Hawk is a training-free framework that boosts NPU kernel generation accuracy to 80% and achieves up to 2.2x speedup via hardware-aware knowledge synthesis, 2D retrieval, and effect-driven distillation.
Towards cold- start drafting and continual refining: A value-driven memory approach with application to npu kernel synthesis,
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Hawk: Harnessing Hardware-Aware Knowledge for High-Performance NPU Kernel Generation
Hawk is a training-free framework that boosts NPU kernel generation accuracy to 80% and achieves up to 2.2x speedup via hardware-aware knowledge synthesis, 2D retrieval, and effect-driven distillation.