This repository provides a comprehensive guide to optimizing GPU kernels for performance, with a focus on NVIDIA GPUs. It covers key tools and techniques such as CUDA, PyTorch, and Triton, aimed at improving computational efficiency for deep learning and scientific computing tasks.
multiprocessing
multithreading
jit
triton
kernels
gpu-programming
cuda-programming
matmul
torchquantum
mojo-language
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Updated
Nov 13, 2024 - Cuda