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Add benchmarks for SIMD fft
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@andrewmilson
andrewmilson committed May 16, 2024
1 parent 3c6716f commit df625de
Showing 1 changed file with 204 additions and 55 deletions.
259 changes: 204 additions & 55 deletions crates/prover/benches/fft.rs
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Original file line number Diff line number Diff line change
@@ -1,12 +1,136 @@
#![feature(iter_array_chunks)]

use criterion::{BenchmarkId, Criterion, Throughput};
use stwo_prover::core::backend::avx512::fft::ifft::get_itwiddle_dbls;
use stwo_prover::core::backend::avx512::fft::transpose_vecs;
use stwo_prover::core::backend::avx512::{BaseFieldVec, PackedBaseField};
use std::hint::black_box;
use std::mem::{size_of_val, transmute};

use criterion::{BatchSize, BenchmarkId, Criterion, Throughput};
use itertools::Itertools;
use stwo_prover::core::fields::m31::BaseField;
use stwo_prover::core::poly::circle::CanonicCoset;

pub fn simd_ifft(c: &mut Criterion) {
use stwo_prover::core::backend::simd::column::BaseFieldVec;
use stwo_prover::core::backend::simd::fft::ifft::{get_itwiddle_dbls, ifft};

let mut group = c.benchmark_group("iffts");

for log_size in 16..=28 {
let domain = CanonicCoset::new(log_size).circle_domain();
let twiddle_dbls = get_itwiddle_dbls(domain.half_coset);
let twiddle_dbls_refs = twiddle_dbls.iter().map(|x| x.as_slice()).collect_vec();
let values: BaseFieldVec = (0..domain.size()).map(BaseField::from).collect();
group.throughput(Throughput::Bytes(size_of_val(&*values.data) as u64));
group.bench_function(BenchmarkId::new("simd ifft", log_size), |b| {
b.iter_batched(
|| values.clone().data,
|mut data| unsafe {
ifft(
transmute(data.as_mut_ptr()),
black_box(&twiddle_dbls_refs),
black_box(log_size as usize),
);
},
BatchSize::LargeInput,
)
});
}
}

pub fn simd_ifft_parts(c: &mut Criterion) {
use stwo_prover::core::backend::simd::column::BaseFieldVec;
use stwo_prover::core::backend::simd::fft::ifft::{
get_itwiddle_dbls, ifft3_loop, ifft_vecwise_loop,
};
use stwo_prover::core::backend::simd::fft::transpose_vecs;

const LOG_SIZE: u32 = 14;

let domain = CanonicCoset::new(LOG_SIZE).circle_domain();
let twiddle_dbls = get_itwiddle_dbls(domain.half_coset);
let twiddle_dbls_refs = twiddle_dbls.iter().map(|x| x.as_slice()).collect_vec();
let values: BaseFieldVec = (0..domain.size()).map(BaseField::from).collect();

let mut group = c.benchmark_group("ifft parts");

// Note: These benchmarks run only on 2^LOG_SIZE elements because of their parameters.
// Increasing the figure above won't change the runtime of these benchmarks.
group.throughput(Throughput::Bytes(4 << LOG_SIZE));
group.bench_function(format!("simd ifft_vecwise_loop 2^{LOG_SIZE}"), |b| {
b.iter_batched(
|| values.clone().data,
|mut values| unsafe {
ifft_vecwise_loop(
transmute(values.as_mut_ptr()),
black_box(&twiddle_dbls_refs),
black_box(9),
black_box(0),
)
},
BatchSize::LargeInput,
);
});
group.bench_function(format!("simd ifft3_loop 2^{LOG_SIZE}"), |b| {
b.iter_batched(
|| values.clone().data,
|mut values| unsafe {
ifft3_loop(
transmute(values.as_mut_ptr()),
black_box(&twiddle_dbls_refs[3..]),
black_box(7),
black_box(4),
black_box(0),
)
},
BatchSize::LargeInput,
);
});

const TRANSPOSE_LOG_SIZE: u32 = 20;
let transpose_values: BaseFieldVec =
(0..1 << TRANSPOSE_LOG_SIZE).map(BaseField::from).collect();
group.throughput(Throughput::Bytes(4 << TRANSPOSE_LOG_SIZE));
group.bench_function(format!("simd transpose_vecs 2^{TRANSPOSE_LOG_SIZE}"), |b| {
b.iter_batched(
|| transpose_values.clone().data,
|mut values| unsafe {
transpose_vecs(
transmute(values.as_mut_ptr()),
black_box(TRANSPOSE_LOG_SIZE as usize - 4),
)
},
BatchSize::LargeInput,
);
});
}

pub fn simd_rfft(c: &mut Criterion) {
use stwo_prover::core::backend::simd::column::BaseFieldVec;
use stwo_prover::core::backend::simd::fft::rfft::{fft, get_twiddle_dbls};
use stwo_prover::core::backend::simd::m31::PackedBaseField;

const LOG_SIZE: u32 = 20;

let domain = CanonicCoset::new(LOG_SIZE).circle_domain();
let twiddle_dbls = get_twiddle_dbls(domain.half_coset);
let twiddle_dbls_refs = twiddle_dbls.iter().map(|x| x.as_slice()).collect_vec();
let values: BaseFieldVec = (0..domain.size()).map(BaseField::from).collect();

c.bench_function("simd rfft 20bit", |b| {
b.iter_with_large_drop(|| unsafe {
let mut target = Vec::<PackedBaseField>::with_capacity(values.data.len());
#[allow(clippy::uninit_vec)]
target.set_len(values.data.len());

fft(
black_box(transmute(values.data.as_ptr())),
transmute(target.as_mut_ptr()),
black_box(&twiddle_dbls_refs),
black_box(LOG_SIZE as usize),
)
});
});
}

#[cfg(target_arch = "x86_64")]
pub fn avx512_ifft(c: &mut criterion::Criterion) {
use stwo_prover::core::backend::avx512::fft::ifft;
Expand All @@ -17,85 +141,99 @@ pub fn avx512_ifft(c: &mut criterion::Criterion) {

let mut group = c.benchmark_group("iffts");
for log_size in 16..=28 {
let (mut values, twiddle_dbls) = prepare_values(log_size);
let (values, twiddle_dbls) = prepare_values(log_size);

group.throughput(Throughput::Bytes(
(std::mem::size_of::<BaseField>() as u64) << log_size,
));
group.bench_function(BenchmarkId::new("avx ifft", log_size), |b| {
b.iter(|| unsafe {
ifft::ifft(
std::mem::transmute(values.data.as_mut_ptr()),
&twiddle_dbls
.iter()
.map(|x| x.as_slice())
.collect::<Vec<_>>(),
log_size as usize,
);
});
b.iter_batched(
|| values.clone().data,
|mut values| unsafe {
ifft::ifft(
std::mem::transmute(values.as_mut_ptr()),
&twiddle_dbls
.iter()
.map(|x| x.as_slice())
.collect::<Vec<_>>(),
log_size as usize,
)
},
BatchSize::LargeInput,
);
});
}
}

#[cfg(target_arch = "x86_64")]
pub fn avx512_ifft_parts(c: &mut criterion::Criterion) {
use stwo_prover::core::backend::avx512::fft::ifft;
use stwo_prover::core::backend::avx512::fft::{ifft, transpose_vecs};
use stwo_prover::platform;
if !platform::avx512_detected() {
return;
}

let (mut values, twiddle_dbls) = prepare_values(14);
let (values, twiddle_dbls) = prepare_values(14);
let mut group = c.benchmark_group("ifft parts");

// Note: These benchmarks run only on 2^14 elements ebcause of their parameters.
// Increasing the figure above won't change the runtime of these benchmarks.
group.throughput(Throughput::Bytes(4 << 14));
group.bench_function("avx ifft_vecwise_loop 2^14", |b| {
b.iter(|| unsafe {
ifft::ifft_vecwise_loop(
std::mem::transmute(values.data.as_mut_ptr()),
&twiddle_dbls
.iter()
.map(|x| x.as_slice())
.collect::<Vec<_>>(),
9,
0,
);
});
b.iter_batched(
|| values.clone().data,
|mut values| unsafe {
ifft::ifft_vecwise_loop(
std::mem::transmute(values.as_mut_ptr()),
&twiddle_dbls
.iter()
.map(|x| x.as_slice())
.collect::<Vec<_>>(),
9,
0,
)
},
BatchSize::LargeInput,
);
});

group.bench_function("avx ifft3_loop 2^14", |b| {
b.iter(|| unsafe {
ifft::ifft3_loop(
std::mem::transmute(values.data.as_mut_ptr()),
&twiddle_dbls
.iter()
.skip(3)
.map(|x| x.as_slice())
.collect::<Vec<_>>(),
7,
4,
0,
);
});
b.iter_batched(
|| values.clone().data,
|mut values| unsafe {
ifft::ifft3_loop(
std::mem::transmute(values.as_mut_ptr()),
&twiddle_dbls
.iter()
.skip(3)
.map(|x| x.as_slice())
.collect::<Vec<_>>(),
7,
4,
0,
)
},
BatchSize::LargeInput,
);
});

let (mut values, _twiddle_dbls) = prepare_values(20);
let (values, _twiddle_dbls) = prepare_values(20);
group.throughput(Throughput::Bytes(4 << 20));
group.bench_function("avx transpose_vecs 2^20", |b| {
b.iter(|| unsafe {
transpose_vecs(
std::mem::transmute(values.data.as_mut_ptr()),
(20 - 4) as usize,
);
});
b.iter_batched(
|| values.clone().data,
|mut values| unsafe {
transpose_vecs(std::mem::transmute(values.as_mut_ptr()), (20 - 4) as usize);
},
BatchSize::LargeInput,
);
});
}

#[cfg(target_arch = "x86_64")]
pub fn avx512_rfft(c: &mut criterion::Criterion) {
use stwo_prover::core::backend::avx512::fft::rfft;
use stwo_prover::core::backend::avx512::PackedBaseField;
use stwo_prover::platform;
if !platform::avx512_detected() {
return;
Expand All @@ -105,13 +243,13 @@ pub fn avx512_rfft(c: &mut criterion::Criterion) {
let (values, twiddle_dbls) = prepare_values(LOG_SIZE);

c.bench_function("avx rfft 20bit", |b| {
b.iter(|| unsafe {
b.iter_with_large_drop(|| unsafe {
let mut target = Vec::<PackedBaseField>::with_capacity(values.data.len());
#[allow(clippy::uninit_vec)]
target.set_len(values.data.len());

rfft::fft(
std::mem::transmute(values.data.as_ptr()),
black_box(std::mem::transmute(values.data.as_ptr())),
std::mem::transmute(target.as_mut_ptr()),
&twiddle_dbls
.iter()
Expand All @@ -124,19 +262,30 @@ pub fn avx512_rfft(c: &mut criterion::Criterion) {
}

#[cfg(target_arch = "x86_64")]
fn prepare_values(log_size: u32) -> (BaseFieldVec, Vec<Vec<i32>>) {
fn prepare_values(
log_size: u32,
) -> (
stwo_prover::core::backend::avx512::BaseFieldVec,
Vec<Vec<i32>>,
) {
use stwo_prover::core::backend::avx512::fft::ifft::get_itwiddle_dbls;
let domain = CanonicCoset::new(log_size).circle_domain();
let values = (0..domain.size())
.map(|i| BaseField::from_u32_unchecked(i as u32))
.collect::<Vec<_>>();
let values = BaseFieldVec::from_iter(values);
let values = stwo_prover::core::backend::avx512::BaseFieldVec::from_iter(values);
let twiddle_dbls = get_itwiddle_dbls(domain.half_coset);
(values, twiddle_dbls)
}

#[cfg(target_arch = "x86_64")]
criterion::criterion_group!(
name=avx_ifft;
name = benches;
config = Criterion::default().sample_size(10);
targets = avx512_ifft, avx512_ifft_parts, avx512_rfft, simd_ifft, simd_ifft_parts, simd_rfft);
#[cfg(not(target_arch = "x86_64"))]
criterion::criterion_group!(
name = benches;
config = Criterion::default().sample_size(10);
targets=avx512_ifft, avx512_ifft_parts, avx512_rfft);
criterion::criterion_main!(avx_ifft);
targets = simd_ifft, simd_ifft_parts, simd_rfft);
criterion::criterion_main!(benches);

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