simd-slice

This crate provides a wrapper type struct SimdSlice(&[T]) with simd-enabled operations.

Relying on auto-vectorization by compiler might fail for various reasons. Use this crate to explicitly enable the vectorization without boilerplate.

Example

```rs let a: Vec = { let mut a = vec![0_i32; N]; for i in 0..N { a[i] = (i % 12345) as i32; } a };

use simd_slice::AsSimdSlice;

// unaligned, odd-length cases are supported let sum: i32 = a.assimdslice().sum(); let min: Option = a.assimdslice().min(); let max: Option = a.assimdslice().max(); ```

Benchmark

reduce-sum on a Vec<i32> with 1000000 items

naive: 251.136µs (R²=1.000, 4039 iterations in 62 samples) rayon: 108.663µs (R²=0.997, 9542 iterations in 71 samples) simd : 52.341µs (R²=0.998, 20470 iterations in 79 samples) both1: 148.563µs (R²=0.999, 7165 iterations in 68 samples) both2: 61.943µs (R²=0.992, 16915 iterations in 77 samples) both3: 82.678µs (R²=0.997, 12705 iterations in 74 samples)

• simd = simd-slice
• both1 = rayon chunks(4) + std::simd
• both2 = rayon chunks(4096) + std::simd
• both3 = rayon chunks(slice.len()/num_cores) + std::simd