AI Research
KernelMosaic: An Open Dataset and Agentic Framework for CUDA Kernel Generation
A resource for training models to generate and optimize CUDA kernels
Training large language models to generate efficient CUDA kernels requires supervision spanning diverse computational requirements and iterative code optimization.
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ArXiv CS.LG
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ArXiv CS.LG
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Generated insight by OnAirToday AI
Generating efficient CUDA kernels requires more than translating code: models need varied examples and a way to refine their outputs. A dataset and agentic framework could support both needs in kernel-generation research.
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