Open-Sourced CUDA Programming Course Hits 3.9k Stars on GitHub
tom_doerr · x · 2026-08-13
FreeCodeCamp released a structured curriculum for CUDA programming and GPU kernel optimization, now open-sourced on GitHub with 3.9k stars.
The course is step-by-step and covers:
- Fundamentals: Deep learning ecosystem overview, setup, and C/C++ review.
- Core Topics: Gentle intro to GPUs, writing custom kernels, utilizing CUDA APIs (cuBLAS, cuDNN), and optimizing matrix multiplication.
- Ecosystem: Leveraging Triton and PyTorch Extensions.
- Hands-on Project: Building a multilayer perceptron (MLP) for MNIST classification.
It aims to lower the barrier to entry for HPC jobs and provide a foundation for understanding low-level optimization projects.
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