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Samuel Berthe
ac8295b68a
* style(simd): rename sse to avx * fix(exp,simd): apply the right avx512 constraints to a few methods * fix(exp,simd): apply the right avx512 constraints to a few methods
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1.7 KiB
title, description, sidebar_position, hide_table_of_contents
| title | description | sidebar_position | hide_table_of_contents |
|---|---|---|---|
| SIMD operations | High-performance slice operations using AVX, AVX2 and AVX512 SIMD when built with Go 1.26+ and GOEXPERIMENT=simd on amd64. | 0 | true |
:::warning Help improve this documentation This documentation is still new and evolving. If you spot any mistakes, unclear explanations, or missing details, please open an issue.
Your feedback helps us improve! :::
SIMD helpers
This page lists all operations on slices, available in the exp/simd sub-package. These helpers use AVX (128-bit), AVX2 (256-bit) or AVX512 (512-bit) SIMD when built with Go 1.26+, the GOEXPERIMENT=simd flag, and on amd64.
:::warning Unstable API SIMD helpers are experimental. The API may break in the future. :::
Performance
Benchmarks show that running SIMD operators on small datasets is slower:
BenchmarkSumInt8/small/Fallback-lo-4 203616572 5.875 ns/op
BenchmarkSumInt8/small/AVX-x16-4 100000000 12.04 ns/op
BenchmarkSumInt8/small/AVX2-x32-4 64041816 17.93 ns/op
BenchmarkSumInt8/small/AVX512-x64-4 26947528 44.75 ns/op
But much much faster on big datasets:
BenchmarkSumInt8/xlarge/Fallback-lo-4 247677 4860 ns/op
BenchmarkSumInt8/xlarge/AVX-x16-4 3851040 311.4 ns/op
BenchmarkSumInt8/xlarge/AVX2-x32-4 7100002 169.2 ns/op
BenchmarkSumInt8/xlarge/AVX512-x64-4 10107534 118.1 ns/op
import HelperList from '@site/plugins/helpers-pages/components/HelperList';