Crates.io | hac |
lib.rs | hac |
version | 0.1.1 |
source | src |
created_at | 2023-01-04 18:42:11.936454 |
updated_at | 2023-01-05 17:44:57.742205 |
description | Hardware Accelerated Computing API for portable high performace computing with the GPU. |
homepage | |
repository | https://github.com/alvaro-sch/hac |
max_upload_size | |
id | 751032 |
size | 141,754 |
Hardware Accelerated Computing API via the GPU, built on top of wgpu for achieving great portability.
This crate works pretty fine for various simple use-cases (see examples), but it exposes lots of wgpu functionality that hasn't been tested and may possibly not even work, use those features at your own risk.
CommandQueue
from_image
: allows the creation of Image
s using the
image crate
(currently supports rgba8 only).use rand::Rng;
// wgpu's default `max_workgroups_per_dimension`
// can be changed using `hac::Limits` on Context creation
const N: usize = 1 << 16 - 1;
const KERNEL_SOURCE: &'static str = r#"
struct ComputeInput {
// wgsl builtin variables can be found in the following link
// https://www.w3.org/TR/WGSL/#builtin-values
@builtin(global_invocation_id) id: vec3<u32>,
}
@group(0) @binding(0)
var<storage, read> a: array<f32>;
@group(0) @binding(1)
var<storage, read> b: array<f32>;
@group(0) @binding(2)
var<storage, read_write> c: array<f32>;
@compute @workgroup_size(1)
fn main(input: ComputeInput) {
let i = input.id.x;
c[i] = a[i] + b[i];
}"#;
fn main() {
let context = hac::Context::new(&hac::ContextInfo::default());
let mut rng = rand::thread_rng();
let mut a = vec![0.0f32; N];
rng.fill(&mut a[..]);
let mut b = vec![0.0f32; N];
rng.fill(&mut b[..]);
let buf_a = context.buffer_from_slice(&a); // input
let buf_b = context.buffer_from_slice(&b); // input
let buf_c = context.buffer::<f32>(N as u64); // output
let bind_group = context
.bind_group_descriptor()
.push_buffer(&buf_a, hac::BufferAccess::ReadOnly) // @binding(0)
.push_buffer(&buf_b, hac::BufferAccess::ReadOnly) // @binding(1)
.push_buffer(&buf_c, hac::BufferAccess::ReadWrite) // @binding(2)
.into_bind_group();
let program = context.program_from_wgsl(KERNEL_SOURCE);
let kernel = context.kernel(&hac::KernelInfo {
program: &program,
entry_point: "main",
bind_groups: &[&bind_group], // each index corresponds to the group
// each binding of `bind_group` is in @group(0)
push_constants_range: None, // requires the `PUSH_CONSTANTS` feature
});
kernel.dispatch(hac::Range::d1(N as u32));
let c = buf_c.read_to_vec(); // read result
// check if the sums were performed correctly and print some results
(0..N).for_each(|i| assert!((a[i] + b[i] - c[i]).abs() <= f32::EPSILON));
(0..8).for_each(|i| println!("{:<11} + {:<11} = {}", a[i], b[i], c[i]));
}