BUILDING A GPU COMPILER FROM SCRATCH, FROM PYTORCH TO CUDA

Summary from the TLDR Hardware newsletter

This deep dive uses the Emmy compiler framework to follow PyTorch operations down to CUDA one lowering stage at a time: Tensor IR, Loop IR, Tile IR, Kernel IR, and finally emitted code. It uses RMSNorm and matrix multiplication as worked examples. It also covers operator fusion, schedule selection, and online attention rewrites, so readers can see what Triton-style stacks do under the hood.