research-article

Dynamic Application-aware Power Capping

Authors:

Christian Terboven,

Matthias S. MüllerAuthors Info & Claims

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

Article No.: 1, Pages 1 - 8

https://doi.org/10.1145/3149412.3149413

Published: 12 November 2017 Publication History

Abstract

A future large-scale high-performance computing (HPC) cluster will likely be power capped since the surrounding infrastructure like power supply and cooling is constrained. For such a cluster, it may be impossible to supply thermal design power (TDP) to all components. The default power supply of current system guarantees TDP to each computing node will become unfeasible. Power capping was introduced to limit power consumption to a value below TDP, with the drawback of resulting performance limitations. We developed an alternative dynamic application-aware power scheduling (DAPS) strategy to enforce a predetermined power limit and at the same time improve the cluster-wide performance. The power scheduling decision is guided by the cap value, the hardware usage, and the application-specific performance sensitivity to power. Applying DAPS on a test platform comprising 12 computing nodes with three representative applications, we obtained a performance improvement up to 17% compared to a strategy that distributes power equally and statically across nodes.

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Cited By

de Nardin IStolf PCaux S(2022)Evaluation of Heuristics to Manage a Data Center Under Power Constraints2022 IEEE 13th International Green and Sustainable Computing Conference (IGSC)10.1109/IGSC55832.2022.9969362(1-8)Online publication date: 24-Oct-2022
https://doi.org/10.1109/IGSC55832.2022.9969362
HE YWADA YLUO WSAKAMOTO RPAN GCAO TKONDO M(2021)Efficient and Precise Profiling, Modeling and Management on Power and Performance for Power Constrained HPC SystemsIEICE Transactions on Electronics10.1587/transele.2020LHP0005E104.C:6(237-246)Online publication date: 1-Jun-2021
https://doi.org/10.1587/transele.2020LHP0005
Kaushik PRaghavendra SGovindaraju MTiwari D(2020)Exploring the Potential of using Power as a First Class Parameter for Resource Allocation in Apache Mesos Managed Clouds2020 IEEE/ACM 13th International Conference on Utility and Cloud Computing (UCC)10.1109/UCC48980.2020.00040(216-226)Online publication date: Dec-2020
https://doi.org/10.1109/UCC48980.2020.00040
Show More Cited By

Index Terms

Dynamic Application-aware Power Capping
1. Hardware
  1. Power and energy
    1. Power estimation and optimization

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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.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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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

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

Overall Acceptance Rate 17 of 33 submissions, 52%

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Cited By

de Nardin IStolf PCaux S(2022)Evaluation of Heuristics to Manage a Data Center Under Power Constraints2022 IEEE 13th International Green and Sustainable Computing Conference (IGSC)10.1109/IGSC55832.2022.9969362(1-8)Online publication date: 24-Oct-2022
https://doi.org/10.1109/IGSC55832.2022.9969362
HE YWADA YLUO WSAKAMOTO RPAN GCAO TKONDO M(2021)Efficient and Precise Profiling, Modeling and Management on Power and Performance for Power Constrained HPC SystemsIEICE Transactions on Electronics10.1587/transele.2020LHP0005E104.C:6(237-246)Online publication date: 1-Jun-2021
https://doi.org/10.1587/transele.2020LHP0005
Kaushik PRaghavendra SGovindaraju MTiwari D(2020)Exploring the Potential of using Power as a First Class Parameter for Resource Allocation in Apache Mesos Managed Clouds2020 IEEE/ACM 13th International Conference on Utility and Cloud Computing (UCC)10.1109/UCC48980.2020.00040(216-226)Online publication date: Dec-2020
https://doi.org/10.1109/UCC48980.2020.00040
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
Ramesh SPerarnau SBhalachandra SMalony ABeckman P(2019)Understanding the Impact of Dynamic Power Capping on Application Progress2019 IEEE International Parallel and Distributed Processing Symposium (IPDPS)10.1109/IPDPS.2019.00088(793-804)Online publication date: May-2019
https://doi.org/10.1109/IPDPS.2019.00088
Wang BKlinkenberg JEllsworth DTerboven CMuller M(2019)Performance Prediction for Power-Capped Applications based on Machine Learning Algorithms2019 International Conference on High Performance Computing & Simulation (HPCS)10.1109/HPCS48598.2019.9188144(842-849)Online publication date: Jul-2019
https://doi.org/10.1109/HPCS48598.2019.9188144
Gómez-Martín CVega-Rodríguez M(2018)Optimization of resources in parallel systems using a multiobjective artificial bee colony algorithmThe Journal of Supercomputing10.1007/s11227-018-2407-574:8(4019-4036)Online publication date: 1-Aug-2018
https://dl.acm.org/doi/10.1007/s11227-018-2407-5

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