Comments (3)
nvm, it is faster...there was an error in my benchmark code.
from rayon.
You might also want to try it with parallelism only on the outer loop, and leave it sequential inside. There's no inherent problem with nesting parallelism in rayon, but you're unlikely to benefit when the workload is already well balanced, and it will add some overhead to split the inner loop for nothing.
from rayon.
@cuviper yeah, you're right. After removing the inner parallelism, it is actually 2x faster tho...
fn matmul(w: &Vec<Vec<f32>>, x: &Vec<f32>) -> Vec<f32> {
w.into_par_iter()
.map(
|n| {
n.iter().enumerate().map(|(id, j)| {
j * x[id] }
).sum()
// (n, x).into_par_iter().map(|(x, y)| x * y).sum()
}
).collect()
}
fn matmul_2(w: &Vec<Vec<f32>>, x: &Vec<f32>) -> Vec<f32> {
w.into_par_iter()
.map(
|n| {
(n, x).into_par_iter().map(|(x, y)| x * y).sum()
}
).collect()
}
fn matmul_3(w: &Vec<Vec<f32>>, x: &Vec<f32>) -> Vec<f32> {
w.into_par_iter()
.map(
|n| {
n.into_par_iter().enumerate().map(|(id, j)| {
j * x[id] }
).sum()
}
).collect()
}
fn matmul_default(w: Vec<Vec<f32>>, x: Vec<f32>) -> Vec<f32> {
w.iter()
.map(
|n| {
n.iter().zip(x.iter()).map(|(x, y)|
x * y
).sum()
}).collect()
}
Benchmark (1000, 1000) @ (1000, 1) ->
Time elapsed in matmul is: 3.781083ms
Time elapsed in matmul2 is: 10.111667ms
Time elapsed in matmul3 is: 7.760333ms
Time elapsed in matmul_default is: 15.889958ms
from rayon.
Related Issues (20)
- Add SIMD SORT as an option HOT 1
- Handle/guard support for current thread pool HOT 1
- Optional parallelization
- Way to have assertion whether something is outside of a rayon task HOT 2
- how drop rayon whren it in a dylib and dylib should be droped? HOT 4
- Error reporting in scoped tasks
- cooperative yield in ThreadPool::install() causes unexpected behavior in nested pools HOT 4
- rayon-core tests fail to build. HOT 6
- general purpose WASM support? HOT 1
- `fold` creates identity for each sublist HOT 10
- Support for some sort of collect()/extend() into `LinkedList<Vec<T>>` HOT 1
- A yield_now/yield_local alternative that allows the thread to go to sleep HOT 3
- Rayon slower than single threaded performance when mixing iter and par_iter HOT 9
- Potential to modify ordering for split_count and tour_counter HOT 2
- rayon 1.9.0 doctest failure - stack overflow on aarch64-unknown-linux-gnu HOT 2
- par_bridge_recursion test sometimes hanging indefinitely HOT 3
- rayon works very slow after MacOS Sonoma 14.4 has beed updated HOT 6
- `&mut [T]` should implement `rayon::slice::ParallelSliceMut` HOT 4
- Suggestion for stack size when calling par_sort_unstable HOT 5
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from rayon.