Author

Wen-Tao Zhang

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Preprint Jul 2026

KernelGenBench: Can LLMs and Agents Write Efficient Kernels Across Operator Sources and Hardware Platforms?

KernelGenBench is presented, the first unified multi-source and multi-chip infrastructure for evaluating LLM- and agent-generated Triton kernels and establishes operator source, hardware platform, and agentic scaffold as distinct dimensions of kernel-generation capability, and shows that success in a familiar source-ha...

Pei-Yu Zang, Jian-Hang Tao, Jia-Ling Zhang et al. · 0 citations

Jul 2026

KernelGenBench: A Multi-Source and Multi-Chip Benchmark for LLM-based Kernel Generation

Large language models (LLMs) have significantly increased the demand for efficient accelerator kernels, but kernel development remains a highly specialized and labor-intensive task. The recent rise of LLMs and agentic frameworks offers a promising pathway toward automatic kernel generation. However, despite rapid progr...

Pei-Yu Zang, Jian-Hang Tao, Jia-Ling Zhang et al. · arXiv.org · 1 citation