Avoid scalar indexing with GPU arrays #40
Merged
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
For GPU arrays, transpositions and other operations are now performed completely on the GPU (as far as I can tell...), avoiding slow scalar indexing.
Well, for now this has just been tested with the reference implementation of GPUArrays.jl (
JLArray
), which is implemented on CPUs.It would be nice to test things with
CuArray
s. For that, one just needs to addCuArray
to the list of array types tested intest/array_types.jl
. @corentin-dev let me know if you can try that out.For now I have no idea how the transposition of GPU arrays actually performs, and it would be nice to have some benchmarks. There are still some things that can be improved. In particular, when using dimension permutations (enabled by default in PencilFFTs), there are some additional allocations that should be taken care of.
This PR closes #21 (but can be reopened if stuff is missing).