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research-article

Simulating Power Scheduling at Scale

Authors:

Daniel Ellsworth,

Barry Rountree,

Allen MalonyAuthors Info & Claims

E2SC'17: Proceedings of the 5th International Workshop on Energy Efficient Supercomputing

Article No.: 2, Pages 1 - 8

https://doi.org/10.1145/3149412.3149414

Published: 12 November 2017 Publication History

Abstract

Comparison of power scheduling strategies at scale is challenging due to the limited availability of high performance computing (HPC) systems exposing power control to researchers. In this paper we describe PowSim, a simulator for comparing different power management strategies at large-scale for HPC systems. PowSim enables light-weight simulation of dynamically-changing hardware-enforced processor power caps at the scale of an HPC cluster, supporting power scheduling research. PowSim's architecture supports easily changing power scheduler, job scheduler, and application models to enable comparison studies. Preliminary results comparing generalized power scheduling strategies are also presented.

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Cited By

Wang BKozhokanova ATerboven CMueller M(2023)RLP: Power Management Based on a Latency-Aware Roofline Model2023 IEEE International Parallel and Distributed Processing Symposium (IPDPS)10.1109/IPDPS54959.2023.00052(446-456)Online publication date: May-2023
https://doi.org/10.1109/IPDPS54959.2023.00052
Srivastava TZhang HHoffmann H(2022)Penelope: Peer-to-peer Power ManagementProceedings of the 51st International Conference on Parallel Processing10.1145/3545008.3545047(1-11)Online publication date: 29-Aug-2022
https://dl.acm.org/doi/10.1145/3545008.3545047
Wang BMiller JTerboven CMüller M(2020)Operation-Aware Power CappingEuro-Par 2020: Parallel Processing10.1007/978-3-030-57675-2_5(68-82)Online publication date: 24-Aug-2020
https://dl.acm.org/doi/10.1007/978-3-030-57675-2_5

Index Terms

Simulating Power Scheduling at Scale
1. Hardware
  1. Power and energy
    1. Power estimation and optimization
      1. Enterprise level and data centers power issues

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Published In

cover image ACM Conferences

E2SC'17: Proceedings of the 5th International Workshop on Energy Efficient Supercomputing

November 2017

84 pages

ISBN:9781450351324

DOI:10.1145/3149412

Copyright © 2017 ACM.

Publication rights licensed to ACM. ACM acknowledges that this contribution was authored or co-authored by an employee, contractor or affiliate of the United States government. As such, the Government retains a nonexclusive, royalty-free right to publish or reproduce this article, or to allow others to do so, for Government purposes only.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 12 November 2017

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SC '17

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SIGHPC

SC '17: The International Conference for High Performance Computing, Networking, Storage and Analysis

November 12 - 17, 2017

CO, Denver, USA

Acceptance Rates

E2SC'17 Paper Acceptance Rate 10 of 21 submissions, 48%;

Overall Acceptance Rate 17 of 33 submissions, 52%

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2025 IEEE/ACM 46th International Conference on Software Engineering

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Cited By

Wang BKozhokanova ATerboven CMueller M(2023)RLP: Power Management Based on a Latency-Aware Roofline Model2023 IEEE International Parallel and Distributed Processing Symposium (IPDPS)10.1109/IPDPS54959.2023.00052(446-456)Online publication date: May-2023
https://doi.org/10.1109/IPDPS54959.2023.00052
Srivastava TZhang HHoffmann H(2022)Penelope: Peer-to-peer Power ManagementProceedings of the 51st International Conference on Parallel Processing10.1145/3545008.3545047(1-11)Online publication date: 29-Aug-2022
https://dl.acm.org/doi/10.1145/3545008.3545047
Wang BMiller JTerboven CMüller M(2020)Operation-Aware Power CappingEuro-Par 2020: Parallel Processing10.1007/978-3-030-57675-2_5(68-82)Online publication date: 24-Aug-2020
https://dl.acm.org/doi/10.1007/978-3-030-57675-2_5

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