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However in many cases the full accelerator type is not needed - or used.
For example, math functions care about the back-end (CPU, CUDA, SYCL, etc.) but not about the dimensionality of the kernel (1d, 2d, 3d).
Can we find a way to simplify this kind of functions, possibly without breaking the existing code ?
The text was updated successfully, but these errors were encountered:
alpaka suggests that device functions should be templated on the accelerator type, e.g.
However in many cases the full accelerator type is not needed - or used.
For example, math functions care about the back-end (CPU, CUDA, SYCL, etc.) but not about the dimensionality of the kernel (1d, 2d, 3d).
Can we find a way to simplify this kind of functions, possibly without breaking the existing code ?
The text was updated successfully, but these errors were encountered: