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Explore CUDA for C/C++, NVIDIA's parallel programming platform for GPU processors, in this 36-minute conference talk. Learn how to leverage C++ features to write safer and more efficient CUDA kernel code without compromising performance. Examine practical examples that demonstrate the advantages of using modern C++ techniques over traditional C-style code in CUDA programming. Gain insights into optimizing parallel computations on NVIDIA GPUs while enhancing code readability and maintainability.
Syllabus
CUDA Kernels with C++ - Michael Gopshtein
Taught by
NDC Conferences