research-article

Dynamic tuning of configurable architectures: the AWW online algorithm

Authors:

Frank VahidAuthors Info & Claims

CODES+ISSS '08: Proceedings of the 6th IEEE/ACM/IFIP international conference on Hardware/Software codesign and system synthesis

Pages 97 - 102

https://doi.org/10.1145/1450135.1450158

Published: 19 October 2008 Publication History

Abstract

Architectures with software-writable parameters, or configurable architectures, enable runtime reconfiguration of computing platforms to the applications they execute. Such dynamic tuning can improve application performance, as well as energy. However, reconfiguring incurs a temporary performance cost. Thus, online algorithms are needed that decide when to reconfigure and which configuration to choose such that overall performance is optimized. We introduce the adaptive weighted window (AWW) algorithm, and compare with several other algorithms, including algorithms previously developed by the online algorithm community. We describe experiments showing that AWW results are within 4% of the offline optimal on average. AWW outperforms the other algorithms, and is robust across three datasets and across three categories of application sequences too. AWW improves a non-dynamic approach on average by 6%, and by up to 30% in low-reconfiguration-time situations.

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Cited By

Khan MShafique MHenkel JKhan MShafique MHenkel J(2017)Background and Related WorkEnergy Efficient Embedded Video Processing Systems10.1007/978-3-319-61455-7_2(25-65)Online publication date: 19-Sep-2017
https://doi.org/10.1007/978-3-319-61455-7_2
Khan MShafique MHenkel JNebel WAtienza D(2015)Power-efficient accelerator allocation in adaptive dark silicon many-core systemsProceedings of the 2015 Design, Automation & Test in Europe Conference & Exhibition10.5555/2755753.2757025(916-919)Online publication date: 9-Mar-2015
https://dl.acm.org/doi/10.5555/2755753.2757025
Zang WGordon-Ross A(2013)A survey on cache tuning from a power/energy perspectiveACM Computing Surveys10.1145/2480741.248074945:3(1-49)Online publication date: 3-Jul-2013
https://dl.acm.org/doi/10.1145/2480741.2480749
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cover image ACM Conferences

CODES+ISSS '08: Proceedings of the 6th IEEE/ACM/IFIP international conference on Hardware/Software codesign and system synthesis

October 2008

288 pages

ISBN:9781605584706

DOI:10.1145/1450135

Program Chairs:
Catherine Gebotys
University of Waterloo, Canada
,
Grant Martin
Tensilica, USA

Copyright © 2008 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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Published: 19 October 2008

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October 19 - 24, 2008

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CODES+ISSS '08 Paper Acceptance Rate 44 of 143 submissions, 31%;

Overall Acceptance Rate 280 of 864 submissions, 32%

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Cited By

Khan MShafique MHenkel JKhan MShafique MHenkel J(2017)Background and Related WorkEnergy Efficient Embedded Video Processing Systems10.1007/978-3-319-61455-7_2(25-65)Online publication date: 19-Sep-2017
https://doi.org/10.1007/978-3-319-61455-7_2
Khan MShafique MHenkel JNebel WAtienza D(2015)Power-efficient accelerator allocation in adaptive dark silicon many-core systemsProceedings of the 2015 Design, Automation & Test in Europe Conference & Exhibition10.5555/2755753.2757025(916-919)Online publication date: 9-Mar-2015
https://dl.acm.org/doi/10.5555/2755753.2757025
Zang WGordon-Ross A(2013)A survey on cache tuning from a power/energy perspectiveACM Computing Surveys10.1145/2480741.248074945:3(1-49)Online publication date: 3-Jul-2013
https://dl.acm.org/doi/10.1145/2480741.2480749
Bengueddach ASenouci BNiar SBeldjilali B(2013)Two-level caches tuning technique for energy consumption in reconfigurable embedded MPSoCJournal of Systems Architecture: the EUROMICRO Journal10.1016/j.sysarc.2013.05.01859:8(656-666)Online publication date: 1-Sep-2013
https://dl.acm.org/doi/10.1016/j.sysarc.2013.05.018

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