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Article

A performance-conserving approach for reducing peak power consumption in server systems

Authors:

Karthick Rajamani,

Cosmin RusuAuthors Info & Claims

ICS '05: Proceedings of the 19th annual international conference on Supercomputing

Pages 293 - 302

https://doi.org/10.1145/1088149.1088188

Published: 20 June 2005 Publication History

Abstract

The combination of increasing component power consumption, a desire for denser systems, and the required performance growth in the face of technology-scaling issues are posing enormous challenges for powering and cooling of server systems. The challenges are directly linked to the peak power consumption of servers.Our solution, Power Shifting, reduces the peak power consumption of servers minimizing the impact on performance. We reduce peak power consumption by using workload-guided dynamic allocation of power among components incorporating real-time performance feedback, activity-related power estimation techniques, and performance-sensitive activity-regulation mechanisms to enforce power budgets.We apply our techniques to a computer system with a single processor and memory. Power shifting adds a system power manager with a dynamic, global view of the system's power consumption to continuously re-budget the available power amongst the two components. Our contributions include:• Demonstration of the greater effectiveness of dynamic power allocation over static budgeting,• Evaluation of different power shifting policies,• Analysis of system and workload factors critical to successful power shifting, and• Proposal of performance-sensitive power budget enforcement mechanisms that ensure system reliability.

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Cited By

Costero LIgual FOlcoz K(2023)Dynamic power budget redistribution under a power cap on multi-application environmentsSustainable Computing: Informatics and Systems10.1016/j.suscom.2023.10086538(100865)Online publication date: Apr-2023
https://doi.org/10.1016/j.suscom.2023.100865
Ortega CAlvarez LBuyuktosunoglu ABertran Monfort RRosedahl TBose PMoreto Planas M(2022)Adaptive Power Shifting for Power-Constrained Heterogeneous SystemsIEEE Transactions on Computers10.1109/TC.2022.3174545(1-1)Online publication date: 2022
https://doi.org/10.1109/TC.2022.3174545
Yahya JVolos HBartolini DAntoniou GKim JWang ZKalaitzidis KRollet TChen ZGeng YMutlu OSazeides Y(2022)AgileWatts: An Energy-Efficient CPU Core Idle-State Architecture for Latency-Sensitive Server Applications2022 55th IEEE/ACM International Symposium on Microarchitecture (MICRO)10.1109/MICRO56248.2022.00063(835-850)Online publication date: Oct-2022
https://doi.org/10.1109/MICRO56248.2022.00063
Show More Cited By

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A performance-conserving approach for reducing peak power consumption in server systems

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Published In

cover image ACM Conferences

ICS '05: Proceedings of the 19th annual international conference on Supercomputing

June 2005

414 pages

ISBN:1595931678

DOI:10.1145/1088149

General Chair:
Arvind
MIT
,
Program Chair:
Larry Rudolph
MIT

Copyright © 2005 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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SIGARCH: ACM Special Interest Group on Computer Architecture

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New York, NY, United States

Publication History

Published: 20 June 2005

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ICS05

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ICS05: International Conference on Supercomputing 2005

June 20 - 22, 2005

Massachusetts, Cambridge

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Overall Acceptance Rate 629 of 2,180 submissions, 29%

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Cited By

Costero LIgual FOlcoz K(2023)Dynamic power budget redistribution under a power cap on multi-application environmentsSustainable Computing: Informatics and Systems10.1016/j.suscom.2023.10086538(100865)Online publication date: Apr-2023
https://doi.org/10.1016/j.suscom.2023.100865
Ortega CAlvarez LBuyuktosunoglu ABertran Monfort RRosedahl TBose PMoreto Planas M(2022)Adaptive Power Shifting for Power-Constrained Heterogeneous SystemsIEEE Transactions on Computers10.1109/TC.2022.3174545(1-1)Online publication date: 2022
https://doi.org/10.1109/TC.2022.3174545
Yahya JVolos HBartolini DAntoniou GKim JWang ZKalaitzidis KRollet TChen ZGeng YMutlu OSazeides Y(2022)AgileWatts: An Energy-Efficient CPU Core Idle-State Architecture for Latency-Sensitive Server Applications2022 55th IEEE/ACM International Symposium on Microarchitecture (MICRO)10.1109/MICRO56248.2022.00063(835-850)Online publication date: Oct-2022
https://doi.org/10.1109/MICRO56248.2022.00063
Hernández PCostero LOlcoz KIgual F(2022)Applying Game-Learning Environments to Power Capping Scenarios via Reinforcement LearningCloud Computing, Big Data & Emerging Topics10.1007/978-3-031-14599-5_7(91-106)Online publication date: 5-Aug-2022
https://doi.org/10.1007/978-3-031-14599-5_7
Wu SChen YWang XJin HLiu FChen HYan C(2021)Precise Power Capping for Latency-Sensitive Applications in DatacenterIEEE Transactions on Sustainable Computing10.1109/TSUSC.2018.28818936:3(469-480)Online publication date: 1-Jul-2021
https://doi.org/10.1109/TSUSC.2018.2881893
Tan XCui W(2020)Production scheduling problem under peak power constraint2020 IEEE Sustainable Power and Energy Conference (iSPEC)10.1109/iSPEC50848.2020.9351234(2083-2088)Online publication date: 23-Nov-2020
https://doi.org/10.1109/iSPEC50848.2020.9351234
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
Krzywda JMeyer VXavier MAli-Eldin AOstberg PDe Rose CElmroth E(2020)Modeling and Simulation of QoS-Aware Power Budgeting in Cloud Data Centers2020 28th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP)10.1109/PDP50117.2020.00020(88-93)Online publication date: Mar-2020
https://doi.org/10.1109/PDP50117.2020.00020
Haj-Yahya JAlser MKim JYaglikci AVijaykumar NRotem EMutlu O(2020)SysScale: Exploiting Multi-domain Dynamic Voltage and Frequency Scaling for Energy Efficient Mobile Processors2020 ACM/IEEE 47th Annual International Symposium on Computer Architecture (ISCA)10.1109/ISCA45697.2020.00029(227-240)Online publication date: May-2020
https://doi.org/10.1109/ISCA45697.2020.00029
Arima EHanawa TTrinitis CSchulz M(2020)Footprint-Aware Power Capping for Hybrid Memory Based SystemsHigh Performance Computing10.1007/978-3-030-50743-5_18(347-369)Online publication date: 15-Jun-2020
https://doi.org/10.1007/978-3-030-50743-5_18
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