Article

Joint local and global hardware adaptations for energy

Authors:

Ruchira Sasanka,

Christopher J. Hughes,

Sarita V. AdveAuthors Info & Claims

ASPLOS X: Proceedings of the 10th international conference on Architectural support for programming languages and operating systems

Pages 144 - 155

https://doi.org/10.1145/605397.605413

Published: 01 October 2002 Publication History

Abstract

This work concerns algorithms to control energy-driven architecture adaptations for multimedia applications, without and with dynamic voltage scaling (DVS). We identify a broad design space for adaptation control algorithms based on two attributes: (1) when to adapt or temporal granularity and (2) what structures to adapt or spatial granularity. For each attribute, adaptation may be global or local. Our previous work developed a temporally and spatially global algorithm. It invokes adaptation at the granularity of a full frame of a multimedia application (temporally global) and considers the entire hardware configuration at a time (spatially global). It exploits inter-frame execution time variability, slowing computation just enough to eliminate idle time before the real-time deadline.This paper explores temporally and spatially local algorithms and their integration with the previous global algorithm. The local algorithms invoke architectural adaptation within an application frame to exploit intra-frame execution variability, and attempt to save energy without affecting execution time. We consider local algorithms previously studied for non-real-time applications as well as propose new algorithms. We find that, for systems without and with DVS, the local algorithms are effective in saving energy for multimedia applications, but the new integrated global and local algorithm is best for the systems and applications studied.

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Nejat MManivannan MPericàs MStenström P(2022)Cooperative Slack Management: Saving Energy of Multicore Processors by Trading Performance Slack Between QoS-Constrained ApplicationsACM Transactions on Architecture and Code Optimization10.1145/350555919:2(1-27)Online publication date: 31-Jan-2022
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Nejat MManivannan MPericas MStenstrom P(2020)Coordinated Management of Processor Configuration and Cache Partitioning to Optimize Energy under QoS Constraints2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS)10.1109/IPDPS47924.2020.00067(590-601)Online publication date: May-2020
https://doi.org/10.1109/IPDPS47924.2020.00067
Zhang HHoffmann HTaufer MBalaji PPeña A(2019)PoDDProceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis10.1145/3295500.3356174(1-23)Online publication date: 17-Nov-2019
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Joint local and global hardware adaptations for energy
1. General and reference
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Recommendations

Joint local and global hardware adaptations for energy

This work concerns algorithms to control energy-driven architecture adaptations for multimedia applications, without and with dynamic voltage scaling (DVS). We identify a broad design space for adaptation control algorithms based on two attributes: (1) ...
Joint local and global hardware adaptations for energy

This work concerns algorithms to control energy-driven architecture adaptations for multimedia applications, without and with dynamic voltage scaling (DVS). We identify a broad design space for adaptation control algorithms based on two attributes: (1) ...
Joint local and global hardware adaptations for energy
Special Issue: Proceedings of the 10th annual conference on Architectural Support for Programming Languages and Operating Systems

This work concerns algorithms to control energy-driven architecture adaptations for multimedia applications, without and with dynamic voltage scaling (DVS). We identify a broad design space for adaptation control algorithms based on two attributes: (1) ...

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cover image ACM Conferences

ASPLOS X: Proceedings of the 10th international conference on Architectural support for programming languages and operating systems

October 2002

318 pages

ISBN:1581135742

DOI:10.1145/605397

Conference Chair:
Kourosh Gharachorloo
Compaq Western Research Lab
,
Program Chair:
David A. Wood

ACM SIGOPS Operating Systems Review Volume 36, Issue 5
December 2002
296 pages
ISSN:0163-5980
DOI:10.1145/635508
Issue’s Table of Contents
ACM SIGARCH Computer Architecture News Volume 30, Issue 5
Special Issue: Proceedings of the 10th annual conference on Architectural Support for Programming Languages and Operating Systems
December 2002
296 pages
ISSN:0163-5964
DOI:10.1145/635506
Issue’s Table of Contents
ACM SIGPLAN Notices Volume 37, Issue 10
October 2002
296 pages
ISSN:0362-1340
EISSN:1558-1160
DOI:10.1145/605432
Issue’s Table of Contents

Copyright © 2002 ACM.

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Published: 01 October 2002

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ASPLOS02: Tenth International Conference on Architectural Support for Programming Languages and Operating Systems

October 5 - 9, 2002

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ASPLOS X Paper Acceptance Rate 24 of 175 submissions, 14%;

Overall Acceptance Rate 535 of 2,713 submissions, 20%

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Cited By

Nejat MManivannan MPericàs MStenström P(2022)Cooperative Slack Management: Saving Energy of Multicore Processors by Trading Performance Slack Between QoS-Constrained ApplicationsACM Transactions on Architecture and Code Optimization10.1145/350555919:2(1-27)Online publication date: 31-Jan-2022
https://dl.acm.org/doi/10.1145/3505559
Nejat MManivannan MPericas MStenstrom P(2020)Coordinated Management of Processor Configuration and Cache Partitioning to Optimize Energy under QoS Constraints2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS)10.1109/IPDPS47924.2020.00067(590-601)Online publication date: May-2020
https://doi.org/10.1109/IPDPS47924.2020.00067
Zhang HHoffmann HTaufer MBalaji PPeña A(2019)PoDDProceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis10.1145/3295500.3356174(1-23)Online publication date: 17-Nov-2019
https://dl.acm.org/doi/10.1145/3295500.3356174
Zhang HHoffmann H(2016)Maximizing Performance Under a Power CapACM SIGARCH Computer Architecture News10.1145/2980024.287237544:2(545-559)Online publication date: 25-Mar-2016
https://dl.acm.org/doi/10.1145/2980024.2872375
Zhang HHoffmann H(2016)Maximizing Performance Under a Power CapACM SIGPLAN Notices10.1145/2954679.287237551:4(545-559)Online publication date: 25-Mar-2016
https://dl.acm.org/doi/10.1145/2954679.2872375
Cebrián JSánchez DAragón JKaxiras S(2014)Managing power constraints in a single-core scenario through power tokensThe Journal of Supercomputing10.1007/s11227-013-1044-268:1(414-442)Online publication date: 1-Apr-2014
https://dl.acm.org/doi/10.1007/s11227-013-1044-2
Wang HKoren IKrishna C(2012)Runtime architecture adaptation for energy management in embedded real-time systemsProceedings of the 2012 International Green Computing Conference (IGCC)10.1109/IGCC.2012.6322272(1-9)Online publication date: 4-Jun-2012
https://dl.acm.org/doi/10.1109/IGCC.2012.6322272
Cebrián JSánchez DAragón JKaxiras S(2012)Efficient inter-core power and thermal balancing for multicore processorsComputing10.1007/s00607-012-0236-695:7(537-566)Online publication date: 15-Nov-2012
https://doi.org/10.1007/s00607-012-0236-6
Jayaseelan RMitra TRoychowdhury J(2009)A hybrid local-global approach for multi-core thermal managementProceedings of the 2009 International Conference on Computer-Aided Design10.1145/1687399.1687459(314-320)Online publication date: 2-Nov-2009
https://dl.acm.org/doi/10.1145/1687399.1687459
Gheorghita SPalkovic MHamers JVandecappelle AMamagkakis SBasten TEeckhout LCorporaal HCatthoor FVandeputte FBosschere K(2009)System-scenario-based design of dynamic embedded systemsACM Transactions on Design Automation of Electronic Systems10.1145/1455229.145523214:1(1-45)Online publication date: 23-Jan-2009
https://dl.acm.org/doi/10.1145/1455229.1455232
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