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use criterion::{black_box, criterion_group, criterion_main, BenchmarkId, Criterion};
unsafe fn random_vector(x: *mut u8, len: usize) {
for i in 0..len {
*x.add(i) = rand::random();
}
}
fn bench_dist(c: &mut Criterion) {
const KB: usize = 1024;
let sizes = [
KB,
KB * 2,
KB * 4,
KB * 8,
KB * 16,
KB * 32,
KB * 64,
KB * 128,
KB * 256,
KB * 512,
KB * 1024,
];
let mut group = c.benchmark_group("distance");
for s in sizes.iter() {
unsafe {
let x = hamming_rs::utils::aligned_malloc(256, *s);
random_vector(x, *s);
let y = hamming_rs::utils::aligned_malloc(256, *s);
random_vector(y, *s);
let xx = std::slice::from_raw_parts(x, *s);
let yy = std::slice::from_raw_parts(x, *s);
group.bench_with_input(BenchmarkId::new("hamming_rs", s), &(xx, yy), |b, data| {
b.iter(|| black_box(hamming_rs::distance(data.0, data.1)))
});
group.bench_with_input(BenchmarkId::new("hamming", s), &(xx, yy), |b, data| {
b.iter(|| black_box(hamming::distance_fast(data.0, data.1)))
});
group.bench_with_input(BenchmarkId::new("strsim", s), &(xx, yy), |b, data| {
b.iter(|| black_box(strsim::generic_hamming(data.0, data.1)))
});
}
}
group.finish();
}
fn bench_weight(c: &mut Criterion) {
const KB: usize = 1024;
let sizes = [
KB,
KB * 2,
KB * 4,
KB * 8,
KB * 16,
KB * 32,
KB * 64,
KB * 128,
KB * 256,
KB * 512,
KB * 1024,
];
let mut group = c.benchmark_group("weight");
for s in sizes.iter() {
unsafe {
let x = hamming_rs::utils::aligned_malloc(256, *s);
random_vector(x, *s);
let xx = std::slice::from_raw_parts(x, *s);
group.bench_with_input(BenchmarkId::new("local", s), &xx, |b, data| {
b.iter(|| black_box(hamming_rs::weight(&data)))
});
group.bench_with_input(BenchmarkId::new("reference", s), &xx, |b, data| {
b.iter(|| black_box(hamming::weight(&data)))
});
}
}
group.finish();
}
criterion_group!(
name = benches;
config = Criterion::default();
targets = bench_dist, bench_weight);
criterion_main!(benches);
|
