What does Power Consumption Behavior of HPC Jobs Reveal?: Demystifying, Quantifying, and Predicting Power Consumption Characteristics

Patel T, Wagenhäuser A, Eibel C, Hönig T, Zeiser T, Tiwari D (2020)

Publication Type: Conference contribution

Publication year: 2020

Publisher: Institute of Electrical and Electronics Engineers Inc.

Pages Range: 799-809

Conference Proceedings Title: Proceedings - 2020 IEEE 34th International Parallel and Distributed Processing Symposium, IPDPS 2020

Event location: New Orleans, LA US

ISBN: 9781728168760

DOI: 10.1109/IPDPS47924.2020.00087

Abstract

As we approach exascale computing, large-scale HPC systems are becoming increasingly power-constrained, requiring them to run HPC workloads in an energy-efficient manner. The first step toward achieving this goal is to better understand, analyze, and quantify the power consumption characteristics of HPC jobs. However, there is a lack of understanding of the power consumption characteristics of HPC jobs which run on production HPC systems. Such characterization is required to guide the design of the next generation of power-aware resource management. To the best of our knowledge, we are the first study to open-source the data and analysis of power-consumption characteristics of HPC jobs and users from two medium-scale production HPC clusters.

Authors with CRIS profile

Adam Wagenhäuser Lehrstuhl für Informatik 4 (Verteilte Systeme und Betriebssysteme) Christopher Eibel Lehrstuhl für Informatik 4 (Verteilte Systeme und Betriebssysteme) Timo Hönig Lehrstuhl für Informatik 4 (Verteilte Systeme und Betriebssysteme) Thomas Zeiser Regionales Rechenzentrum Erlangen (RRZE)

Involved external institutions

Northeastern University US United States (USA) (US)

How to cite

APA:

Patel, T., Wagenhäuser, A., Eibel, C., Hönig, T., Zeiser, T., & Tiwari, D. (2020). What does Power Consumption Behavior of HPC Jobs Reveal?: Demystifying, Quantifying, and Predicting Power Consumption Characteristics. In Proceedings - 2020 IEEE 34th International Parallel and Distributed Processing Symposium, IPDPS 2020 (pp. 799-809). New Orleans, LA, US: Institute of Electrical and Electronics Engineers Inc..

MLA:

Patel, Tirthak, et al. "What does Power Consumption Behavior of HPC Jobs Reveal?: Demystifying, Quantifying, and Predicting Power Consumption Characteristics." Proceedings of the 34th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2020, New Orleans, LA Institute of Electrical and Electronics Engineers Inc., 2020. 799-809.

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