ramikrispin,
@ramikrispin@mstdn.social avatar

Going Further with CUDA for Python Programmers 🚀

The second part of Jeremy Howard's lecture on for programmers is now available 👇🏼

📽️: https://www.youtube.com/watch?v=eUuGdh3nBGo

This lecture focuses on the following topics:
✅ Optimized Matrix Multiplication
✅ Shared Memory Techniques for CUDA
✅ Implementing Shared Memory Optimization
✅ Translating Python to CUDA and Performance Considerations
✅ Numba: Bringing Python and CUDA Together

Notebook: https://github.com/cuda-mode/lectures/blob/main/lecture5/matmul_l5.ipynb

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