TLDR Tech / Practical
Constructing a GPU Compiler from the Ground Up
This detailed guide outlines the process of building a GPU compiler from scratch, utilizing the Emmy compiler framework to trace PyTorch operations down to CUDA code through progressive lowering. The author walks through each stage of the compiler—including PyTorch IR, Tensor IR, Loop IR, Tile IR, Kernel IR, and the final CUDA code output—using examples of RMSNorm and matrix multiplication. The discussion also includes optimization techniques like operator fusion, normalization, schedule selection, and online attention rewrites.
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