3 releases
0.0.3 | Oct 17, 2023 |
---|---|
0.0.2 | Apr 23, 2023 |
0.0.1 | Apr 11, 2023 |
#166 in Math
58 downloads per month
645KB
10K
SLoC
krnl
Safe, portable, high performance compute (GPGPU) kernels.
Developed for autograph.
- Similar functionality to CUDA and OpenCL.
- Supports GPU's and other Vulkan 1.2 capable devices.
- MacOS / iOS supported via MoltenVK.
- Kernels are written inline, entirely in Rust.
- Simple iterator patterns can be implemented without unsafe.
- Buffers on the host can be accessed natively as Vecs and slices.
krnlc
Kernel compiler for krnl.
- Built on RustGPU's spirv-builder.
- Supports dependencies defined in Cargo.toml.
- Uses spirv-tools to validate and optimize.
- Compiles to "krnl-cache.rs", so the crate will build on stable Rust.
Example
use krnl::{
anyhow::Result,
buffer::{Buffer, Slice, SliceMut},
device::Device,
macros::module,
};
#[module]
mod kernels {
#[cfg(not(target_arch = "spirv"))]
use krnl::krnl_core;
use krnl_core::macros::kernel;
pub fn saxpy_impl(x: f32, alpha: f32, y: &mut f32) {
*y += alpha * x;
}
// Item kernels for iterator patterns.
#[kernel]
pub fn saxpy(#[item] x: f32, alpha: f32, #[item] y: &mut f32) {
saxpy_impl(x, alpha, y);
}
// General purpose kernels like CUDA / OpenCL.
#[kernel]
pub fn saxpy_global(#[global] x: Slice<f32>, alpha: f32, #[global] y: UnsafeSlice<f32>) {
use krnl_core::buffer::UnsafeIndex;
let mut index = kernel.global_id() as usize;
while index < x.len().min(y.len()) {
saxpy_impl(x[index], alpha, unsafe { y.unsafe_index_mut(index) });
index += kernel.global_threads() as usize;
}
}
}
fn saxpy(x: Slice<f32>, alpha: f32, mut y: SliceMut<f32>) -> Result<()> {
if let Some((x, y)) = x.as_host_slice().zip(y.as_host_slice_mut()) {
for (x, y) in x.iter().copied().zip(y) {
kernels::saxpy_impl(x, alpha, y);
}
return Ok(());
}
kernels::saxpy::builder()?
.with_threads(256)
.build(y.device())?
.dispatch(x, alpha, y)
}
fn main() -> Result<()> {
let x = vec![1f32];
let alpha = 2f32;
let y = vec![0f32];
let device = Device::builder().build().ok().unwrap_or(Device::host());
let x = Buffer::from(x).into_device(device.clone())?;
let mut y = Buffer::from(y).into_device(device.clone())?;
saxpy(x.as_slice(), alpha, y.as_slice_mut())?;
let y = y.into_vec()?;
println!("{y:?}");
Ok(())
}
Performance
NVIDIA GeForce GTX 1060 with Max-Q Design
alloc
krnl |
cuda |
ocl |
|
---|---|---|---|
1,000,000 |
319.07 ns (✅ 1.00x) |
112.83 us (❌ 353.62x slower) |
486.10 ns (❌ 1.52x slower) |
10,000,000 |
318.22 ns (✅ 1.00x) |
1.11 ms (❌ 3494.06x slower) |
493.02 ns (❌ 1.55x slower) |
64,000,000 |
318.40 ns (✅ 1.00x) |
6.31 ms (❌ 19803.98x slower) |
493.07 ns (❌ 1.55x slower) |
upload
krnl |
cuda |
ocl |
|
---|---|---|---|
1,000,000 |
339.76 us (✅ 1.00x) |
363.93 us (✅ 1.07x slower) |
789.44 us (❌ 2.32x slower) |
10,000,000 |
4.90 ms (✅ 1.00x) |
3.81 ms (✅ 1.29x faster) |
8.84 ms (❌ 1.80x slower) |
64,000,000 |
25.92 ms (✅ 1.00x) |
24.58 ms (✅ 1.05x faster) |
56.74 ms (❌ 2.19x slower) |
download
krnl |
cuda |
ocl |
|
---|---|---|---|
1,000,000 |
593.88 us (✅ 1.00x) |
461.01 us (✅ 1.29x faster) |
20.12 ms (❌ 33.88x slower) |
10,000,000 |
5.66 ms (✅ 1.00x) |
4.07 ms (✅ 1.39x faster) |
20.13 ms (❌ 3.55x slower) |
64,000,000 |
29.50 ms (✅ 1.00x) |
25.71 ms (✅ 1.15x faster) |
37.48 ms (❌ 1.27x slower) |
zero
krnl |
cuda |
ocl |
|
---|---|---|---|
1,000,000 |
38.49 us (✅ 1.00x) |
25.31 us (✅ 1.52x faster) |
35.16 us (✅ 1.09x faster) |
10,000,000 |
254.52 us (✅ 1.00x) |
243.01 us (✅ 1.05x faster) |
252.41 us (✅ 1.01x faster) |
64,000,000 |
1.54 ms (✅ 1.00x) |
1.55 ms (✅ 1.01x slower) |
1.56 ms (✅ 1.02x slower) |
saxpy
krnl |
cuda |
ocl |
|
---|---|---|---|
1,000,000 |
88.59 us (✅ 1.00x) |
81.25 us (✅ 1.09x faster) |
89.24 us (✅ 1.01x slower) |
10,000,000 |
742.25 us (✅ 1.00x) |
770.35 us (✅ 1.04x slower) |
780.49 us (✅ 1.05x slower) |
64,000,000 |
4.68 ms (✅ 1.00x) |
4.91 ms (✅ 1.05x slower) |
4.92 ms (✅ 1.05x slower) |
Recent Changes
See Releases.md
License
Dual-licensed to be compatible with the Rust project.
Licensed under the Apache License, Version 2.0 http://www.apache.org/licenses/LICENSE-2.0 or the MIT license http://opensource.org/licenses/MIT, at your option. This file may not be copied, modified, or distributed except according to those terms.
Contribution
Unless you explicitly state otherwise, any contribution intentionally submitted for inclusion in the work by you, as defined in the Apache-2.0 license, shall be dual licensed as above, without any additional terms or conditions
Dependencies
~5–15MB
~218K SLoC