Leveraging AI for Productive and Trustworthy HPC Software: Challenges and Research Directions

• URL: http://arxiv.org/abs/2505.08135v1
• Date: Tue, 13 May 2025 00:12:45 GMT
• Title: Leveraging AI for Productive and Trustworthy HPC Software: Challenges and Research Directions
• Abstract summary: We discuss the challenges associated with leveraging state-of-the-art AI technologies to develop a unique and niche class of software.<n>We outline our research directions in the two US Department of Energy--funded projects for advancing HPC Software via AI: Ellora and Durban.
• Score: 41.19519861014824
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: 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.

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