29 citations · 29 across the 6 of their papers we have counts for
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cs.CL2026
CUDA-Harness: Harnessing Agentic CUDA Kernel Generation and Optimization from Natural Language
Qi Fan, An Zou, Yehan Ma
Developing high-performance CUDA kernels demands specialized knowledge in algorithm implementation, correctness validation, and hardware-aware parallel optimization, creating a sub…
cs.LG2026
CUDABench: Benchmarking LLMs for Text-to-CUDA Generation
Jiace Zhu, Wentao Chen, Qi Fan +6
Recent studies have demonstrated the potential of Large Language Models (LLMs) in generating GPU Kernels. Current benchmarks focus on the translation of high-level languages into C…