Leveraging AI for Productive and Trustworthy HPC Software: Challenges and Research Directions
Leveraging AI for Productive and Trustworthy HPC Software: Challenges and Research Directions
We discuss the challenges and propose research directions for using AI to revolutionize the development of high-performance computing (HPC) software. AI technologies, in particular large language models, have transformed every aspect of software development. For its part, HPC software is recognized as a highly specialized scientific field of its own. We discuss the challenges associated with leveraging state-of-the-art AI technologies to develop such a unique and niche class of software and outline our research directions in the two US Department of Energy--funded projects for advancing HPC Software via AI: Ellora and Durban.
Keita Teranishi、Harshitha Menon、William F. Godoy、Prasanna Balaprakash、David Bau、Tal Ben-Nun、Abhinav Bhatele、Franz Franchetti、Michael Franusich、Todd Gamblin、Giorgis Georgakoudis、Tom Goldstein、Arjun Guha、Steven Hahn、Costin Iancu、Zheming Jin、Terry Jones、Tze Meng Low、Het Mankad、Narasinga Rao Miniskar、Mohammad Alaul Haque Monil、Daniel Nichols、Konstantinos Parasyris、Swaroop Pophale、Pedro Valero-Lara、Jeffrey S. Vetter、Samuel Williams、Aaron Young
计算技术、计算机技术
Keita Teranishi,Harshitha Menon,William F. Godoy,Prasanna Balaprakash,David Bau,Tal Ben-Nun,Abhinav Bhatele,Franz Franchetti,Michael Franusich,Todd Gamblin,Giorgis Georgakoudis,Tom Goldstein,Arjun Guha,Steven Hahn,Costin Iancu,Zheming Jin,Terry Jones,Tze Meng Low,Het Mankad,Narasinga Rao Miniskar,Mohammad Alaul Haque Monil,Daniel Nichols,Konstantinos Parasyris,Swaroop Pophale,Pedro Valero-Lara,Jeffrey S. Vetter,Samuel Williams,Aaron Young.Leveraging AI for Productive and Trustworthy HPC Software: Challenges and Research Directions[EB/OL].(2025-05-12)[2025-06-21].https://arxiv.org/abs/2505.08135.点此复制
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