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This should be simple to add, since the used framework KernelAbstractions.jl supports multiple architectures including CPU, CUDA, ROCm.
It should only need the option to initialize the arrays as ROCm arrays if a ROCm capable card is detected.
The text was updated successfully, but these errors were encountered:
This should be simple to add, since the used framework KernelAbstractions.jl supports multiple architectures including CPU, CUDA, ROCm.
It should only need the option to initialize the arrays as ROCm arrays if a ROCm capable card is detected.
The text was updated successfully, but these errors were encountered: