8903b3db0e
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> |
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