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cs.DC2026
AscendCraft: Automatic Ascend NPU Kernel Generation via DSL-Guided Transcompilation
Zhongzhen Wen, Shudi Shao, Zhong Li +4
The performance of deep learning models critically depends on efficient kernel implementations, yet developing high-performance kernels for specialized accelerators remains time-co…
cs.DC2025
MultiKernelBench: A Multi-Platform Benchmark for Kernel Generation
Zhongzhen Wen, Yinghui Zhang, Zhong Li +3
The automatic generation of deep learning (DL) kernels using large language models (LLMs) has emerged as a promising approach to reduce the manual effort and hardware-specific expe…