Topic

Intermediate Representation (IR)

All digests tagged Intermediate Representation (IR)

Suggested route

Topic journey

Move from earlier context through the available material to the newest signals. This route is a reading aid, not a difficulty ranking.

Start here

Building a GPU Compiler from Scratch: Lowering PyTorch Graphs to CUDA via Multi-Level IRs Oct 8, 2026 · 53:59 Learn how ML compilers progressively lower PyTorch graphs to efficient CUDA kernels. We explore the IR stack: from PyTorch to Loop IR, Tiling, and Kernel IR, detailing fusion and scheduling.

Recent signals

Lecture 117:Building a GPU Compiler from Scratch Oct 9, 2026 · 54:01 Learn how progressive IR lowering transforms PyTorch layers into efficient GPU kernels. We explore the compiler stack: PyTorch $\rightarrow$ Tensor AR $\rightarrow$ Loop IR $\rightarrow$ Tile IR $\rightarrow$ CUDA, detailing fusion, normalization, and tiling for maximum performance.

GPU MODE

Lecture 117:Building a GPU Compiler from Scratch

Learn how progressive IR lowering transforms PyTorch layers into efficient GPU kernels. We explore the compiler stack: PyTorch $\rightarrow$ Tensor AR $\rightarrow$ Loop IR $\rightarrow$ Tile IR $\rightarrow$ CUDA, detailing fusion, normalization, and tiling for maximum performance.

Read article

GPU MODE

Building a GPU Compiler from Scratch: Lowering PyTorch Graphs to CUDA via Multi-Level IRs

Learn how ML compilers progressively lower PyTorch graphs to efficient CUDA kernels. We explore the IR stack: from PyTorch to Loop IR, Tiling, and Kernel IR, detailing fusion and scheduling.

Read article