Infatoshi/cuda-course

This is a GitHub-hosted CUDA course focused on GPU kernel optimization and performance, tailored for NVIDIA GPUs and designed for Ubuntu Linux (with options like WSL or Docker to simulate the environment). It covers CUDA, PyTorch, and Triton topics, including setting up tools, writing and optimizing kernels, and finishing with a CUDA MNIST MLP project.

A status summary will appear after the next weekly refresh.