Crates.io | ocl-stream |
lib.rs | ocl-stream |
version | 0.3.5 |
source | src |
created_at | 2021-01-12 08:51:02.55366 |
updated_at | 2021-01-13 13:37:09.435662 |
description | OpenCL Stream execution framework |
homepage | |
repository | https://github.com/parallel-programming-hwr/ocl-stream-rs |
max_upload_size | |
id | 340782 |
size | 29,981 |
This crate provides abstractions over opencl execution to allow the streaming of results. This crate does not provide abstractions over the ocl crate directly but allows to use the provided stream executor to optimise the execution process.
use crate::executor::OCLStreamExecutor;
use ocl::ProQue;
fn main() {
// create the ProQue
let pro_que = ProQue::builder()
.src("
__kernel void bench_int(const uint limit, __global int *NUMBERS) {
uint id = get_global_id(0);
int num = NUMBERS[id];
for (int i = 0; i < limit; i++) {
num += i;
}
NUMBERS[id] = num;
}",
)
.dims(1)
.build()
.unwrap();
// create the executor
let stream_executor = OCLStreamExecutor::new(pro_que);
// execute a closure that provides the results in the given stream
let mut stream = stream_executor.execute_unbound(|ctx| {
let pro_que = ctx.pro_que();
let tx = ctx.sender();
let input_buffer = pro_que.buffer_builder().len(100).fill_val(0u32).build()?;
let kernel = pro_que
.kernel_builder("bench_int")
.arg(100)
.arg(&input_buffer)
.global_work_size(100)
.build()?;
unsafe {
kernel.enq()?;
}
let mut result = vec![0u32; 100];
input_buffer.read(&mut result).enq()?;
for num in result {
// send the results to the receiving thread
tx.send(num)?;
}
Ok(())
});
let mut count = 0;
// calculate the expected result values
let num = (99f32.powf(2.0) + 99f32) / 2f32;
// read the results from the stream
while let Ok(n) = stream.next() {
assert_eq!(n, num as u32);
count += 1;
}
assert_eq!(count, 100)
}