.00) -14.49% (p=0.002)
SetTypeNode1024 726ns × (0.97,1.09) 740ns × (1.00,1.00) ~ (p=0.451)
SetTypeNode1024Slice 24.9µs × (0.89,1.37) 23.1µs × (1.00,1.00) ~ (p=0.476)
Compared to Go 1.4 (** = new atomic)
name old mean new mean delta
SetTypePtr 5.71ns × (0.89,1.19) 14.68ns × (0.93,1.10) +157.24% (p=0.000) **
SetTypePtr8 19.3ns × (0.96,1.10) 18.6ns × (0.81,1.21) ~ (p=0.638)
SetTypePtr16 30.7ns × (0.99,1.03) 22.4ns × (0.90,1.27) -26.88% (p=0.005)
SetTypePtr32 51.5ns × (1.00,1.00) 33.8ns × (0.93,1.24) -34.40% (p=0.001)
SetTypePtr64 83.6ns × (0.94,1.12) 55.1ns × (1.00,1.01) -34.12% (p=0.001)
SetTypePtr126 137ns × (0.87,1.26) 100ns × (1.00,1.00) -27.10% (p=0.028)
SetTypePtrSlice 865ns × (0.80,1.23) 760ns × (1.00,1.00) ~ (p=0.243)
SetTypeNode1 15.2ns × (0.88,1.12) 12.0ns × (1.00,1.01) -20.89% (p=0.014)
SetTypeNode1Slice 156ns × (0.93,1.16) 88ns × (1.00,1.00) -43.57% (p=0.001)
SetTypeNode8 23.8ns × (0.90,1.18) 32.6ns × (1.00,1.00) +36.76% (p=0.003) **
SetTypeNode8Slice 502ns × (0.92,1.10) 244ns × (1.00,1.00) -51.46% (p=0.000)
SetTypeNode64 85.6ns × (0.94,1.11) 57.4ns × (1.00,1.00) -32.89% (p=0.001)
SetTypeNode64Slice 2.36µs × (0.91,1.14) 1.56µs × (1.00,1.00) -33.96% (p=0.002)
SetTypeNode124 130ns × (0.91,1.12) 100ns × (1.00,1.00) -23.49% (p=0.004)
SetTypeNode124Slice 3.81µs × (0.90,1.22) 2.93µs × (1.00,1.00) -23.09% (p=0.025)
There are fewer benchmarks vs Go 1.4 because unrolling directly
into the heap bitmap is not yet implemented, so those would not
be meaningful comparisons.
These benchmarks were not present in Go 1.4 as distributed.
The backport to Go 1.4 is in github.com/rsc/go's go14bench branch,
commit 71d5ee5.
Change-Id: I95ed05a22bf484b0fc9efad549279e766c98d2b6
Reviewed-on: https://go-review.googlesource.com/9704
Reviewed-by: Rick Hudson <rlh@golang.org>
2015-05-04 09:30:10 -06:00
|
|
|
|
// Work here is duplicated in scanblock and above.
|
|
|
|
|
// If you make changes here, make changes there too.
|
2015-02-19 11:38:46 -07:00
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|
obj := *(*uintptr)(unsafe.Pointer(b + i))
|
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|
|
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|
// At this point we have extracted the next potential pointer.
|
runtime: add fast check for self-loop pointer in scanobject
Addresses a problem reported on the mailing list.
This will come up mainly in programs custom allocators that batch allocations,
but it still helps in our programs, which mainly do not have such allocations.
name old mean new mean delta
BinaryTree17 5.95s × (0.97,1.03) 5.93s × (0.97,1.04) ~ (p=0.613)
Fannkuch11 4.46s × (0.98,1.04) 4.33s × (0.99,1.01) -2.93% (p=0.000)
FmtFprintfEmpty 86.6ns × (0.98,1.03) 86.8ns × (0.98,1.02) ~ (p=0.523)
FmtFprintfString 290ns × (0.98,1.05) 287ns × (0.98,1.03) ~ (p=0.061)
FmtFprintfInt 271ns × (0.98,1.04) 286ns × (0.99,1.01) +5.54% (p=0.000)
FmtFprintfIntInt 495ns × (0.98,1.04) 489ns × (0.99,1.01) -1.24% (p=0.015)
FmtFprintfPrefixedInt 391ns × (0.99,1.02) 407ns × (0.99,1.01) +4.00% (p=0.000)
FmtFprintfFloat 578ns × (0.99,1.01) 559ns × (0.99,1.01) -3.35% (p=0.000)
FmtManyArgs 1.96µs × (0.98,1.05) 1.94µs × (0.99,1.01) -1.33% (p=0.030)
GobDecode 15.9ms × (0.97,1.05) 15.7ms × (0.99,1.01) -1.35% (p=0.044)
GobEncode 11.4ms × (0.97,1.05) 11.3ms × (0.98,1.03) ~ (p=0.141)
Gzip 658ms × (0.98,1.05) 648ms × (0.99,1.01) -1.59% (p=0.009)
Gunzip 144ms × (0.99,1.03) 144ms × (0.99,1.01) ~ (p=0.867)
HTTPClientServer 92.1µs × (0.97,1.05) 90.3µs × (0.99,1.01) -1.89% (p=0.005)
JSONEncode 31.0ms × (0.96,1.07) 30.2ms × (0.98,1.03) -2.66% (p=0.001)
JSONDecode 110ms × (0.97,1.04) 107ms × (0.99,1.01) -2.59% (p=0.000)
Mandelbrot200 6.15ms × (0.98,1.04) 6.07ms × (0.99,1.02) -1.32% (p=0.045)
GoParse 6.79ms × (0.97,1.04) 6.74ms × (0.97,1.04) ~ (p=0.242)
RegexpMatchEasy0_32 158ns × (0.98,1.05) 155ns × (0.99,1.01) -1.64% (p=0.010)
RegexpMatchEasy0_1K 548ns × (0.97,1.04) 540ns × (0.99,1.01) -1.34% (p=0.042)
RegexpMatchEasy1_32 133ns × (0.97,1.04) 132ns × (0.97,1.05) ~ (p=0.466)
RegexpMatchEasy1_1K 899ns × (0.96,1.05) 878ns × (0.99,1.01) -2.32% (p=0.002)
RegexpMatchMedium_32 250ns × (0.96,1.03) 243ns × (0.99,1.01) -2.90% (p=0.000)
RegexpMatchMedium_1K 73.4µs × (0.98,1.04) 73.0µs × (0.98,1.04) ~ (p=0.411)
RegexpMatchHard_32 3.87µs × (0.97,1.07) 3.84µs × (0.98,1.04) ~ (p=0.273)
RegexpMatchHard_1K 120µs × (0.97,1.08) 117µs × (0.99,1.01) -2.06% (p=0.010)
Revcomp 940ms × (0.96,1.07) 924ms × (0.97,1.07) ~ (p=0.071)
Template 128ms × (0.96,1.05) 128ms × (0.99,1.01) ~ (p=0.502)
TimeParse 632ns × (0.96,1.07) 616ns × (0.99,1.01) -2.58% (p=0.001)
TimeFormat 671ns × (0.97,1.06) 657ns × (0.99,1.02) -2.10% (p=0.002)
In contrast to the one in test/bench/go1 (above), the binarytree program on the
shootout site uses more goroutines, batches allocations, and sets GOMAXPROCS
to runtime.NumCPU()*2.
Using that version, before vs after:
name old mean new mean delta
BinaryTree20 18.6s × (0.96,1.05) 11.3s × (0.98,1.02) -39.46% (p=0.000)
And Go 1.4 vs after:
name old mean new mean delta
BinaryTree20 13.0s × (0.97,1.02) 11.3s × (0.98,1.02) -13.21% (p=0.000)
There is still a scheduling problem - the raw run times are hiding the fact that
this chews up 2x the CPU - but we'll take care of that separately.
Change-Id: I3f5da879b24ae73a0d06745381ffb88c3744948b
Reviewed-on: https://go-review.googlesource.com/10220
Reviewed-by: Austin Clements <austin@google.com>
2015-05-18 09:40:29 -06:00
|
|
|
|
// Check if it points into heap and not back at the current object.
|
|
|
|
|
if obj != 0 && arena_start <= obj && obj < arena_used && obj-b >= n {
|
cmd/internal/gc, runtime: use 1-bit bitmap for stack frames, data, bss
The bitmaps were 2 bits per pointer because we needed to distinguish
scalar, pointer, multiword, and we used the leftover value to distinguish
uninitialized from scalar, even though the garbage collector (GC) didn't care.
Now that there are no multiword structures from the GC's point of view,
cut the bitmaps down to 1 bit per pointer, recording just live pointer vs not.
The GC assumes the same layout for stack frames and for the maps
describing the global data and bss sections, so change them all in one CL.
The code still refers to 4-bit heap bitmaps and 2-bit "type bitmaps", since
the 2-bit representation lives (at least for now) in some of the reflect data.
Because these stack frame bitmaps are stored directly in the rodata in
the binary, this CL reduces the size of the 6g binary by about 1.1%.
Performance change is basically a wash, but using less memory,
and smaller binaries, and enables other bitmap reductions.
name old mean new mean delta
BenchmarkBinaryTree17 13.2s × (0.97,1.03) 13.0s × (0.99,1.01) -0.93% (p=0.005)
BenchmarkBinaryTree17-2 9.69s × (0.96,1.05) 9.51s × (0.96,1.03) -1.86% (p=0.001)
BenchmarkBinaryTree17-4 10.1s × (0.97,1.05) 10.0s × (0.96,1.05) ~ (p=0.141)
BenchmarkFannkuch11 4.35s × (0.99,1.01) 4.43s × (0.98,1.04) +1.75% (p=0.001)
BenchmarkFannkuch11-2 4.31s × (0.99,1.03) 4.32s × (1.00,1.00) ~ (p=0.095)
BenchmarkFannkuch11-4 4.32s × (0.99,1.02) 4.38s × (0.98,1.04) +1.38% (p=0.008)
BenchmarkFmtFprintfEmpty 83.5ns × (0.97,1.10) 87.3ns × (0.92,1.11) +4.55% (p=0.014)
BenchmarkFmtFprintfEmpty-2 81.8ns × (0.98,1.04) 82.5ns × (0.97,1.08) ~ (p=0.364)
BenchmarkFmtFprintfEmpty-4 80.9ns × (0.99,1.01) 82.6ns × (0.97,1.08) +2.12% (p=0.010)
BenchmarkFmtFprintfString 320ns × (0.95,1.04) 322ns × (0.97,1.05) ~ (p=0.368)
BenchmarkFmtFprintfString-2 303ns × (0.97,1.04) 304ns × (0.97,1.04) ~ (p=0.484)
BenchmarkFmtFprintfString-4 305ns × (0.97,1.05) 306ns × (0.98,1.05) ~ (p=0.543)
BenchmarkFmtFprintfInt 311ns × (0.98,1.03) 319ns × (0.97,1.03) +2.63% (p=0.000)
BenchmarkFmtFprintfInt-2 297ns × (0.98,1.04) 301ns × (0.97,1.04) +1.19% (p=0.023)
BenchmarkFmtFprintfInt-4 302ns × (0.98,1.02) 304ns × (0.97,1.03) ~ (p=0.126)
BenchmarkFmtFprintfIntInt 554ns × (0.96,1.05) 554ns × (0.97,1.03) ~ (p=0.975)
BenchmarkFmtFprintfIntInt-2 520ns × (0.98,1.03) 517ns × (0.98,1.02) ~ (p=0.153)
BenchmarkFmtFprintfIntInt-4 524ns × (0.98,1.02) 525ns × (0.98,1.03) ~ (p=0.597)
BenchmarkFmtFprintfPrefixedInt 433ns × (0.97,1.06) 434ns × (0.97,1.06) ~ (p=0.804)
BenchmarkFmtFprintfPrefixedInt-2 413ns × (0.98,1.04) 413ns × (0.98,1.03) ~ (p=0.881)
BenchmarkFmtFprintfPrefixedInt-4 420ns × (0.97,1.03) 421ns × (0.97,1.03) ~ (p=0.561)
BenchmarkFmtFprintfFloat 620ns × (0.99,1.03) 636ns × (0.97,1.03) +2.57% (p=0.000)
BenchmarkFmtFprintfFloat-2 601ns × (0.98,1.02) 617ns × (0.98,1.03) +2.58% (p=0.000)
BenchmarkFmtFprintfFloat-4 613ns × (0.98,1.03) 626ns × (0.98,1.02) +2.15% (p=0.000)
BenchmarkFmtManyArgs 2.19µs × (0.96,1.04) 2.23µs × (0.97,1.02) +1.65% (p=0.000)
BenchmarkFmtManyArgs-2 2.08µs × (0.98,1.03) 2.10µs × (0.99,1.02) +0.79% (p=0.019)
BenchmarkFmtManyArgs-4 2.10µs × (0.98,1.02) 2.13µs × (0.98,1.02) +1.72% (p=0.000)
BenchmarkGobDecode 21.3ms × (0.97,1.05) 21.1ms × (0.97,1.04) -1.36% (p=0.025)
BenchmarkGobDecode-2 20.0ms × (0.97,1.03) 19.2ms × (0.97,1.03) -4.00% (p=0.000)
BenchmarkGobDecode-4 19.5ms × (0.99,1.02) 19.0ms × (0.99,1.01) -2.39% (p=0.000)
BenchmarkGobEncode 18.3ms × (0.95,1.07) 18.1ms × (0.96,1.08) ~ (p=0.305)
BenchmarkGobEncode-2 16.8ms × (0.97,1.02) 16.4ms × (0.98,1.02) -2.79% (p=0.000)
BenchmarkGobEncode-4 15.4ms × (0.98,1.02) 15.4ms × (0.98,1.02) ~ (p=0.465)
BenchmarkGzip 650ms × (0.98,1.03) 655ms × (0.97,1.04) ~ (p=0.075)
BenchmarkGzip-2 652ms × (0.98,1.03) 655ms × (0.98,1.02) ~ (p=0.337)
BenchmarkGzip-4 656ms × (0.98,1.04) 653ms × (0.98,1.03) ~ (p=0.291)
BenchmarkGunzip 143ms × (1.00,1.01) 143ms × (1.00,1.01) ~ (p=0.507)
BenchmarkGunzip-2 143ms × (1.00,1.01) 143ms × (1.00,1.01) ~ (p=0.313)
BenchmarkGunzip-4 143ms × (1.00,1.01) 143ms × (1.00,1.01) ~ (p=0.312)
BenchmarkHTTPClientServer 110µs × (0.98,1.03) 109µs × (0.99,1.02) -1.40% (p=0.000)
BenchmarkHTTPClientServer-2 154µs × (0.90,1.08) 149µs × (0.90,1.08) -3.43% (p=0.007)
BenchmarkHTTPClientServer-4 138µs × (0.97,1.04) 138µs × (0.96,1.04) ~ (p=0.670)
BenchmarkJSONEncode 40.2ms × (0.98,1.02) 40.2ms × (0.98,1.05) ~ (p=0.828)
BenchmarkJSONEncode-2 35.1ms × (0.99,1.02) 35.2ms × (0.98,1.03) ~ (p=0.392)
BenchmarkJSONEncode-4 35.3ms × (0.98,1.03) 35.3ms × (0.98,1.02) ~ (p=0.813)
BenchmarkJSONDecode 119ms × (0.97,1.02) 117ms × (0.98,1.02) -1.80% (p=0.000)
BenchmarkJSONDecode-2 115ms × (0.99,1.02) 114ms × (0.98,1.02) -1.18% (p=0.000)
BenchmarkJSONDecode-4 116ms × (0.98,1.02) 114ms × (0.98,1.02) -1.43% (p=0.000)
BenchmarkMandelbrot200 6.03ms × (1.00,1.01) 6.03ms × (1.00,1.01) ~ (p=0.985)
BenchmarkMandelbrot200-2 6.03ms × (1.00,1.01) 6.02ms × (1.00,1.01) ~ (p=0.320)
BenchmarkMandelbrot200-4 6.03ms × (1.00,1.01) 6.03ms × (1.00,1.01) ~ (p=0.799)
BenchmarkGoParse 8.63ms × (0.89,1.10) 8.58ms × (0.93,1.09) ~ (p=0.667)
BenchmarkGoParse-2 8.20ms × (0.97,1.04) 8.37ms × (0.97,1.04) +1.96% (p=0.001)
BenchmarkGoParse-4 8.00ms × (0.98,1.02) 8.14ms × (0.99,1.02) +1.75% (p=0.000)
BenchmarkRegexpMatchEasy0_32 162ns × (1.00,1.01) 164ns × (0.98,1.04) +1.35% (p=0.011)
BenchmarkRegexpMatchEasy0_32-2 161ns × (1.00,1.01) 161ns × (1.00,1.00) ~ (p=0.185)
BenchmarkRegexpMatchEasy0_32-4 161ns × (1.00,1.00) 161ns × (1.00,1.00) -0.19% (p=0.001)
BenchmarkRegexpMatchEasy0_1K 540ns × (0.99,1.02) 566ns × (0.98,1.04) +4.98% (p=0.000)
BenchmarkRegexpMatchEasy0_1K-2 540ns × (0.99,1.01) 557ns × (0.99,1.01) +3.21% (p=0.000)
BenchmarkRegexpMatchEasy0_1K-4 541ns × (0.99,1.01) 559ns × (0.99,1.01) +3.26% (p=0.000)
BenchmarkRegexpMatchEasy1_32 139ns × (0.98,1.04) 139ns × (0.99,1.03) ~ (p=0.979)
BenchmarkRegexpMatchEasy1_32-2 139ns × (0.99,1.04) 139ns × (0.99,1.02) ~ (p=0.777)
BenchmarkRegexpMatchEasy1_32-4 139ns × (0.98,1.04) 139ns × (0.99,1.04) ~ (p=0.771)
BenchmarkRegexpMatchEasy1_1K 890ns × (0.99,1.03) 885ns × (1.00,1.01) -0.50% (p=0.004)
BenchmarkRegexpMatchEasy1_1K-2 888ns × (0.99,1.01) 885ns × (0.99,1.01) -0.37% (p=0.004)
BenchmarkRegexpMatchEasy1_1K-4 890ns × (0.99,1.02) 884ns × (1.00,1.00) -0.70% (p=0.000)
BenchmarkRegexpMatchMedium_32 252ns × (0.99,1.01) 251ns × (0.99,1.01) ~ (p=0.081)
BenchmarkRegexpMatchMedium_32-2 254ns × (0.99,1.04) 252ns × (0.99,1.01) -0.78% (p=0.027)
BenchmarkRegexpMatchMedium_32-4 253ns × (0.99,1.04) 252ns × (0.99,1.01) -0.70% (p=0.022)
BenchmarkRegexpMatchMedium_1K 72.9µs × (0.99,1.01) 72.7µs × (1.00,1.00) ~ (p=0.064)
BenchmarkRegexpMatchMedium_1K-2 74.1µs × (0.98,1.05) 72.9µs × (1.00,1.01) -1.61% (p=0.001)
BenchmarkRegexpMatchMedium_1K-4 73.6µs × (0.99,1.05) 72.8µs × (1.00,1.00) -1.13% (p=0.007)
BenchmarkRegexpMatchHard_32 3.88µs × (0.99,1.03) 3.92µs × (0.98,1.05) ~ (p=0.143)
BenchmarkRegexpMatchHard_32-2 3.89µs × (0.99,1.03) 3.93µs × (0.98,1.09) ~ (p=0.278)
BenchmarkRegexpMatchHard_32-4 3.90µs × (0.99,1.05) 3.93µs × (0.98,1.05) ~ (p=0.252)
BenchmarkRegexpMatchHard_1K 118µs × (0.99,1.01) 117µs × (0.99,1.02) -0.54% (p=0.003)
BenchmarkRegexpMatchHard_1K-2 118µs × (0.99,1.01) 118µs × (0.99,1.03) ~ (p=0.581)
BenchmarkRegexpMatchHard_1K-4 118µs × (0.99,1.02) 117µs × (0.99,1.01) -0.54% (p=0.002)
BenchmarkRevcomp 991ms × (0.95,1.10) 989ms × (0.94,1.08) ~ (p=0.879)
BenchmarkRevcomp-2 978ms × (0.95,1.11) 962ms × (0.96,1.08) ~ (p=0.257)
BenchmarkRevcomp-4 979ms × (0.96,1.07) 974ms × (0.96,1.11) ~ (p=0.678)
BenchmarkTemplate 141ms × (0.99,1.02) 145ms × (0.99,1.02) +2.75% (p=0.000)
BenchmarkTemplate-2 135ms × (0.98,1.02) 138ms × (0.99,1.02) +2.34% (p=0.000)
BenchmarkTemplate-4 136ms × (0.98,1.02) 140ms × (0.99,1.02) +2.71% (p=0.000)
BenchmarkTimeParse 640ns × (0.99,1.01) 622ns × (0.99,1.01) -2.88% (p=0.000)
BenchmarkTimeParse-2 640ns × (0.99,1.01) 622ns × (1.00,1.00) -2.81% (p=0.000)
BenchmarkTimeParse-4 640ns × (1.00,1.01) 622ns × (0.99,1.01) -2.82% (p=0.000)
BenchmarkTimeFormat 730ns × (0.98,1.02) 731ns × (0.98,1.03) ~ (p=0.767)
BenchmarkTimeFormat-2 709ns × (0.99,1.02) 707ns × (0.99,1.02) ~ (p=0.347)
BenchmarkTimeFormat-4 717ns × (0.98,1.01) 718ns × (0.98,1.02) ~ (p=0.793)
Change-Id: Ie779c47e912bf80eb918bafa13638bd8dfd6c2d9
Reviewed-on: https://go-review.googlesource.com/9406
Reviewed-by: Rick Hudson <rlh@golang.org>
2015-04-27 20:45:57 -06:00
|
|
|
|
// Mark the object.
|
2016-03-14 10:17:48 -06:00
|
|
|
|
if obj, hbits, span, objIndex := heapBitsForObject(obj, b, i); obj != 0 {
|
|
|
|
|
greyobject(obj, b, i, hbits, span, gcw, objIndex)
|
cmd/internal/gc, runtime: use 1-bit bitmap for stack frames, data, bss
The bitmaps were 2 bits per pointer because we needed to distinguish
scalar, pointer, multiword, and we used the leftover value to distinguish
uninitialized from scalar, even though the garbage collector (GC) didn't care.
Now that there are no multiword structures from the GC's point of view,
cut the bitmaps down to 1 bit per pointer, recording just live pointer vs not.
The GC assumes the same layout for stack frames and for the maps
describing the global data and bss sections, so change them all in one CL.
The code still refers to 4-bit heap bitmaps and 2-bit "type bitmaps", since
the 2-bit representation lives (at least for now) in some of the reflect data.
Because these stack frame bitmaps are stored directly in the rodata in
the binary, this CL reduces the size of the 6g binary by about 1.1%.
Performance change is basically a wash, but using less memory,
and smaller binaries, and enables other bitmap reductions.
name old mean new mean delta
BenchmarkBinaryTree17 13.2s × (0.97,1.03) 13.0s × (0.99,1.01) -0.93% (p=0.005)
BenchmarkBinaryTree17-2 9.69s × (0.96,1.05) 9.51s × (0.96,1.03) -1.86% (p=0.001)
BenchmarkBinaryTree17-4 10.1s × (0.97,1.05) 10.0s × (0.96,1.05) ~ (p=0.141)
BenchmarkFannkuch11 4.35s × (0.99,1.01) 4.43s × (0.98,1.04) +1.75% (p=0.001)
BenchmarkFannkuch11-2 4.31s × (0.99,1.03) 4.32s × (1.00,1.00) ~ (p=0.095)
BenchmarkFannkuch11-4 4.32s × (0.99,1.02) 4.38s × (0.98,1.04) +1.38% (p=0.008)
BenchmarkFmtFprintfEmpty 83.5ns × (0.97,1.10) 87.3ns × (0.92,1.11) +4.55% (p=0.014)
BenchmarkFmtFprintfEmpty-2 81.8ns × (0.98,1.04) 82.5ns × (0.97,1.08) ~ (p=0.364)
BenchmarkFmtFprintfEmpty-4 80.9ns × (0.99,1.01) 82.6ns × (0.97,1.08) +2.12% (p=0.010)
BenchmarkFmtFprintfString 320ns × (0.95,1.04) 322ns × (0.97,1.05) ~ (p=0.368)
BenchmarkFmtFprintfString-2 303ns × (0.97,1.04) 304ns × (0.97,1.04) ~ (p=0.484)
BenchmarkFmtFprintfString-4 305ns × (0.97,1.05) 306ns × (0.98,1.05) ~ (p=0.543)
BenchmarkFmtFprintfInt 311ns × (0.98,1.03) 319ns × (0.97,1.03) +2.63% (p=0.000)
BenchmarkFmtFprintfInt-2 297ns × (0.98,1.04) 301ns × (0.97,1.04) +1.19% (p=0.023)
BenchmarkFmtFprintfInt-4 302ns × (0.98,1.02) 304ns × (0.97,1.03) ~ (p=0.126)
BenchmarkFmtFprintfIntInt 554ns × (0.96,1.05) 554ns × (0.97,1.03) ~ (p=0.975)
BenchmarkFmtFprintfIntInt-2 520ns × (0.98,1.03) 517ns × (0.98,1.02) ~ (p=0.153)
BenchmarkFmtFprintfIntInt-4 524ns × (0.98,1.02) 525ns × (0.98,1.03) ~ (p=0.597)
BenchmarkFmtFprintfPrefixedInt 433ns × (0.97,1.06) 434ns × (0.97,1.06) ~ (p=0.804)
BenchmarkFmtFprintfPrefixedInt-2 413ns × (0.98,1.04) 413ns × (0.98,1.03) ~ (p=0.881)
BenchmarkFmtFprintfPrefixedInt-4 420ns × (0.97,1.03) 421ns × (0.97,1.03) ~ (p=0.561)
BenchmarkFmtFprintfFloat 620ns × (0.99,1.03) 636ns × (0.97,1.03) +2.57% (p=0.000)
BenchmarkFmtFprintfFloat-2 601ns × (0.98,1.02) 617ns × (0.98,1.03) +2.58% (p=0.000)
BenchmarkFmtFprintfFloat-4 613ns × (0.98,1.03) 626ns × (0.98,1.02) +2.15% (p=0.000)
BenchmarkFmtManyArgs 2.19µs × (0.96,1.04) 2.23µs × (0.97,1.02) +1.65% (p=0.000)
BenchmarkFmtManyArgs-2 2.08µs × (0.98,1.03) 2.10µs × (0.99,1.02) +0.79% (p=0.019)
BenchmarkFmtManyArgs-4 2.10µs × (0.98,1.02) 2.13µs × (0.98,1.02) +1.72% (p=0.000)
BenchmarkGobDecode 21.3ms × (0.97,1.05) 21.1ms × (0.97,1.04) -1.36% (p=0.025)
BenchmarkGobDecode-2 20.0ms × (0.97,1.03) 19.2ms × (0.97,1.03) -4.00% (p=0.000)
BenchmarkGobDecode-4 19.5ms × (0.99,1.02) 19.0ms × (0.99,1.01) -2.39% (p=0.000)
BenchmarkGobEncode 18.3ms × (0.95,1.07) 18.1ms × (0.96,1.08) ~ (p=0.305)
BenchmarkGobEncode-2 16.8ms × (0.97,1.02) 16.4ms × (0.98,1.02) -2.79% (p=0.000)
BenchmarkGobEncode-4 15.4ms × (0.98,1.02) 15.4ms × (0.98,1.02) ~ (p=0.465)
BenchmarkGzip 650ms × (0.98,1.03) 655ms × (0.97,1.04) ~ (p=0.075)
BenchmarkGzip-2 652ms × (0.98,1.03) 655ms × (0.98,1.02) ~ (p=0.337)
BenchmarkGzip-4 656ms × (0.98,1.04) 653ms × (0.98,1.03) ~ (p=0.291)
BenchmarkGunzip 143ms × (1.00,1.01) 143ms × (1.00,1.01) ~ (p=0.507)
BenchmarkGunzip-2 143ms × (1.00,1.01) 143ms × (1.00,1.01) ~ (p=0.313)
BenchmarkGunzip-4 143ms × (1.00,1.01) 143ms × (1.00,1.01) ~ (p=0.312)
BenchmarkHTTPClientServer 110µs × (0.98,1.03) 109µs × (0.99,1.02) -1.40% (p=0.000)
BenchmarkHTTPClientServer-2 154µs × (0.90,1.08) 149µs × (0.90,1.08) -3.43% (p=0.007)
BenchmarkHTTPClientServer-4 138µs × (0.97,1.04) 138µs × (0.96,1.04) ~ (p=0.670)
BenchmarkJSONEncode 40.2ms × (0.98,1.02) 40.2ms × (0.98,1.05) ~ (p=0.828)
BenchmarkJSONEncode-2 35.1ms × (0.99,1.02) 35.2ms × (0.98,1.03) ~ (p=0.392)
BenchmarkJSONEncode-4 35.3ms × (0.98,1.03) 35.3ms × (0.98,1.02) ~ (p=0.813)
BenchmarkJSONDecode 119ms × (0.97,1.02) 117ms × (0.98,1.02) -1.80% (p=0.000)
BenchmarkJSONDecode-2 115ms × (0.99,1.02) 114ms × (0.98,1.02) -1.18% (p=0.000)
BenchmarkJSONDecode-4 116ms × (0.98,1.02) 114ms × (0.98,1.02) -1.43% (p=0.000)
BenchmarkMandelbrot200 6.03ms × (1.00,1.01) 6.03ms × (1.00,1.01) ~ (p=0.985)
BenchmarkMandelbrot200-2 6.03ms × (1.00,1.01) 6.02ms × (1.00,1.01) ~ (p=0.320)
BenchmarkMandelbrot200-4 6.03ms × (1.00,1.01) 6.03ms × (1.00,1.01) ~ (p=0.799)
BenchmarkGoParse 8.63ms × (0.89,1.10) 8.58ms × (0.93,1.09) ~ (p=0.667)
BenchmarkGoParse-2 8.20ms × (0.97,1.04) 8.37ms × (0.97,1.04) +1.96% (p=0.001)
BenchmarkGoParse-4 8.00ms × (0.98,1.02) 8.14ms × (0.99,1.02) +1.75% (p=0.000)
BenchmarkRegexpMatchEasy0_32 162ns × (1.00,1.01) 164ns × (0.98,1.04) +1.35% (p=0.011)
BenchmarkRegexpMatchEasy0_32-2 161ns × (1.00,1.01) 161ns × (1.00,1.00) ~ (p=0.185)
BenchmarkRegexpMatchEasy0_32-4 161ns × (1.00,1.00) 161ns × (1.00,1.00) -0.19% (p=0.001)
BenchmarkRegexpMatchEasy0_1K 540ns × (0.99,1.02) 566ns × (0.98,1.04) +4.98% (p=0.000)
BenchmarkRegexpMatchEasy0_1K-2 540ns × (0.99,1.01) 557ns × (0.99,1.01) +3.21% (p=0.000)
BenchmarkRegexpMatchEasy0_1K-4 541ns × (0.99,1.01) 559ns × (0.99,1.01) +3.26% (p=0.000)
BenchmarkRegexpMatchEasy1_32 139ns × (0.98,1.04) 139ns × (0.99,1.03) ~ (p=0.979)
BenchmarkRegexpMatchEasy1_32-2 139ns × (0.99,1.04) 139ns × (0.99,1.02) ~ (p=0.777)
BenchmarkRegexpMatchEasy1_32-4 139ns × (0.98,1.04) 139ns × (0.99,1.04) ~ (p=0.771)
BenchmarkRegexpMatchEasy1_1K 890ns × (0.99,1.03) 885ns × (1.00,1.01) -0.50% (p=0.004)
BenchmarkRegexpMatchEasy1_1K-2 888ns × (0.99,1.01) 885ns × (0.99,1.01) -0.37% (p=0.004)
BenchmarkRegexpMatchEasy1_1K-4 890ns × (0.99,1.02) 884ns × (1.00,1.00) -0.70% (p=0.000)
BenchmarkRegexpMatchMedium_32 252ns × (0.99,1.01) 251ns × (0.99,1.01) ~ (p=0.081)
BenchmarkRegexpMatchMedium_32-2 254ns × (0.99,1.04) 252ns × (0.99,1.01) -0.78% (p=0.027)
BenchmarkRegexpMatchMedium_32-4 253ns × (0.99,1.04) 252ns × (0.99,1.01) -0.70% (p=0.022)
BenchmarkRegexpMatchMedium_1K 72.9µs × (0.99,1.01) 72.7µs × (1.00,1.00) ~ (p=0.064)
BenchmarkRegexpMatchMedium_1K-2 74.1µs × (0.98,1.05) 72.9µs × (1.00,1.01) -1.61% (p=0.001)
BenchmarkRegexpMatchMedium_1K-4 73.6µs × (0.99,1.05) 72.8µs × (1.00,1.00) -1.13% (p=0.007)
BenchmarkRegexpMatchHard_32 3.88µs × (0.99,1.03) 3.92µs × (0.98,1.05) ~ (p=0.143)
BenchmarkRegexpMatchHard_32-2 3.89µs × (0.99,1.03) 3.93µs × (0.98,1.09) ~ (p=0.278)
BenchmarkRegexpMatchHard_32-4 3.90µs × (0.99,1.05) 3.93µs × (0.98,1.05) ~ (p=0.252)
BenchmarkRegexpMatchHard_1K 118µs × (0.99,1.01) 117µs × (0.99,1.02) -0.54% (p=0.003)
BenchmarkRegexpMatchHard_1K-2 118µs × (0.99,1.01) 118µs × (0.99,1.03) ~ (p=0.581)
BenchmarkRegexpMatchHard_1K-4 118µs × (0.99,1.02) 117µs × (0.99,1.01) -0.54% (p=0.002)
BenchmarkRevcomp 991ms × (0.95,1.10) 989ms × (0.94,1.08) ~ (p=0.879)
BenchmarkRevcomp-2 978ms × (0.95,1.11) 962ms × (0.96,1.08) ~ (p=0.257)
BenchmarkRevcomp-4 979ms × (0.96,1.07) 974ms × (0.96,1.11) ~ (p=0.678)
BenchmarkTemplate 141ms × (0.99,1.02) 145ms × (0.99,1.02) +2.75% (p=0.000)
BenchmarkTemplate-2 135ms × (0.98,1.02) 138ms × (0.99,1.02) +2.34% (p=0.000)
BenchmarkTemplate-4 136ms × (0.98,1.02) 140ms × (0.99,1.02) +2.71% (p=0.000)
BenchmarkTimeParse 640ns × (0.99,1.01) 622ns × (0.99,1.01) -2.88% (p=0.000)
BenchmarkTimeParse-2 640ns × (0.99,1.01) 622ns × (1.00,1.00) -2.81% (p=0.000)
BenchmarkTimeParse-4 640ns × (1.00,1.01) 622ns × (0.99,1.01) -2.82% (p=0.000)
BenchmarkTimeFormat 730ns × (0.98,1.02) 731ns × (0.98,1.03) ~ (p=0.767)
BenchmarkTimeFormat-2 709ns × (0.99,1.02) 707ns × (0.99,1.02) ~ (p=0.347)
BenchmarkTimeFormat-4 717ns × (0.98,1.01) 718ns × (0.98,1.02) ~ (p=0.793)
Change-Id: Ie779c47e912bf80eb918bafa13638bd8dfd6c2d9
Reviewed-on: https://go-review.googlesource.com/9406
Reviewed-by: Rick Hudson <rlh@golang.org>
2015-04-27 20:45:57 -06:00
|
|
|
|
}
|
2015-02-19 11:38:46 -07:00
|
|
|
|
}
|
|
|
|
|
}
|
2015-03-12 14:53:57 -06:00
|
|
|
|
gcw.bytesMarked += uint64(n)
|
2015-05-04 13:40:58 -06:00
|
|
|
|
gcw.scanWork += int64(i)
|
2015-02-19 11:38:46 -07:00
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
// Shade the object if it isn't already.
|
|
|
|
|
// The object is not nil and known to be in the heap.
|
runtime: replace per-M workbuf cache with per-P gcWork cache
Currently, each M has a cache of the most recently used *workbuf. This
is used primarily by the write barrier so it doesn't have to access
the global workbuf lists on every write barrier. It's also used by
stack scanning because it's convenient.
This cache is important for write barrier performance, but this
particular approach has several downsides. It's faster than no cache,
but far from optimal (as the benchmarks below show). It's complex:
access to the cache is sprinkled through most of the workbuf list
operations and it requires special care to transform into and back out
of the gcWork cache that's actually used for scanning and marking. It
requires atomic exchanges to take ownership of the cached workbuf and
to return it to the M's cache even though it's almost always used by
only the current M. Since it's per-M, flushing these caches is O(# of
Ms), which may be high. And it has some significant subtleties: for
example, in general the cache shouldn't be used after the
harvestwbufs() in mark termination because it could hide work from
mark termination, but stack scanning can happen after this and *will*
use the cache (but it turns out this is okay because it will always be
followed by a getfull(), which drains the cache).
This change replaces this cache with a per-P gcWork object. This
gcWork cache can be used directly by scanning and marking (as long as
preemption is disabled, which is a general requirement of gcWork).
Since it's per-P, it doesn't require synchronization, which simplifies
things and means the only atomic operations in the write barrier are
occasionally fetching new work buffers and setting a mark bit if the
object isn't already marked. This cache can be flushed in O(# of Ps),
which is generally small. It follows a simple flushing rule: the cache
can be used during any phase, but during mark termination it must be
flushed before allowing preemption. This also makes the dispose during
mutator assist no longer necessary, which eliminates the vast majority
of gcWork dispose calls and reduces contention on the global workbuf
lists. And it's a lot faster on some benchmarks:
benchmark old ns/op new ns/op delta
BenchmarkBinaryTree17 11963668673 11206112763 -6.33%
BenchmarkFannkuch11 2643217136 2649182499 +0.23%
BenchmarkFmtFprintfEmpty 70.4 70.2 -0.28%
BenchmarkFmtFprintfString 364 307 -15.66%
BenchmarkFmtFprintfInt 317 282 -11.04%
BenchmarkFmtFprintfIntInt 512 483 -5.66%
BenchmarkFmtFprintfPrefixedInt 404 380 -5.94%
BenchmarkFmtFprintfFloat 521 479 -8.06%
BenchmarkFmtManyArgs 2164 1894 -12.48%
BenchmarkGobDecode 30366146 22429593 -26.14%
BenchmarkGobEncode 29867472 26663152 -10.73%
BenchmarkGzip 391236616 396779490 +1.42%
BenchmarkGunzip 96639491 96297024 -0.35%
BenchmarkHTTPClientServer 100110 70763 -29.31%
BenchmarkJSONEncode 51866051 52511382 +1.24%
BenchmarkJSONDecode 103813138 86094963 -17.07%
BenchmarkMandelbrot200 4121834 4120886 -0.02%
BenchmarkGoParse 16472789 5879949 -64.31%
BenchmarkRegexpMatchEasy0_32 140 140 +0.00%
BenchmarkRegexpMatchEasy0_1K 394 394 +0.00%
BenchmarkRegexpMatchEasy1_32 120 120 +0.00%
BenchmarkRegexpMatchEasy1_1K 621 614 -1.13%
BenchmarkRegexpMatchMedium_32 209 202 -3.35%
BenchmarkRegexpMatchMedium_1K 54889 55175 +0.52%
BenchmarkRegexpMatchHard_32 2682 2675 -0.26%
BenchmarkRegexpMatchHard_1K 79383 79524 +0.18%
BenchmarkRevcomp 584116718 584595320 +0.08%
BenchmarkTemplate 125400565 109620196 -12.58%
BenchmarkTimeParse 386 387 +0.26%
BenchmarkTimeFormat 580 447 -22.93%
(Best out of 10 runs. The delta of averages is similar.)
This also puts us in a good position to flush these caches when
nearing the end of concurrent marking, which will let us increase the
size of the work buffers while still controlling mark termination
pause time.
Change-Id: I2dd94c8517a19297a98ec280203cccaa58792522
Reviewed-on: https://go-review.googlesource.com/9178
Run-TryBot: Austin Clements <austin@google.com>
TryBot-Result: Gobot Gobot <gobot@golang.org>
Reviewed-by: Russ Cox <rsc@golang.org>
2015-04-19 13:22:20 -06:00
|
|
|
|
// Preemption must be disabled.
|
2015-02-19 11:38:46 -07:00
|
|
|
|
//go:nowritebarrier
|
|
|
|
|
func shade(b uintptr) {
|
2016-03-14 10:17:48 -06:00
|
|
|
|
if obj, hbits, span, objIndex := heapBitsForObject(b, 0, 0); obj != 0 {
|
runtime: replace per-M workbuf cache with per-P gcWork cache
Currently, each M has a cache of the most recently used *workbuf. This
is used primarily by the write barrier so it doesn't have to access
the global workbuf lists on every write barrier. It's also used by
stack scanning because it's convenient.
This cache is important for write barrier performance, but this
particular approach has several downsides. It's faster than no cache,
but far from optimal (as the benchmarks below show). It's complex:
access to the cache is sprinkled through most of the workbuf list
operations and it requires special care to transform into and back out
of the gcWork cache that's actually used for scanning and marking. It
requires atomic exchanges to take ownership of the cached workbuf and
to return it to the M's cache even though it's almost always used by
only the current M. Since it's per-M, flushing these caches is O(# of
Ms), which may be high. And it has some significant subtleties: for
example, in general the cache shouldn't be used after the
harvestwbufs() in mark termination because it could hide work from
mark termination, but stack scanning can happen after this and *will*
use the cache (but it turns out this is okay because it will always be
followed by a getfull(), which drains the cache).
This change replaces this cache with a per-P gcWork object. This
gcWork cache can be used directly by scanning and marking (as long as
preemption is disabled, which is a general requirement of gcWork).
Since it's per-P, it doesn't require synchronization, which simplifies
things and means the only atomic operations in the write barrier are
occasionally fetching new work buffers and setting a mark bit if the
object isn't already marked. This cache can be flushed in O(# of Ps),
which is generally small. It follows a simple flushing rule: the cache
can be used during any phase, but during mark termination it must be
flushed before allowing preemption. This also makes the dispose during
mutator assist no longer necessary, which eliminates the vast majority
of gcWork dispose calls and reduces contention on the global workbuf
lists. And it's a lot faster on some benchmarks:
benchmark old ns/op new ns/op delta
BenchmarkBinaryTree17 11963668673 11206112763 -6.33%
BenchmarkFannkuch11 2643217136 2649182499 +0.23%
BenchmarkFmtFprintfEmpty 70.4 70.2 -0.28%
BenchmarkFmtFprintfString 364 307 -15.66%
BenchmarkFmtFprintfInt 317 282 -11.04%
BenchmarkFmtFprintfIntInt 512 483 -5.66%
BenchmarkFmtFprintfPrefixedInt 404 380 -5.94%
BenchmarkFmtFprintfFloat 521 479 -8.06%
BenchmarkFmtManyArgs 2164 1894 -12.48%
BenchmarkGobDecode 30366146 22429593 -26.14%
BenchmarkGobEncode 29867472 26663152 -10.73%
BenchmarkGzip 391236616 396779490 +1.42%
BenchmarkGunzip 96639491 96297024 -0.35%
BenchmarkHTTPClientServer 100110 70763 -29.31%
BenchmarkJSONEncode 51866051 52511382 +1.24%
BenchmarkJSONDecode 103813138 86094963 -17.07%
BenchmarkMandelbrot200 4121834 4120886 -0.02%
BenchmarkGoParse 16472789 5879949 -64.31%
BenchmarkRegexpMatchEasy0_32 140 140 +0.00%
BenchmarkRegexpMatchEasy0_1K 394 394 +0.00%
BenchmarkRegexpMatchEasy1_32 120 120 +0.00%
BenchmarkRegexpMatchEasy1_1K 621 614 -1.13%
BenchmarkRegexpMatchMedium_32 209 202 -3.35%
BenchmarkRegexpMatchMedium_1K 54889 55175 +0.52%
BenchmarkRegexpMatchHard_32 2682 2675 -0.26%
BenchmarkRegexpMatchHard_1K 79383 79524 +0.18%
BenchmarkRevcomp 584116718 584595320 +0.08%
BenchmarkTemplate 125400565 109620196 -12.58%
BenchmarkTimeParse 386 387 +0.26%
BenchmarkTimeFormat 580 447 -22.93%
(Best out of 10 runs. The delta of averages is similar.)
This also puts us in a good position to flush these caches when
nearing the end of concurrent marking, which will let us increase the
size of the work buffers while still controlling mark termination
pause time.
Change-Id: I2dd94c8517a19297a98ec280203cccaa58792522
Reviewed-on: https://go-review.googlesource.com/9178
Run-TryBot: Austin Clements <austin@google.com>
TryBot-Result: Gobot Gobot <gobot@golang.org>
Reviewed-by: Russ Cox <rsc@golang.org>
2015-04-19 13:22:20 -06:00
|
|
|
|
gcw := &getg().m.p.ptr().gcw
|
2016-03-14 10:17:48 -06:00
|
|
|
|
greyobject(obj, 0, 0, hbits, span, gcw, objIndex)
|
2015-06-01 16:16:03 -06:00
|
|
|
|
if gcphase == _GCmarktermination || gcBlackenPromptly {
|
runtime: replace per-M workbuf cache with per-P gcWork cache
Currently, each M has a cache of the most recently used *workbuf. This
is used primarily by the write barrier so it doesn't have to access
the global workbuf lists on every write barrier. It's also used by
stack scanning because it's convenient.
This cache is important for write barrier performance, but this
particular approach has several downsides. It's faster than no cache,
but far from optimal (as the benchmarks below show). It's complex:
access to the cache is sprinkled through most of the workbuf list
operations and it requires special care to transform into and back out
of the gcWork cache that's actually used for scanning and marking. It
requires atomic exchanges to take ownership of the cached workbuf and
to return it to the M's cache even though it's almost always used by
only the current M. Since it's per-M, flushing these caches is O(# of
Ms), which may be high. And it has some significant subtleties: for
example, in general the cache shouldn't be used after the
harvestwbufs() in mark termination because it could hide work from
mark termination, but stack scanning can happen after this and *will*
use the cache (but it turns out this is okay because it will always be
followed by a getfull(), which drains the cache).
This change replaces this cache with a per-P gcWork object. This
gcWork cache can be used directly by scanning and marking (as long as
preemption is disabled, which is a general requirement of gcWork).
Since it's per-P, it doesn't require synchronization, which simplifies
things and means the only atomic operations in the write barrier are
occasionally fetching new work buffers and setting a mark bit if the
object isn't already marked. This cache can be flushed in O(# of Ps),
which is generally small. It follows a simple flushing rule: the cache
can be used during any phase, but during mark termination it must be
flushed before allowing preemption. This also makes the dispose during
mutator assist no longer necessary, which eliminates the vast majority
of gcWork dispose calls and reduces contention on the global workbuf
lists. And it's a lot faster on some benchmarks:
benchmark old ns/op new ns/op delta
BenchmarkBinaryTree17 11963668673 11206112763 -6.33%
BenchmarkFannkuch11 2643217136 2649182499 +0.23%
BenchmarkFmtFprintfEmpty 70.4 70.2 -0.28%
BenchmarkFmtFprintfString 364 307 -15.66%
BenchmarkFmtFprintfInt 317 282 -11.04%
BenchmarkFmtFprintfIntInt 512 483 -5.66%
BenchmarkFmtFprintfPrefixedInt 404 380 -5.94%
BenchmarkFmtFprintfFloat 521 479 -8.06%
BenchmarkFmtManyArgs 2164 1894 -12.48%
BenchmarkGobDecode 30366146 22429593 -26.14%
BenchmarkGobEncode 29867472 26663152 -10.73%
BenchmarkGzip 391236616 396779490 +1.42%
BenchmarkGunzip 96639491 96297024 -0.35%
BenchmarkHTTPClientServer 100110 70763 -29.31%
BenchmarkJSONEncode 51866051 52511382 +1.24%
BenchmarkJSONDecode 103813138 86094963 -17.07%
BenchmarkMandelbrot200 4121834 4120886 -0.02%
BenchmarkGoParse 16472789 5879949 -64.31%
BenchmarkRegexpMatchEasy0_32 140 140 +0.00%
BenchmarkRegexpMatchEasy0_1K 394 394 +0.00%
BenchmarkRegexpMatchEasy1_32 120 120 +0.00%
BenchmarkRegexpMatchEasy1_1K 621 614 -1.13%
BenchmarkRegexpMatchMedium_32 209 202 -3.35%
BenchmarkRegexpMatchMedium_1K 54889 55175 +0.52%
BenchmarkRegexpMatchHard_32 2682 2675 -0.26%
BenchmarkRegexpMatchHard_1K 79383 79524 +0.18%
BenchmarkRevcomp 584116718 584595320 +0.08%
BenchmarkTemplate 125400565 109620196 -12.58%
BenchmarkTimeParse 386 387 +0.26%
BenchmarkTimeFormat 580 447 -22.93%
(Best out of 10 runs. The delta of averages is similar.)
This also puts us in a good position to flush these caches when
nearing the end of concurrent marking, which will let us increase the
size of the work buffers while still controlling mark termination
pause time.
Change-Id: I2dd94c8517a19297a98ec280203cccaa58792522
Reviewed-on: https://go-review.googlesource.com/9178
Run-TryBot: Austin Clements <austin@google.com>
TryBot-Result: Gobot Gobot <gobot@golang.org>
Reviewed-by: Russ Cox <rsc@golang.org>
2015-04-19 13:22:20 -06:00
|
|
|
|
// Ps aren't allowed to cache work during mark
|
|
|
|
|
// termination.
|
2015-02-19 11:38:46 -07:00
|
|
|
|
gcw.dispose()
|
|
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
// obj is the start of an object with mark mbits.
|
2015-04-27 13:42:45 -06:00
|
|
|
|
// If it isn't already marked, mark it and enqueue into gcw.
|
2015-02-19 11:38:46 -07:00
|
|
|
|
// base and off are for debugging only and could be removed.
|
2015-11-24 12:03:58 -07:00
|
|
|
|
//go:nowritebarrierrec
|
2016-03-14 10:17:48 -06:00
|
|
|
|
func greyobject(obj, base, off uintptr, hbits heapBits, span *mspan, gcw *gcWork, objIndex uintptr) {
|
2015-02-19 11:38:46 -07:00
|
|
|
|
// obj should be start of allocation, and so must be at least pointer-aligned.
|
2015-11-11 10:39:30 -07:00
|
|
|
|
if obj&(sys.PtrSize-1) != 0 {
|
2015-02-19 11:38:46 -07:00
|
|
|
|
throw("greyobject: obj not pointer-aligned")
|
|
|
|
|
}
|
2016-03-14 10:17:48 -06:00
|
|
|
|
mbits := span.markBitsForIndex(objIndex)
|
|
|
|
|
|
2015-02-19 14:43:27 -07:00
|
|
|
|
if useCheckmark {
|
2016-02-11 11:57:58 -07:00
|
|
|
|
if !mbits.isMarked() {
|
2015-03-12 12:26:04 -06:00
|
|
|
|
printlock()
|
2015-02-19 11:38:46 -07:00
|
|
|
|
print("runtime:greyobject: checkmarks finds unexpected unmarked object obj=", hex(obj), "\n")
|
|
|
|
|
print("runtime: found obj at *(", hex(base), "+", hex(off), ")\n")
|
|
|
|
|
|
|
|
|
|
// Dump the source (base) object
|
2015-03-12 12:26:04 -06:00
|
|
|
|
gcDumpObject("base", base, off)
|
2015-02-19 11:38:46 -07:00
|
|
|
|
|
|
|
|
|
// Dump the object
|
2015-03-12 12:26:04 -06:00
|
|
|
|
gcDumpObject("obj", obj, ^uintptr(0))
|
2015-02-19 11:38:46 -07:00
|
|
|
|
|
2017-03-07 13:20:40 -07:00
|
|
|
|
getg().m.traceback = 2
|
2015-02-19 11:38:46 -07:00
|
|
|
|
throw("checkmark found unmarked object")
|
|
|
|
|
}
|
2015-05-04 08:19:24 -06:00
|
|
|
|
if hbits.isCheckmarked(span.elemsize) {
|
2015-02-19 11:38:46 -07:00
|
|
|
|
return
|
|
|
|
|
}
|
2015-05-04 08:19:24 -06:00
|
|
|
|
hbits.setCheckmarked(span.elemsize)
|
|
|
|
|
if !hbits.isCheckmarked(span.elemsize) {
|
2015-02-19 11:38:46 -07:00
|
|
|
|
throw("setCheckmarked and isCheckmarked disagree")
|
|
|
|
|
}
|
|
|
|
|
} else {
|
2016-10-03 14:18:17 -06:00
|
|
|
|
if debug.gccheckmark > 0 && span.isFree(objIndex) {
|
|
|
|
|
print("runtime: marking free object ", hex(obj), " found at *(", hex(base), "+", hex(off), ")\n")
|
|
|
|
|
gcDumpObject("base", base, off)
|
|
|
|
|
gcDumpObject("obj", obj, ^uintptr(0))
|
2017-03-07 13:20:40 -07:00
|
|
|
|
getg().m.traceback = 2
|
2016-10-03 14:18:17 -06:00
|
|
|
|
throw("marking free object")
|
|
|
|
|
}
|
|
|
|
|
|
2015-02-19 11:38:46 -07:00
|
|
|
|
// If marked we have nothing to do.
|
2016-02-11 11:57:58 -07:00
|
|
|
|
if mbits.isMarked() {
|
2015-02-19 11:38:46 -07:00
|
|
|
|
return
|
|
|
|
|
}
|
2016-03-14 10:17:48 -06:00
|
|
|
|
// mbits.setMarked() // Avoid extra call overhead with manual inlining.
|
|
|
|
|
atomic.Or8(mbits.bytep, mbits.mask)
|
2015-02-27 10:41:20 -07:00
|
|
|
|
// If this is a noscan object, fast-track it to black
|
|
|
|
|
// instead of greying it.
|
2015-05-04 08:19:24 -06:00
|
|
|
|
if !hbits.hasPointers(span.elemsize) {
|
2015-03-12 14:53:57 -06:00
|
|
|
|
gcw.bytesMarked += uint64(span.elemsize)
|
2015-02-27 10:41:20 -07:00
|
|
|
|
return
|
|
|
|
|
}
|
2015-02-19 11:38:46 -07:00
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
// Queue the obj for scanning. The PREFETCH(obj) logic has been removed but
|
|
|
|
|
// seems like a nice optimization that can be added back in.
|
|
|
|
|
// There needs to be time between the PREFETCH and the use.
|
|
|
|
|
// Previously we put the obj in an 8 element buffer that is drained at a rate
|
|
|
|
|
// to give the PREFETCH time to do its work.
|
|
|
|
|
// Use of PREFETCHNTA might be more appropriate than PREFETCH
|
2016-03-14 10:17:48 -06:00
|
|
|
|
if !gcw.putFast(obj) {
|
|
|
|
|
gcw.put(obj)
|
|
|
|
|
}
|
2015-02-19 11:38:46 -07:00
|
|
|
|
}
|
|
|
|
|
|
2015-03-12 12:26:04 -06:00
|
|
|
|
// gcDumpObject dumps the contents of obj for debugging and marks the
|
|
|
|
|
// field at byte offset off in obj.
|
|
|
|
|
func gcDumpObject(label string, obj, off uintptr) {
|
2015-04-29 13:15:43 -06:00
|
|
|
|
if obj < mheap_.arena_start || obj >= mheap_.arena_used {
|
2015-09-18 09:55:31 -06:00
|
|
|
|
print(label, "=", hex(obj), " is not in the Go heap\n")
|
2015-04-29 13:15:43 -06:00
|
|
|
|
return
|
|
|
|
|
}
|
2015-03-12 12:26:04 -06:00
|
|
|
|
k := obj >> _PageShift
|
|
|
|
|
x := k
|
|
|
|
|
x -= mheap_.arena_start >> _PageShift
|
2016-10-04 14:03:00 -06:00
|
|
|
|
s := mheap_.spans[x]
|
2015-03-12 12:26:04 -06:00
|
|
|
|
print(label, "=", hex(obj), " k=", hex(k))
|
|
|
|
|
if s == nil {
|
|
|
|
|
print(" s=nil\n")
|
|
|
|
|
return
|
|
|
|
|
}
|
2016-09-09 08:22:10 -06:00
|
|
|
|
print(" s.base()=", hex(s.base()), " s.limit=", hex(s.limit), " s.sizeclass=", s.sizeclass, " s.elemsize=", s.elemsize, " s.state=")
|
|
|
|
|
if 0 <= s.state && int(s.state) < len(mSpanStateNames) {
|
|
|
|
|
print(mSpanStateNames[s.state], "\n")
|
|
|
|
|
} else {
|
|
|
|
|
print("unknown(", s.state, ")\n")
|
|
|
|
|
}
|
|
|
|
|
|
2015-09-18 10:06:24 -06:00
|
|
|
|
skipped := false
|
2016-09-09 08:22:10 -06:00
|
|
|
|
size := s.elemsize
|
|
|
|
|
if s.state == _MSpanStack && size == 0 {
|
|
|
|
|
// We're printing something from a stack frame. We
|
|
|
|
|
// don't know how big it is, so just show up to an
|
|
|
|
|
// including off.
|
|
|
|
|
size = off + sys.PtrSize
|
|
|
|
|
}
|
|
|
|
|
for i := uintptr(0); i < size; i += sys.PtrSize {
|
2015-09-18 10:06:24 -06:00
|
|
|
|
// For big objects, just print the beginning (because
|
|
|
|
|
// that usually hints at the object's type) and the
|
|
|
|
|
// fields around off.
|
2015-11-11 10:39:30 -07:00
|
|
|
|
if !(i < 128*sys.PtrSize || off-16*sys.PtrSize < i && i < off+16*sys.PtrSize) {
|
2015-09-18 10:06:24 -06:00
|
|
|
|
skipped = true
|
|
|
|
|
continue
|
|
|
|
|
}
|
|
|
|
|
if skipped {
|
|
|
|
|
print(" ...\n")
|
|
|
|
|
skipped = false
|
|
|
|
|
}
|
2016-02-29 16:01:00 -07:00
|
|
|
|
print(" *(", label, "+", i, ") = ", hex(*(*uintptr)(unsafe.Pointer(obj + i))))
|
2015-03-12 12:26:04 -06:00
|
|
|
|
if i == off {
|
|
|
|
|
print(" <==")
|
|
|
|
|
}
|
|
|
|
|
print("\n")
|
|
|
|
|
}
|
2015-09-18 10:06:24 -06:00
|
|
|
|
if skipped {
|
|
|
|
|
print(" ...\n")
|
|
|
|
|
}
|
2015-03-12 12:26:04 -06:00
|
|
|
|
}
|
|
|
|
|
|
2016-04-17 09:42:37 -06:00
|
|
|
|
// gcmarknewobject marks a newly allocated object black. obj must
|
|
|
|
|
// not contain any non-nil pointers.
|
|
|
|
|
//
|
|
|
|
|
// This is nosplit so it can manipulate a gcWork without preemption.
|
|
|
|
|
//
|
2015-02-19 11:38:46 -07:00
|
|
|
|
//go:nowritebarrier
|
2016-04-17 09:42:37 -06:00
|
|
|
|
//go:nosplit
|
|
|
|
|
func gcmarknewobject(obj, size, scanSize uintptr) {
|
2015-06-01 16:16:03 -06:00
|
|
|
|
if useCheckmark && !gcBlackenPromptly { // The world should be stopped so this should not happen.
|
2015-02-19 11:38:46 -07:00
|
|
|
|
throw("gcmarknewobject called while doing checkmark")
|
|
|
|
|
}
|
2016-02-11 11:57:58 -07:00
|
|
|
|
markBitsForAddr(obj).setMarked()
|
2016-04-16 16:27:38 -06:00
|
|
|
|
gcw := &getg().m.p.ptr().gcw
|
2016-04-17 09:42:37 -06:00
|
|
|
|
gcw.bytesMarked += uint64(size)
|
2016-04-16 16:27:38 -06:00
|
|
|
|
gcw.scanWork += int64(scanSize)
|
2016-09-11 14:55:34 -06:00
|
|
|
|
if gcBlackenPromptly {
|
|
|
|
|
// There shouldn't be anything in the work queue, but
|
|
|
|
|
// we still need to flush stats.
|
|
|
|
|
gcw.dispose()
|
|
|
|
|
}
|
2015-02-19 11:38:46 -07:00
|
|
|
|
}
|
|
|
|
|
|
2016-09-09 07:34:26 -06:00
|
|
|
|
// gcMarkTinyAllocs greys all active tiny alloc blocks.
|
|
|
|
|
//
|
|
|
|
|
// The world must be stopped.
|
|
|
|
|
func gcMarkTinyAllocs() {
|
|
|
|
|
for _, p := range &allp {
|
|
|
|
|
if p == nil || p.status == _Pdead {
|
|
|
|
|
break
|
|
|
|
|
}
|
|
|
|
|
c := p.mcache
|
|
|
|
|
if c == nil || c.tiny == 0 {
|
|
|
|
|
continue
|
|
|
|
|
}
|
|
|
|
|
_, hbits, span, objIndex := heapBitsForObject(c.tiny, 0, 0)
|
|
|
|
|
gcw := &p.gcw
|
|
|
|
|
greyobject(c.tiny, 0, 0, hbits, span, gcw, objIndex)
|
|
|
|
|
if gcBlackenPromptly {
|
|
|
|
|
gcw.dispose()
|
|
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
|
2015-02-19 11:38:46 -07:00
|
|
|
|
// Checkmarking
|
|
|
|
|
|
|
|
|
|
// To help debug the concurrent GC we remark with the world
|
|
|
|
|
// stopped ensuring that any object encountered has their normal
|
|
|
|
|
// mark bit set. To do this we use an orthogonal bit
|
|
|
|
|
// pattern to indicate the object is marked. The following pattern
|
2015-06-11 07:49:38 -06:00
|
|
|
|
// uses the upper two bits in the object's boundary nibble.
|
2015-02-19 11:38:46 -07:00
|
|
|
|
// 01: scalar not marked
|
|
|
|
|
// 10: pointer not marked
|
|
|
|
|
// 11: pointer marked
|
|
|
|
|
// 00: scalar marked
|
|
|
|
|
// Xoring with 01 will flip the pattern from marked to unmarked and vica versa.
|
|
|
|
|
// The higher bit is 1 for pointers and 0 for scalars, whether the object
|
|
|
|
|
// is marked or not.
|
|
|
|
|
// The first nibble no longer holds the typeDead pattern indicating that the
|
|
|
|
|
// there are no more pointers in the object. This information is held
|
|
|
|
|
// in the second nibble.
|
|
|
|
|
|
2015-02-19 14:43:27 -07:00
|
|
|
|
// If useCheckmark is true, marking of an object uses the
|
|
|
|
|
// checkmark bits (encoding above) instead of the standard
|
|
|
|
|
// mark bits.
|
|
|
|
|
var useCheckmark = false
|
2015-02-19 11:38:46 -07:00
|
|
|
|
|
|
|
|
|
//go:nowritebarrier
|
|
|
|
|
func initCheckmarks() {
|
2015-02-19 14:43:27 -07:00
|
|
|
|
useCheckmark = true
|
2016-10-05 19:22:33 -06:00
|
|
|
|
for _, s := range mheap_.allspans {
|
2015-02-19 11:38:46 -07:00
|
|
|
|
if s.state == _MSpanInUse {
|
|
|
|
|
heapBitsForSpan(s.base()).initCheckmarkSpan(s.layout())
|
|
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
func clearCheckmarks() {
|
2015-02-19 14:43:27 -07:00
|
|
|
|
useCheckmark = false
|
2016-10-05 19:22:33 -06:00
|
|
|
|
for _, s := range mheap_.allspans {
|
2015-02-19 11:38:46 -07:00
|
|
|
|
if s.state == _MSpanInUse {
|
|
|
|
|
heapBitsForSpan(s.base()).clearCheckmarkSpan(s.layout())
|
|
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
}
|