2 papers
cs.LG2026
From Tokens to Regions: CUDA-Sensitive Instruction Tuning for GPU Kernel Generation
Wentao Chen, Jiace Zhu, Xing Zhe Chai +4
High-performance CUDA kernels are essential for scalable AI systems, while Large Language Models (LLMs) still struggle to generate correct kernels due to strict and implicit execut…
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…