Rebuilding Triton and Helion from Scratch in 4,000 Lines of Python
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Triton and Helion are how most custom GPU kernels get written today. Triton, from OpenAI, lets you write a kernel as a Python function over a block of data and handles the thread mapping, memory coalescing, shared memory and tensor cores for you. Helion, from PyTorch, sits one level higher and generates and tunes Triton kernels from tile-level code. Both are excellent, and both are large: Triton alone is hundreds of thousands of lines built on MLIR and LLVM. I wanted to understand how that…
1Key Takeaways
- Triton and Helion are how most custom GPU kernels get written today.
- Triton, from OpenAI, lets you write a kernel as a Python function over a block of data and handles the thread mapping, memory coalescing, shared memory and tensor cores for you.
- Helion, from PyTorch, sits one level higher and generates and tunes Triton kernels from tile-level code.
- Both are excellent, and both are large: Triton alone is hundreds of thousands of lines built on MLIR and LLVM.
2AIWedia Score
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — ML reports that triton and Helion are how most custom GPU kernels get written today.
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