- By:
- Teranishi, Keita ; Menon, Harshitha; Godoy, William F; Balaprakash, Prasanna ; Bau, David; Ben-Nun, Tal; Bhatele, Abhinav; Franchetti, Franz; Franusich, Michael; Gamblin, Todd; Georgakoudis, Giorgis; Goldstein, Tom; Guha, Arjun; Hahn, Steven E; Iancu, Costin C; Jin, Zheming ; Jones, Terry R; Low, Tze-Meng; Mankad, Het Y; Miniskar, Narasinga Rao ; Monil, Mohammad Alaul Haque ; Nichols, Daniel; Parasyris, Konstantinos; Pophale, Swaroop S; Valero Lara, Pedro ; Vetter, Jeffrey S; Williams, Samuel; Young, Aaron R
- Page Number:
- 615-625
- Book Title:
- High Performance Computing
- Publication Date:
- March 12, 2026
- Publisher Location:
- Springer, Switzerland
- Conference Name:
- ISC High Performance 2025: International Conference on High Performance Computing
- Conference Location:
- Hamburg, Germany
- Conference Sponsor:
- ISC Group
- View DOI Listing:
- https://doi.org/10.1007/978-3-032-07612-0_47
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.
