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Dec 2, 2017
src
Dec 2, 2017

Vector benchmarks

Note: As show by Cameron Hart these results are not correct

This project contains research exploring SIMD instructions in Rust, specifically SSE, to speed up the computation of vector dot products for use in 3D graphics. From the benchmarks demonstrated here we can conclude that Rust's inability to inline functions that use SIMD makes the option drastically slower than the naive implementation. Notably even when inlining the SIMD version it is not faster than the naive option.

Result on Macbook Pro 13"(mid 2012) with Intel Core i5 2.5Ghz

running 4 tests
test bench_f32            ... bench:         315 ns/iter (+/- 36)
test bench_f32_sse        ... bench: 218,383,192 ns/iter (+/- 6,526,505)
test bench_f32_sse_inline ... bench:         312 ns/iter (+/- 58)
test bench_f64            ... bench:         315 ns/iter (+/- 90)
  • bench_f32 uses Vector<f32>.
  • bench_f32_sse uses f32 SIMD instructions without inlining.
  • bench_f32_sse_inlin uses f32 SIMD instructions that have been manually inlined.
  • bench_f64 uses Vector<f64>.

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Vector benchmakrs with SIMD instructions

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