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Both Julia base and CUDAnative support atomics so ideally we should have a unified way of using and accessing them in KernelAbstractions so that we can implement codes like:
Both Julia base and CUDAnative support atomics so ideally we should have a unified way of using and accessing them in KernelAbstractions so that we can implement codes like:
https://devblogs.nvidia.com/gpu-pro-tip-fast-histograms-using-shared-atomics-maxwell/
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