CUDA C++ Best Practices Guide - NVIDIA Developer

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CUDA C++ Best Practices Guide DG-05603-001_v11.6 | x Parallelize Having identified the hotspots and having done the basic exercises to set goals and expectations, the developer needs to parallelize the code. Depending on the original code, this can be as simple as calling into an existing GPU-optimized library such as cuBLAS, cuFFT,

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