面向高性能计算软件的AI赋能：挑战与研究方向
软件工程
2025-11-27 v1 人工智能
分布式、并行与集群计算
性能
摘要
本文讨论了利用AI技术（特别是大语言模型）革新化高性能计算(HPC)软件开发的挑战，并提出相应的研究方向。HPC软件被认识为一个高度专业化的科学领域。本文论述了将最先进的AI技术应用于开发这类独特且细分化软件的挑战，概述了两个由美国能源部资助的、旨在通过AI推动HPC软件发展的项目（Ellora和Durban）的研究方向。
引用
@article{arxiv.2505.08135,
title = {Leveraging AI for Productive and Trustworthy HPC Software: Challenges and Research Directions},
author = {Keita Teranishi and Harshitha Menon and William F. Godoy and Prasanna Balaprakash and David Bau and Tal Ben-Nun and Abhinav Bhatele and Franz Franchetti and Michael Franusich and Todd Gamblin and Giorgis Georgakoudis and Tom Goldstein and Arjun Guha and Steven Hahn and Costin Iancu and Zheming Jin and Terry Jones and Tze Meng Low and Het Mankad and Narasinga Rao Miniskar and Mohammad Alaul Haque Monil and Daniel Nichols and Konstantinos Parasyris and Swaroop Pophale and Pedro Valero-Lara and Jeffrey S. Vetter and Samuel Williams and Aaron Young},
journal= {arXiv preprint arXiv:2505.08135},
year = {2025}
}
备注
12 pages, 1 Figure, Accepted at "The 1st International Workshop on Foundational Large Language Models Advances for HPC" LLM4HPC to be held in conjunction with ISC High Performance 2025