Thonk From First Principles
Horace HeML Systems from first principles. Aims to be better than a ChatGPT summary.
| Platform |  | Pricing | Freemium | Publishes | Weekly |
|---|---|---|---|---|---|
| Issues | 4 | Subscribers | Read | thonking.ai |
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Latest Issues
Recent posts by this newsletter. Browse the email archive.
Strangely, Matrix Multiplications on GPUs Run Faster When Given "Predictable" Data! [short]
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.
What Shapes Do Matrix Multiplications Like? [medium]
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.
Supporting Mixtral in gpt-fast through torch.compile [short]
About 2 months after the work was actually done, we finally merged mixtral support into gpt-fast! Check the code out here: https://github.com/pytorch-labs/gpt-fast/tree/main/mixtral-moe
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