da0913f814
In the previous, we will only use the slicing by 8 look up table when
the data size is greater than 16k, but the threshold seems to be too
large. We may lose some performance for the small data size.
In this CL, we change the threshold to 2k, it shows that the performance
is improved greatly when the data size is 2k ~ 16k.
We did some tests for the Random2K ~ Random16K between various
cores(mostly on x86 and arm architecture). Here are the benchmark and
some results:
1. The benchmark for testing:
func BenchmarkRandom(b *testing.B) {
poly := 0x58993511
b.Run("Random256", func(b *testing.B) {
bench(b, uint64(poly), 256)
})
b.Run("Random512", func(b *testing.B) {
bench(b, uint64(poly), 512)
})
b.Run("Random1KB", func(b *testing.B) {
bench(b, uint64(poly), 1<<10)
})
b.Run("Random2KB", func(b *testing.B) {
bench(b, uint64(poly), 2<<10)
})
b.Run("Random4KB", func(b *testing.B) {
bench(b, uint64(poly), 4<<10)
})
b.Run("Random8KB", func(b *testing.B) {
bench(b, uint64(poly), 8<<10)
})
b.Run("Random16KB", func(b *testing.B) {
bench(b, uint64(poly), 16<<10)
})
}
2. Some results:
Apple silicon M1:
Benchmark old new delta
Random/Random2KB-10 362MB/s 801MB/s +121.41%
Random/Random4KB-10 360MB/s 1083MB/s +200.93%
Random/Random8KB-10 359MB/s 1309MB/s +264.88%
Random/Random16KB-10 358MB/s 1466MB/s +309.79%
Neoverse N1:
Benchmark old new delta
Random/Random2KB-160 397MB/s 493MB/s +24.23%
Random/Random4KB-160 397MB/s 742MB/s +86.86%
Random/Random8KB-160 398MB/s 995MB/s +150.12%
Random/Random16KB-160 398MB/s 1196MB/s +200.58%
Silver 4116:
Benchmark old new delta
Random/Random2KB-48 252MB/s 418MB/s +65.79%
Random/Random4KB-48 253MB/s 621MB/s +145.72%
Random/Random8KB-48 254MB/s 796MB/s +213.07%
Random/Random16KB-48 258MB/s 929MB/s +260.46%
EPYC 7251:
Benchmark old new delta
Random/Random2KB-32 255MB/s 380MB/s +48.88%
Random/Random4KB-32 255MB/s 561MB/s +119.73%
Random/Random8KB-32 255MB/s 738MB/s +189.18%
Random/Random16KB-32 255MB/s 877MB/s +243.80%
Change-Id: Ib7b4f6826c3edd6f315cac8057d52b6da252a652
Reviewed-on: https://go-review.googlesource.com/c/go/+/445475
Run-TryBot: Eric Fang <eric.fang@arm.com>
Reviewed-by: Keith Randall <khr@google.com>
TryBot-Result: Gopher Robot <gobot@golang.org>
Reviewed-by: Heschi Kreinick <heschi@google.com>
Reviewed-by: Keith Randall <khr@golang.org>
Auto-Submit: Keith Randall <khr@golang.org>
|
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| api | ||
| doc | ||
| lib/time | ||
| misc | ||
| src | ||
| test | ||
| .gitattributes | ||
| .gitignore | ||
| codereview.cfg | ||
| CONTRIBUTING.md | ||
| LICENSE | ||
| PATENTS | ||
| README.md | ||
| SECURITY.md | ||
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