AI RESEARCH
CUDABeaver: Benchmarking LLM-Based Automated CUDA Debugging
arXiv CS.LG
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ArXi:2605.08455v1 Announce Type: new Debugging CUDA programs has long been challenging because failures often arise from subtle interactions among hardware behavior, compiler decisions, memory hierarchy, and asynchronous execution. importantly, with the rapid expansion of GPU usage across scientific computing, machine learning, graphics, and systems workloads, CUDA debugging has become challenging than ever.