I would recommend the course from Oxford (https://people.maths.ox.ac.uk/gilesm/cuda/ https://people.maths.ox.ac.uk/gilesm/cuda/). Also explore the tutorial sect

I would recommend the course from Oxford (https://people.maths.ox.ac.uk/gilesm/cuda/ https://people.maths.ox.ac.uk/gilesm/cuda/). Also explore the tutorial section of cutlass (https://github.com/NVIDIA/cutlass/blob/main/media/docs/cute/00_quickstart.md#tutorial https://github.com/NVIDIA/cutlass/blob/main/media/docs/cute/...) if you want to learn more about high performance gemm. OpenAI triton is another good resource if you want to write relatively performant cuda kernels using python for deep learning (https://openai.com/research/triton https://openai.com/research/triton)