Author

Jia-Ling 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

It is shown that agent-based methods consistently outperform pure LLM sampling methods, while cuBLAS operators are the most challenging across all methods, and a unified benchmark for systematically evaluating LLM-and agent-generated Triton kernels across diverse operator sources and heterogeneous hardware platforms is...

Pei-Yu Zang, Jian-Hang Tao, Jia-Ling Zhang et al. · arXiv.org · 2 citations · ⚡1