Tutorial CUDA programming in Python with numba and cupy

YOUR LINK HERE:

http://youtube.com/watch?v=9bBsvpg-Xlk

/Using the GPU can substantially speed up all kinds of numerical problems. Conventional wisdom dictates that for fast numerics you need to be a C/C++ wizz. It turns out that you can get quite far with only python. In this video, I explain how you can use cupy together with numba to perform calculations on NVIDIA GPU's. Production quality is not the best, but I hope you may find it useful. • • 00:00 Introduction: GPU programming in python, why? • 06:52 Cupy intro • 08:39 Cupy demonstration in Google colab • 19:54 Cupy summary • 20:21 Numba.cuda and kernels intro • 25:07 Grids, blocks and threads • 27:12 Matrix multiplication kernel • 29:20 Tiled matrix multiplication kernel and shared memory • 34:31 Numba.cuda demonstration in Google colab • 44:25 Final remarks • • Edit 3/9/2021: the notebook is use for demonstration can be found here https://colab.research.google.com/dri... • • Edit 9/9/2021: at 23:56 one of the grid elements should be labeled 1,3 instead of 1,2. Thanks to _______ for pointing this out.

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