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As we want to have this library portable, the first step would be to make 100% of this library run correctly on only CPU (i.e. not requiring CUDA for any part of the functionality). This would serve two purposes:
Provide a baseline that contributors of ports can reference
Provide a fallback for partially implemented hardware platforms
Proposed solution
Implement all the CUDA kernels in "normal" C++
Make sure the unit tests all run on the CPU as well
Make sure unit test coverage is satisfactory
Open questions
Which CPU architectures do we support (x86_64 and arm64 are givens, but any more)?
How do we deal with SIMD intrinsics? Build separate libraries for each SIMD architecture? Or run-time selection based on CPU features?
@Titus-von-Koeller Feel free to edit this issue as you see fit, if you want a different structure for it for example.tbd
tbd
The text was updated successfully, but these errors were encountered:
Motivation
As we want to have this library portable, the first step would be to make 100% of this library run correctly on only CPU (i.e. not requiring CUDA for any part of the functionality). This would serve two purposes:
Proposed solution
Open questions
@Titus-von-Koeller Feel free to edit this issue as you see fit, if you want a different structure for it for example.tbd
tbd
The text was updated successfully, but these errors were encountered: