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| 1 | +// SPDX-License-Identifier: Apache-2.0 |
| 2 | +// SPDX-FileCopyrightText: Copyright the Vortex contributors |
| 3 | + |
| 4 | +//! Raw buffer-level benchmarks for the primitive take (gather) kernel. |
| 5 | +//! |
| 6 | +//! Compares scalar, AVX2, and Mojo SIMD gather. All three are called through |
| 7 | +//! the same `fn(&[T], &[u32]) -> Buffer<T>` Rust signature on raw slices. |
| 8 | +//! |
| 9 | +//! Run with: `cargo bench -p vortex-array --bench take_primitive_simd` |
| 10 | +
|
| 11 | +#![allow(clippy::cast_possible_truncation)] |
| 12 | +#![allow(clippy::unwrap_used)] |
| 13 | + |
| 14 | +use divan::Bencher; |
| 15 | +use rand::distr::Uniform; |
| 16 | +use rand::prelude::*; |
| 17 | +use vortex_array::arrays::primitive::{bench_take_avx2, bench_take_mojo, bench_take_scalar}; |
| 18 | + |
| 19 | +fn main() { |
| 20 | + divan::main(); |
| 21 | +} |
| 22 | + |
| 23 | +const NUM_INDICES: &[usize] = &[1_000, 10_000, 100_000]; |
| 24 | +const NUM_VALUES: usize = 65_536; |
| 25 | + |
| 26 | +fn make_u32_indices(num_indices: usize) -> Vec<u32> { |
| 27 | + let rng = StdRng::seed_from_u64(42); |
| 28 | + let range = Uniform::new(0u32, NUM_VALUES as u32).unwrap(); |
| 29 | + rng.sample_iter(range).take(num_indices).collect() |
| 30 | +} |
| 31 | + |
| 32 | +// --------------------------------------------------------------------------- |
| 33 | +// u32 values |
| 34 | +// --------------------------------------------------------------------------- |
| 35 | + |
| 36 | +#[divan::bench(args = NUM_INDICES, sample_count = 10_000)] |
| 37 | +fn gather_u32_scalar(bencher: Bencher, n: usize) { |
| 38 | + let values: Vec<u32> = (0..NUM_VALUES as u32).collect(); |
| 39 | + let indices = make_u32_indices(n); |
| 40 | + bencher.bench(|| divan::black_box(bench_take_scalar(&values, &indices))); |
| 41 | +} |
| 42 | + |
| 43 | +#[divan::bench(args = NUM_INDICES, sample_count = 10_000)] |
| 44 | +fn gather_u32_avx2(bencher: Bencher, n: usize) { |
| 45 | + let values: Vec<u32> = (0..NUM_VALUES as u32).collect(); |
| 46 | + let indices = make_u32_indices(n); |
| 47 | + bencher.bench(|| divan::black_box(bench_take_avx2(&values, &indices))); |
| 48 | +} |
| 49 | + |
| 50 | +#[divan::bench(args = NUM_INDICES, sample_count = 10_000)] |
| 51 | +fn gather_u32_mojo(bencher: Bencher, n: usize) { |
| 52 | + let values: Vec<u32> = (0..NUM_VALUES as u32).collect(); |
| 53 | + let indices = make_u32_indices(n); |
| 54 | + bencher.bench(|| divan::black_box(bench_take_mojo(&values, &indices))); |
| 55 | +} |
| 56 | + |
| 57 | +// --------------------------------------------------------------------------- |
| 58 | +// u64 values |
| 59 | +// --------------------------------------------------------------------------- |
| 60 | + |
| 61 | +#[divan::bench(args = NUM_INDICES, sample_count = 10_000)] |
| 62 | +fn gather_u64_scalar(bencher: Bencher, n: usize) { |
| 63 | + let values: Vec<u64> = (0..NUM_VALUES as u64).map(|i| i * 100).collect(); |
| 64 | + let indices = make_u32_indices(n); |
| 65 | + bencher.bench(|| divan::black_box(bench_take_scalar(&values, &indices))); |
| 66 | +} |
| 67 | + |
| 68 | +#[divan::bench(args = NUM_INDICES, sample_count = 10_000)] |
| 69 | +fn gather_u64_avx2(bencher: Bencher, n: usize) { |
| 70 | + let values: Vec<u64> = (0..NUM_VALUES as u64).map(|i| i * 100).collect(); |
| 71 | + let indices = make_u32_indices(n); |
| 72 | + bencher.bench(|| divan::black_box(bench_take_avx2(&values, &indices))); |
| 73 | +} |
| 74 | + |
| 75 | +#[divan::bench(args = NUM_INDICES, sample_count = 10_000)] |
| 76 | +fn gather_u64_mojo(bencher: Bencher, n: usize) { |
| 77 | + let values: Vec<u64> = (0..NUM_VALUES as u64).map(|i| i * 100).collect(); |
| 78 | + let indices = make_u32_indices(n); |
| 79 | + bencher.bench(|| divan::black_box(bench_take_mojo(&values, &indices))); |
| 80 | +} |
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