Horace He on Building ML Systems for Extreme-Scale Computation at Jane Street
Horace He from Meta's PyTorch team delivers a technical talk at Jane Street about building machine learning systems capable of operating at extreme scale — specifically systems designed to handle a trillion trillion floating point operations. The talk covers the intersection of compilers and machine learning, including innovations like torch.compile and FlexAttention, which enable significant performance improvements and flexible kernel design within the Python ecosystem. The content is a deep technical presentation aimed at an audience of quantitative trading engineers and computer scientists.
Key quotes
If you've used things like torch.compile, which is a thing in PyTorch that makes your model go like 2-4x faster in just one line of code.
Or if you've used FlexAttention, which is something that lets researchers design fast kernels for attention without leaving the world of Python.
He's the person responsible for both of those things.
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