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I wrote GPU kernels for GPT2 124M inference engine from scratch in ~1500 lines of CUDA. Here I explain it simply.

ninjaHattori1

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157,478 次观看 • 6 天前 •via X (Twitter)

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I built a GPT2 124M inference engine from scratch in ~1000 lines of C++. Here I explain it simply.

I built a GPT2 124M inference engine from scratch in ~1000 lines of C++. Here I explain it simply.

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The best way to learn CUDA is by solving problems. In this video, I implement 7 beginner CUDA kernels from scratch: • Vector Addition • Matrix Transpose • Matrix Addition • RGB to Grayscale • Value Clipping • Sigmoid Activation • Interleave Arrays If you're getting started with CUDA programming, this should give you a solid foundation.

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