[P] Achieving peak performance on GPU

Hi r/MachineLearning! I recently went into the CUDA programming rabbit hole. In the process, I came across matrix multiplication and was amazed by how complicated the algorithm is in CUDA (especially if you want to get the best performance). I found the learning process quite gruelling (the CUDA docs were very average), so I wrote a tiny blog which hopefully helps anyone in the same position.

You can read the blog on [Medium (no paywall)](https://towardsdatascience.com/matrix-multiplication-on-the-gpu-e920e50207a8?source=friends_link&sk=020a915e1fce7d910aacda22bce89129) or [HackMD](https://hackmd.io/@andylo/matrix-multiplication-on-gpu). It would probably …

algorithm cuda found gpu machinelearning matrix matrix multiplication peak performance process programming rabbit the algorithm