用AI提升高性能计算软件开发效率与可信度
Leveraging AI for Productive and Trustworthy HPC Software: Challenges and Research Directions
- 利用大模型等AI技术重构HPC软件开发流程
- 提出两个能源部资助项目的研究方向
- 面向高精度科学计算领域的可信AI应用
我们探讨了利用人工智能技术革新高性能计算（HPC）软件开发所面临的挑战，并提出研究方向。人工智能，特别是大语言模型，已深刻改变软件开发的各个环节。而HPC软件本身被视为一个高度专业化且独特的科学领域。本文分析了将前沿AI技术应用于此类特殊软件开发所面临的难题，并概述了两项由美国能源部资助的项目——Ellora与Durban——在通过AI推动HPC软件发展的研究路径。
原文摘要 · Abstract (English)
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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