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The benefits of event: driven energy accounting in power-sensitive systems

Author:

Frank BellosaAuthors Info & Claims

EW 9: Proceedings of the 9th workshop on ACM SIGOPS European workshop: beyond the PC: new challenges for the operating system

Pages 37 - 42

https://doi.org/10.1145/566726.566736

Published: 17 September 2000 Publication History

Abstract

A prerequisite of energy-aware scheduling is precise knowledge of any activity inside the computer system. Embedded hardware monitors (e.g., processor performance counters) have proved to offer valuable information in the field of performance analysis. The same approach can be applied to investigate the energy usage patterns of individual threads. We use information about active hardware units (e.g., integer/floating-point unit, cache/memory interface) gathered by event counters to establish a thread-specific energy accounting. The evaluation shows that the correlation of events and energy values provides the necessary information for energy-aware scheduling policies.Our approach to OS-directed power management adds the energy usage pattern to the runtime context of a thread. Depending on the field of application we present two scenarios that benefit from applying energy usage patterns: Workstations with passive cooling on the one hand and battery-powered mobile systems on the other hand.Energy-aware scheduling evaluates the energy usage of each thread and throttles the system activity so that the scheduling goal is achieved. In workstations we throttle the system if the average energy use exceeds a predefined power-dissipation capacity. This makes a compact, noiseless and affordable system design possible that meets sporadic yet high demands in computing power. Nowadays, more and more mobile systems offer the features of reducible clock speed and dynamic voltage scaling. Energy-aware scheduling can employ these features to yield a longer battery life by slowing down low-priority threads while preserving a certain quality of service.

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The benefits of event: driven energy accounting in power-sensitive systems

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Published In

cover image ACM Conferences

EW 9: Proceedings of the 9th workshop on ACM SIGOPS European workshop: beyond the PC: new challenges for the operating system

September 2000

249 pages

ISBN:9781450373562

DOI:10.1145/566726

General Chair:
Marc Shapiro
Microsoft Research Limited, UK and INRIA Rocquencourt, France

Copyright © 2000 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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SIGOPS: ACM Special Interest Group on Operating Systems

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 17 September 2000

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EW00

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SIGOPS

EW00: 9th ACM SIGOPS European Workshop "Beyond the PC: New Challenges for the Operating System"

September 17 - 20, 2000

Kolding, Denmark

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Overall Acceptance Rate 37 of 37 submissions, 100%

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https://dl.acm.org/doi/10.1145/3698038.3698531
Zoni DGalimberti AFornaciari W(2023)A Survey on Run-time Power Monitors at the EdgeACM Computing Surveys10.1145/359304455:14s(1-33)Online publication date: 18-Apr-2023
https://dl.acm.org/doi/10.1145/3593044
Xie ZChinnery DHui-Ru Jiang I(2023)Efficient Runtime Power Modeling with On-Chip Power MetersProceedings of the 2023 International Symposium on Physical Design10.1145/3569052.3578927(168-174)Online publication date: 26-Mar-2023
https://dl.acm.org/doi/10.1145/3569052.3578927
Jay MOstapenco VLefevre LTrystram DOrgerie AFichel B(2023)An experimental comparison of software-based power meters: focus on CPU and GPU2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing (CCGrid)10.1109/CCGrid57682.2023.00020(106-118)Online publication date: May-2023
https://doi.org/10.1109/CCGrid57682.2023.00020
Xie ZLi SMa MChang CPan JChen YHu JMitra TYoung EXiong J(2022)DEEPProceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design10.1145/3508352.3549427(1-9)Online publication date: 30-Oct-2022
https://dl.acm.org/doi/10.1145/3508352.3549427
Mazzola SBenz TForsberg BBenini L(2022)A Data-Driven Approach to Lightweight DVFS-Aware Counter-Based Power Modeling for Heterogeneous PlatformsEmbedded Computer Systems: Architectures, Modeling, and Simulation10.1007/978-3-031-15074-6_22(346-361)Online publication date: 3-Jul-2022
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Xie ZXu XWalker MKnebel JPalaniswamy KHebert NHu JYang HChen YDas S(2021)APOLLO: An Automated Power Modeling Framework for Runtime Power Introspection in High-Volume Commercial MicroprocessorsMICRO-54: 54th Annual IEEE/ACM International Symposium on Microarchitecture10.1145/3466752.3480064(1-14)Online publication date: 18-Oct-2021
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Rottleuthner MSchmidt TWählisch M(2021)Sense Your PowerACM Transactions on Embedded Computing Systems10.1145/344164320:3(1-25)Online publication date: 31-May-2021
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Ahmed KBollen MAlvarez M(2021)A Review of Data Centers Energy Consumption and Reliability ModelingIEEE Access10.1109/ACCESS.2021.31250929(152536-152563)Online publication date: 2021
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Shahid AFahad MManumachu RLastovetsky A(2021)Energy Predictive Models of Computing: Theory, Practical Implications and Experimental Analysis on Multicore ProcessorsIEEE Access10.1109/ACCESS.2021.30751399(63149-63172)Online publication date: 2021
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