Custom Kernels for All from Codex and Claude

A new agent skill has been developed to teach coding agents how to write production-ready CUDA kernels, which are crucial for optimizing performance in computational tasks involving GPUs. The skill provides agents with the necessary domain knowledge, such as GPU architecture specifics, memory access patterns, and integration strategies for libraries like PyTorch, to write and benchmark kernels effectively. By targeting real-world applications, such as a diffusers pipeline and a transformers model, agents successfully generated and optimized kernels that demonstrated performance improvements over baseline PyTorch implementations. The skill integrates with the HuggingFace Kernel Hub, enabling easy distribution and loading of pre-compiled kernels, thereby simplifying the deployment process and making it accessible for use without needing to compile from source. This approach not only streamlines the development of custom kernels but also ensures they are efficiently shared and utilized across various platforms.

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