- By:
- Shin, Woong ; Schultz, Karl; Lorenzon, Arthur; Maiterth, Matthias ; Alvarez, Bruno; Polo, Jorda; Kashi, Aditya ; Lu, Hao ; Koukpaizan, Nicholson K; Georgiadou, Antigoni ; Norman, Matthew R; Elwasif, Wael R; Matheson, Michael A; Wang, Feiyi ; Frontiere, Nicholas; Oral, Hakki S; Beck, Thomas L; Messer II, Otis E
- Page Number:
- 2007-2016
- Book Title:
- Proceedings of the SC '25 Workshops of the International Conference for High Performance Computing, Networking, Storage and Analysis
- Publication Date:
- March 12, 2026
- Conference Name:
- 2025 The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC25), Sustainable Supercomputing Workshop
- Conference Location:
- St. Louis, Missouri, United States of America
- Conference Sponsor:
- ACM, SIGHPC, IEEE Computer Society, TCHPC
- View DOI Listing:
- https://doi.org/10.1145/3731599.3767564
Abstract
Application energy optimization in HPC data centers face two critical gaps. Systematic methodologies that connect data center policies to application decisions and accessible monitoring tools that enable data-driven optimization. We address both gaps through two complementary pillars. First, we present a methodology based on extended weighted Energy Delay Product (EDP) to translate data center operational priorities and integrate energy considerations into the energy optimization workflow which starts from continuous monitoring through targeted optimization. Second, we present a user-space monitoring tool, Omnistat, that enables this methodology by providing developers with direct access to actionable energy telemetry. Through deployment on the Frontier supercomputer and case studies exploring performance-energy trade-offs, we show how these pillars help energy as an integral optimization target for developers as active participants in data center efficiency.
