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cmd/compile: reuse []Flow
Benchmarked using compilebench on a quiet but rather old OS X laptop. Benchmarks from others would be welcome, since the numbers look too good to be true. name old time/op new time/op delta Template 331ms ± 9% 303ms ± 4% -8.25% (p=0.000 n=24+24) GoTypes 946ms ± 4% 888ms ± 3% -6.17% (p=0.000 n=24+25) Compiler 3.20s ± 1% 3.10s ± 2% -3.07% (p=0.000 n=24+25) name old alloc/op new alloc/op delta Template 72.5MB ± 0% 61.8MB ± 0% -14.76% (p=0.000 n=25+24) GoTypes 224MB ± 0% 189MB ± 0% -15.65% (p=0.000 n=25+25) Compiler 695MB ± 0% 561MB ± 0% -19.26% (p=0.000 n=25+25) name old allocs/op new allocs/op delta Template 498k ± 0% 497k ± 0% -0.21% (p=0.000 n=25+23) GoTypes 1.47M ± 0% 1.47M ± 0% -0.25% (p=0.000 n=25+25) Compiler 4.09M ± 0% 4.08M ± 0% -0.18% (p=0.000 n=25+23) Change-Id: I2394bc748128d721863453257fa5756c410f7898 Reviewed-on: https://go-review.googlesource.com/19771 Reviewed-by: Russ Cox <rsc@golang.org> Run-TryBot: Russ Cox <rsc@golang.org> TryBot-Result: Gobot Gobot <gobot@golang.org>
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@ -241,6 +241,19 @@ var flowmark int
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// will not have flow graphs and consequently will not be optimized.
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const MaxFlowProg = 50000
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var ffcache []Flow // reusable []Flow, to reduce allocation
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func growffcache(n int) {
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if n > cap(ffcache) {
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n = (n * 5) / 4
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if n > MaxFlowProg {
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n = MaxFlowProg
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}
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ffcache = make([]Flow, n)
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}
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ffcache = ffcache[:n]
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}
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func Flowstart(firstp *obj.Prog, newData func() interface{}) *Graph {
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// Count and mark instructions to annotate.
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nf := 0
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@ -268,7 +281,9 @@ func Flowstart(firstp *obj.Prog, newData func() interface{}) *Graph {
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// Allocate annotations and assign to instructions.
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graph := new(Graph)
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ff := make([]Flow, nf)
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growffcache(nf)
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ff := ffcache
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start := &ff[0]
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id := 0
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var last *Flow
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@ -331,6 +346,10 @@ func Flowend(graph *Graph) {
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f.Prog.Info.Flags = 0 // drop cached proginfo
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f.Prog.Opt = nil
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}
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clear := ffcache[:graph.Num]
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for i := range clear {
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clear[i] = Flow{}
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}
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}
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// find looping structure
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