Holistic Approaches to HPC Power & Workflow Management: Preprint
- National Renewable Energy Laboratory (NREL), Golden, CO (United States)
- Intel Corporation
Constraints on power consumption are having pervasive effects on high-performance computing (HPC) systems, the facilities in which they are housed, and the application codes themselves. Whether these constraints are driven by physical limits on available power within a facility, are due to utility demand response, result from opportunities to reduce utility costs, or are imposed by sponsoring agencies, power management must now be added to the traditional goals of application and algorithm correctness, scalability, and performance. The specifics of these power constraints are likely to vary from site to site, and optimal strategies for managing power will vary. In this paper, we present the results of implementing several strategies for managing HPC system power and quantify the impact of these power reductions on application performance. These can be added to the suite of extant options that can be used to manage power and workflow on HPC systems.
- Research Organization:
- National Renewable Energy Lab. (NREL), Golden, CO (United States)
- Sponsoring Organization:
- USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR)
- DOE Contract Number:
- AC36-08GO28308
- OSTI ID:
- 1526195
- Report Number(s):
- NREL/CP-2C00-70920
- Resource Relation:
- Conference: Presented at the 9th International Green and Sustainable Computing Conference, 22-24 October 2018, Pittsburgh, Pennsylvania
- Country of Publication:
- United States
- Language:
- English
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