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Power-Efficient Software: Power-manageable hardware can help save energy, but what can software developers do to address the problem?

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Eric SaxeAuthors Info & Claims

Queue, Volume 8, Issue 1

Pages 10 - 17

https://doi.org/10.1145/1698223.1698225

Published: 01 January 2010 Publication History

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Abstract

The rate at which power-management features have evolved is nothing short of amazing. Today almost every size and class of computer system, from the smallest sensors and handheld devices to the "big iron" servers in data centers, offers a myriad of features for reducing, metering, and capping power consumption. Without these features, fan noise would dominate the office ambience, and untethered laptops would remain usable for only a few short hours (and then only if one could handle the heat), while data-center power and cooling costs and capacity would become unmanageable.

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Prokhorenko VBabar M(2024)Offloaded Data Processing Energy Efficiency EvaluationInformatica10.15388/24-INFOR567(649-669)Online publication date: 24-Jul-2024
https://doi.org/10.15388/24-INFOR567
Béziers la Fosse TTisi MMottu JSunyé GLämmel RTratt Lde Lara J(2020)Annotating executable DSLs with energy estimation formulasProceedings of the 13th ACM SIGPLAN International Conference on Software Language Engineering10.1145/3426425.3426930(22-38)Online publication date: 15-Nov-2020
https://doi.org/10.1145/3426425.3426930
Fosse TTisi MBousse EMottu JSunyé GPretschner AVoss SBurgueño L(2019)Towards platform specific energy estimation for executable domain-specific modeling languagesProceedings of the 22nd International Conference on Model Driven Engineering Languages and Systems10.1109/MODELS-C.2019.00048(314-317)Online publication date: 15-Sep-2019
https://dl.acm.org/doi/10.1109/MODELS-C.2019.00048
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Index Terms

Power-Efficient Software: Power-manageable hardware can help save energy, but what can software developers do to address the problem?
1. General and reference
  1. Cross-computing tools and techniques
    1. Performance

Index terms have been assigned to the content through auto-classification.

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Queue Volume 8, Issue 1

Power Management

January 2010

24 pages

ISSN:1542-7730

EISSN:1542-7749

DOI:10.1145/1698223

Issue’s Table of Contents

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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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 January 2010

Published in QUEUE Volume 8, Issue 1

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Prokhorenko VBabar M(2024)Offloaded Data Processing Energy Efficiency EvaluationInformatica10.15388/24-INFOR567(649-669)Online publication date: 24-Jul-2024
https://doi.org/10.15388/24-INFOR567
Béziers la Fosse TTisi MMottu JSunyé GLämmel RTratt Lde Lara J(2020)Annotating executable DSLs with energy estimation formulasProceedings of the 13th ACM SIGPLAN International Conference on Software Language Engineering10.1145/3426425.3426930(22-38)Online publication date: 15-Nov-2020
https://doi.org/10.1145/3426425.3426930
Fosse TTisi MBousse EMottu JSunyé GPretschner AVoss SBurgueño L(2019)Towards platform specific energy estimation for executable domain-specific modeling languagesProceedings of the 22nd International Conference on Model Driven Engineering Languages and Systems10.1109/MODELS-C.2019.00048(314-317)Online publication date: 15-Sep-2019
https://dl.acm.org/doi/10.1109/MODELS-C.2019.00048
Soundararajan VSchnee J(2017)Sustainability as a first-class metric for developers and end-usersACM SIGOPS Operating Systems Review10.1145/3139645.313965551:1(60-66)Online publication date: 11-Sep-2017
https://dl.acm.org/doi/10.1145/3139645.3139655
Curry EDonnellan B(2014)Sustainable ITComputing Handbook, Third Edition10.1201/b16768-58(50-1-50-20)Online publication date: May-2014
https://doi.org/10.1201/b16768-58
Mastelic TOleksiak AClaussen HBrandic IPierson JVasilakos A(2014)Cloud ComputingACM Computing Surveys10.1145/265620447:2(1-36)Online publication date: 19-Dec-2014
https://dl.acm.org/doi/10.1145/2656204
Catalán SDomínguez JMayo ROrtí E(2014)Analyzing the Energy Efficiency of the Memory Subsystem in Multicore ProcessorsProceedings of the 2014 IEEE International Symposium on Parallel and Distributed Processing with Applications10.1109/ISPA.2014.11(10-17)Online publication date: 26-Aug-2014
https://dl.acm.org/doi/10.1109/ISPA.2014.11
Jelschen JGottschalk MJosefiok MPitu CWinter A(2012)Towards Applying Reengineering Services to Energy-Efficient ApplicationsProceedings of the 2012 16th European Conference on Software Maintenance and Reengineering10.1109/CSMR.2012.43(353-358)Online publication date: 27-Mar-2012
https://dl.acm.org/doi/10.1109/CSMR.2012.43
Siegmund NRosenmüller MApel S(2010)Automating energy optimization with featuresProceedings of the 2nd International Workshop on Feature-Oriented Software Development10.1145/1868688.1868690(2-9)Online publication date: 10-Oct-2010
https://dl.acm.org/doi/10.1145/1868688.1868690

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Software power optimization: analysis and optimization for energy-efficient software

Efficient DVFS for low power HEVC software decoder

Software Power Optimizations In An Embedded System

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