Thrust, CUB, TBB, AVX2, CUDA, OpenCL, OpenMP, SyCL - all it takes to sum a lot of numbers fast!
Home Page: https://unum.cloud/post/2022-01-28-reduce
For the past 15 years, I have been coding mainly in C++, CUDA, Python, and optimizing Assembly on x86/ARM. Prefer spaces over tabs, east-const, and procedural programming over object-oriented or functional. My handle is @ashvardanian on LinkedIn, Twitter, Facebook, and YouTube.
Cherry picks:
On some architectures, we won't have access to CUDA.
On others, OpenCL might be an issue.
Furthermore, the compiler flags for non-GCC & non-NVCC builds have to be properly configured.
That would require a complete rewrite of CMakeLists.txt.
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