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Master CUDA programming and harness the power of GPUs for high-performance computing and deep learning in this comprehensive 11-hour 55-minute course. Begin with an introduction to the deep learning ecosystem before diving into CUDA setup and a C/C++ review. Explore GPU architecture and learn to write your first CUDA kernels. Delve into the CUDA API and optimize matrix multiplication techniques. Discover Triton, a language for writing fast GPU code, and create PyTorch extensions. Apply your skills by implementing an MNIST multi-layer perceptron. Access accompanying code on GitHub, connect with the instructor on various platforms, and gain practical experience to accelerate your high-performance computing projects.
