ML Systems from first principles. Aims to be better than a ChatGPT summary.
Platform | Substack | Pricing | Freemium | Publishes | Monthly |
---|---|---|---|---|---|
Issues | 5 | Subscribers | Read | thonking.ai |
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I have a blog post up on the PyTorch blog (as part of my day job) on FlexAttention: https://pytorch.org/blog/flexattention/ (work done with Driss Guessous, Yanbo Liang, and Joy Dong). And here’s a tweet thread.
It’s 2022. I check out this cool new project, CUTLASS, with very fast matmuls. I take a large matmul, 8192 x 8192 x 8192, and benchmark it in PyTorch, which calls CuBLAS.
A while back, Karpathy tweeted that increasing the size of his matmul made it run faster. Surprisingly, it’s not just relatively faster, it takes less absolute time. In other words, despite doing more work, it is executing in less time.
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