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

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 E. 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

doi:10.1007/978-3-032-07612-0_47

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

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 E. 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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	High Performance Computing - ISC High Performance 2025 International Workshops, Revised Selected Papers
Editors	Sarah Neuwirth, Arnab Kumar Paul, Tobias Weinzierl, Erin Claire Carson
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	615-625
Number of pages	11
ISBN (Print)	9783032076113
DOIs	https://doi.org/10.1007/978-3-032-07612-0_47
State	Published - 2026
Event	40th International Conference on High Performance Computing, ISC High Performance 2025 - Hamburg, Germany Duration: Jun 10 2025 → Jun 13 2025

Publication series

Name	Lecture Notes in Computer Science
Volume	16091 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	40th International Conference on High Performance Computing, ISC High Performance 2025
Country/Territory	Germany
City	Hamburg
Period	06/10/25 → 06/13/25

Funding

This material is based upon work supported by the U.S. Department of Energy, Office of Science, Office of Advanced Scientific Computing Research, through solicitation DE-FOA-0003264, “Advancements in Artificial Intelligence for Science,” under Award Numbers DE-SC0025598 and DE-SC0025645. This manuscript has been authored by UT-Battelle, LLC, under contract DE-AC05-00OR22725 with the US Department of Energy (DOE). The US government retains and the publisher, by accepting the article for publication, acknowledges that the US government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for US government purposes. DOE will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (https://www.energy.gov/doe-public-access-plan). This work performed under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under Contract DE-AC52-07NA27344 (LLNL-CONF-2005811). This manuscript has been authored by an author at Lawrence Berkeley National Laboratory under Contract No. DE-AC02-05CH11231 with the U.S. Department of Energy. The U.S. Government retains, and the publisher, by accepting the article for publication, acknowledges, that the U.S. Government retains a non-exclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this manuscript, or allow others to do so, for U.S. Government purposes.

Keywords

AI
HPC Software
Large language models
Parallel code
Performance portability

Access to Document

10.1007/978-3-032-07612-0_47

Cite this

Teranishi, K., Menon, H., Godoy, W. F., Balaprakash, P., Bau, D., Ben-Nun, T., Bhatele, A., Franchetti, F., Franusich, M., Gamblin, T., Georgakoudis, G., Goldstein, T., Guha, A., Hahn, S. E., Iancu, C., Jin, Z., Jones, T., Low, T. M., Mankad, H., ... Young, A. (2026). Leveraging AI for Productive and Trustworthy HPC Software: Challenges and Research Directions. In S. Neuwirth, A. K. Paul, T. Weinzierl, & E. C. Carson (Eds.), High Performance Computing - ISC High Performance 2025 International Workshops, Revised Selected Papers (pp. 615-625). (Lecture Notes in Computer Science; Vol. 16091 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-032-07612-0_47

Teranishi, Keita ; Menon, Harshitha ; Godoy, William F. et al. / Leveraging AI for Productive and Trustworthy HPC Software : Challenges and Research Directions. High Performance Computing - ISC High Performance 2025 International Workshops, Revised Selected Papers. editor / Sarah Neuwirth ; Arnab Kumar Paul ; Tobias Weinzierl ; Erin Claire Carson. Springer Science and Business Media Deutschland GmbH, 2026. pp. 615-625 (Lecture Notes in Computer Science).

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Teranishi, K, Menon, H, Godoy, WF , Balaprakash, P, Bau, D, Ben-Nun, T, Bhatele, A, Franchetti, F, Franusich, M, Gamblin, T, Georgakoudis, G, Goldstein, T, Guha, A, Hahn, SE, Iancu, C, Jin, Z, Jones, T, Low, TM, Mankad, H , Miniskar, NR , Monil, MAH, Nichols, D, Parasyris, K, Pophale, S , Valero-Lara, P , Vetter, JS, Williams, S & Young, A 2026, Leveraging AI for Productive and Trustworthy HPC Software: Challenges and Research Directions. in S Neuwirth, AK Paul, T Weinzierl & EC Carson (eds), High Performance Computing - ISC High Performance 2025 International Workshops, Revised Selected Papers. Lecture Notes in Computer Science, vol. 16091 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 615-625, 40th International Conference on High Performance Computing, ISC High Performance 2025, Hamburg, Germany, 06/10/25. https://doi.org/10.1007/978-3-032-07612-0_47

Leveraging AI for Productive and Trustworthy HPC Software: Challenges and Research Directions. / Teranishi, Keita; Menon, Harshitha; Godoy, William F. et al.
High Performance Computing - ISC High Performance 2025 International Workshops, Revised Selected Papers. ed. / Sarah Neuwirth; Arnab Kumar Paul; Tobias Weinzierl; Erin Claire Carson. Springer Science and Business Media Deutschland GmbH, 2026. p. 615-625 (Lecture Notes in Computer Science; Vol. 16091 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Teranishi K, Menon H, Godoy WF , Balaprakash P, Bau D, Ben-Nun T et al. Leveraging AI for Productive and Trustworthy HPC Software: Challenges and Research Directions. In Neuwirth S, Paul AK, Weinzierl T, Carson EC, editors, High Performance Computing - ISC High Performance 2025 International Workshops, Revised Selected Papers. Springer Science and Business Media Deutschland GmbH. 2026. p. 615-625. (Lecture Notes in Computer Science). doi: 10.1007/978-3-032-07612-0_47