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eng.aurelienpierre.com | ||
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blog.pkh.me
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ashvardanian.com
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| | | | | GPU acceleration can be trivial for Python users. Follow CUDA installation steps carefully, replace import numpy as np with import cupy as np, and you will often get the 100x performance boosts without breaking a sweat. Every time you write magical one-liners, remember a systems engineer is making your dreams come true. A couple of years ago, when I was giving a talk on the breadth of GPGPU technologies, I published a repo. A repo with various cool GPGPU staff in Vulkan, Halide, and most importantly, 8x implementations of std::accumulate in OpenCL. I know what you are thinking: | |
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blog.gougousis.net
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matbesancon.xyz
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| | | Learning by doing: detecting fraud on bank notes using Python in 3 steps. | ||
