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NRG-loops: adjusting power from within applications

Authors:

Melanie Kambadur,

Martha A. KimAuthors Info & Claims

CGO '16: Proceedings of the 2016 International Symposium on Code Generation and Optimization

Pages 206 - 215

https://doi.org/10.1145/2854038.2854045

Published: 29 February 2016 Publication History

Abstract

NRG-Loops are source-level abstractions that allow an application to dynamically manage its power and energy through adjustments to functionality, performance, and accuracy. The adjustments, which come in the form of truncated, adapted, or perforated loops, are conditionally enabled as runtime power and energy constraints dictate. NRG-Loops are portable across different hardware platforms and operating systems and are complementary to existing system-level efficiency techniques, such as DVFS and idle states. Using a prototype C library supported by commodity hardware energy meters (and with no modifications to the compiler or operating system), this paper demonstrates four NRG-Loop applications that in 2-6 lines of source code changes can save up to 55% power and 90% energy, resulting in up to 12X better energy efficiency than system-level techniques

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Cited By

Maier DMammeri NCosenza BJuurlink B(2019)Approximating Memory-bound Applications on Mobile GPUs2019 International Conference on High Performance Computing & Simulation (HPCS)10.1109/HPCS48598.2019.9188051(329-335)Online publication date: Jul-2019
https://doi.org/10.1109/HPCS48598.2019.9188051
Colin ARuppel ELucia B(2018)A Reconfigurable Energy Storage Architecture for Energy-harvesting DevicesACM SIGPLAN Notices10.1145/3296957.317321053:2(767-781)Online publication date: 19-Mar-2018
https://dl.acm.org/doi/10.1145/3296957.3173210
Maier DCosenza BJuurlink B(2018)Local memory-aware kernel perforationProceedings of the 2018 International Symposium on Code Generation and Optimization - CGO 201810.1145/3179541.3168814(278-287)Online publication date: 2018
https://doi.org/10.1145/3179541.3168814
Show More Cited By

Index Terms

NRG-loops: adjusting power from within applications
1. Software and its engineering
  1. Software notations and tools
    1. General programming languages
      1. Language types

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cover image ACM Conferences

CGO '16: Proceedings of the 2016 International Symposium on Code Generation and Optimization

February 2016

283 pages

ISBN:9781450337786

DOI:10.1145/2854038

General Chair:
Bjoern Franke
University of Edinburgh, UK
,
Program Chairs:
Youfeng Wu
Intel, USA
,
Fabrice Rastello
Inria, France

Copyright © 2016 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 the author(s) 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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Publication History

Published: 29 February 2016

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Funding Sources

National Science Foundation
Darpa Perfect

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CGO '16

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CGO '16: 14th Annual IEEE/ACM International Symposium on Code Generation and Optimization

March 12 - 18, 2016

Barcelona, Spain

Acceptance Rates

CGO '16 Paper Acceptance Rate 25 of 108 submissions, 23%;

Overall Acceptance Rate 312 of 1,061 submissions, 29%

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Cited By

Maier DMammeri NCosenza BJuurlink B(2019)Approximating Memory-bound Applications on Mobile GPUs2019 International Conference on High Performance Computing & Simulation (HPCS)10.1109/HPCS48598.2019.9188051(329-335)Online publication date: Jul-2019
https://doi.org/10.1109/HPCS48598.2019.9188051
Colin ARuppel ELucia B(2018)A Reconfigurable Energy Storage Architecture for Energy-harvesting DevicesACM SIGPLAN Notices10.1145/3296957.317321053:2(767-781)Online publication date: 19-Mar-2018
https://dl.acm.org/doi/10.1145/3296957.3173210
Maier DCosenza BJuurlink B(2018)Local memory-aware kernel perforationProceedings of the 2018 International Symposium on Code Generation and Optimization - CGO 201810.1145/3179541.3168814(278-287)Online publication date: 2018
https://doi.org/10.1145/3179541.3168814
Colin ARuppel ELucia BShen XTuck JBianchini RSarkar V(2018)A Reconfigurable Energy Storage Architecture for Energy-harvesting DevicesProceedings of the Twenty-Third International Conference on Architectural Support for Programming Languages and Operating Systems10.1145/3173162.3173210(767-781)Online publication date: 19-Mar-2018
https://dl.acm.org/doi/10.1145/3173162.3173210
Maier DCosenza BJuurlink BKnoop JSchordan MJohnson TO'Boyle M(2018)Local memory-aware kernel perforationProceedings of the 2018 International Symposium on Code Generation and Optimization10.1145/3168814(278-287)Online publication date: 24-Feb-2018
https://dl.acm.org/doi/10.1145/3168814
Canino ALiu Y(2017)Proactive and adaptive energy-aware programming with mixed typecheckingACM SIGPLAN Notices10.1145/3140587.306235652:6(217-232)Online publication date: 14-Jun-2017
https://dl.acm.org/doi/10.1145/3140587.3062356
Shrivastava RNandivada V(2017)Energy-Efficient Compilation of Irregular Task-Parallel LoopsACM Transactions on Architecture and Code Optimization10.1145/313606314:4(1-29)Online publication date: 14-Nov-2017
https://dl.acm.org/doi/10.1145/3136063
Canino ALiu YCohen AVechev M(2017)Proactive and adaptive energy-aware programming with mixed typecheckingProceedings of the 38th ACM SIGPLAN Conference on Programming Language Design and Implementation10.1145/3062341.3062356(217-232)Online publication date: 14-Jun-2017
https://dl.acm.org/doi/10.1145/3062341.3062356

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