Elias Stengel-Eskin
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126
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ML×1AI×1
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2026
GPU Forecasters: Language Models as Selective Surrogates for Kernel Runtime Optimization
This paper demonstrates that Large Language Models (LLMs) can serve as accurate and selective surrogates for costly GPU kernel performance measurements, significantly expanding the search space for optimizing deep learning kernels.
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