Finalist
cob-farmers
fully autokernel generated
Core trick
Generates GPU kernels automatically with Helion, the PyTorch kernel DSL, rather than hand-writing CUDA.
Description
fully autokernel generated
README excerpt
<div align="center"> <img src="docs/_static/helion_nobackground.png" alt="Helion Logo" width="250"/> </div> # Events - **March 14, 2026**: Join us at our first **[PyTorch Helion Hackathon](https://cerebralvalley.ai/e/helion-hackathon)** to write the fastest Helion kernels and win cool prizes! @ San Francisco, CA - **June 15, 2026**: Helion Tutorial, [Writing Performance-Portable Kernels Simplified with Helion](https://pldi26.sigplan.org/details/pldi-2026-tutorials/1/Writing-Performance-Portable-Kernels-Simplified-with-Helion) @ PLDI 2026, Boulder, CO # About 📚 **[View Documentation](https://helionlang.com)** 📚 | 🎥 **[Watch Talk](https://youtu.be/BW-Ht-5IxgM)** 🎥 | 🚀 **[Try In Colab](https://colab.research.google.com/github/pytorch/helion/blob/main/notebooks/softmax.ipynb)** 🚀 | **[Try In AMD DevCloud](https://amd-ai-academy.com/github/pytorch/helion/blob/main/notebooks/softmax.ipynb)** **Helion** is a Python-embedded domain-specific language (DSL) for authoring machine learning kernels, designed to compile down to [Triton], a performant backend for programming GPUs and other devices. Helion aims to raise the level of abstraction compared to Triton, making it easier to write correct and efficient kernels while enabling more automation in the autotuning process. [Triton]: https://github.com/triton-lang/triton The name *Helion* refers to the nucleus of a helium-3 atom, while *Triton* refers to hydrogen-3. Helion can be viewed either as *PyTorch with tiles* or as *a hig