30 citations · 30 across the 3 of their papers we have counts for
3 papers
KEET: Explaining Performance of GPU Kernels Using LLM Agents
Joshua H. Davis, Klaudiusz Rydzy, Srinivasan Ramesh +5
Performance profiles of GPU kernels generated by tools such as Nsight Compute are rich in detail but are often challenging to interpret. To achieve the best performance possible on…
ParEval-Repo: A Benchmark Suite for Evaluating LLMs with Repository-level HPC Translation Tasks
Joshua H. Davis, Daniel Nichols, Ishan Khillan +1
GPGPU architectures have become significantly more diverse in recent years, which has led to an emergence of a variety of specialized programming models and software stacks to supp…
Can Large Language Models Write Parallel Code?
Daniel Nichols, Joshua H. Davis, Zhaojun Xie +2
Large language models are increasingly becoming a popular tool for software development. Their ability to model and generate source code has been demonstrated in a variety of conte…