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Power and energy reduction via pipeline balancing

Published: 01 May 2001 Publication History

Abstract

Minimizing power dissipation is an important design requirement for both portable and non-portable systems. In this work, we propose an architectural solution to the power problem that retains performance while reducing power. The technique, known as Pipeline Balancing (PLB), dynamically tunes the resources of a general purpose processor to the needs of the program by monitoring performance within each program. We analyze metrics for triggering PLB, and detail instruction queue design and energy savings based on an extension of the Alpha 21264 processor. Using a detailed simulator, we present component and full chip power and energy savings for single and multi-threaded execution. Results show an issue queue and execution unit power reduction of up to 23% and 13%, respectively, with an average performance loss of 1% to 2%.

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  • (2023)Instruction Profiling Based Predictive Throttling for Power and PerformanceIEEE Transactions on Computers10.1109/TC.2023.330607972:12(3532-3545)Online publication date: 1-Dec-2023
  • (2022)On-chip supply noise in multiprocessors: impact and clock gating inspired mitigation strategiesInternational Journal of Electronics10.1080/00207217.2022.2158493(1-20)Online publication date: 28-Dec-2022
  • (2019)Post-silicon CPU adaptation made practical using machine learningProceedings of the 46th International Symposium on Computer Architecture10.1145/3307650.3322267(14-26)Online publication date: 22-Jun-2019
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cover image ACM Conferences
ISCA '01: Proceedings of the 28th annual international symposium on Computer architecture
June 2001
289 pages
ISBN:0769511627
DOI:10.1145/379240
  • cover image ACM SIGARCH Computer Architecture News
    ACM SIGARCH Computer Architecture News  Volume 29, Issue 2
    Special Issue: Proceedings of the 28th annual international symposium on Computer architecture (ISCA '01)
    May 2001
    262 pages
    ISSN:0163-5964
    DOI:10.1145/384285
    Issue’s Table of Contents

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Association for Computing Machinery

New York, NY, United States

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Published: 01 May 2001

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ISCA '01 Paper Acceptance Rate 24 of 163 submissions, 15%;
Overall Acceptance Rate 543 of 3,203 submissions, 17%

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Cited By

View all
  • (2023)Instruction Profiling Based Predictive Throttling for Power and PerformanceIEEE Transactions on Computers10.1109/TC.2023.330607972:12(3532-3545)Online publication date: 1-Dec-2023
  • (2022)On-chip supply noise in multiprocessors: impact and clock gating inspired mitigation strategiesInternational Journal of Electronics10.1080/00207217.2022.2158493(1-20)Online publication date: 28-Dec-2022
  • (2019)Post-silicon CPU adaptation made practical using machine learningProceedings of the 46th International Symposium on Computer Architecture10.1145/3307650.3322267(14-26)Online publication date: 22-Jun-2019
  • (2016)μC-StatesProceedings of the 2016 International Conference on Parallel Architectures and Compilation10.1145/2967938.2967941(17-30)Online publication date: 11-Sep-2016
  • (2016)Clock gating methodologies and toolsInternational Journal of Circuit Theory and Applications10.1002/cta.210744:4(798-816)Online publication date: 1-Apr-2016
  • (2015)ChryssoProceedings of the 12th ACM International Conference on Computing Frontiers10.1145/2742854.2742885(1-8)Online publication date: 6-May-2015
  • (2015)Micro-architectural simulation of embedded core heterogeneity with gem5 and McPATProceedings of the 2015 Workshop on Rapid Simulation and Performance Evaluation: Methods and Tools10.1145/2693433.2693440(1-6)Online publication date: 19-Jan-2015
  • (2014)A Novel Compiler Assisted Approach for Issue Queue Power ReductionApplied Mechanics and Materials10.4028/www.scientific.net/AMM.543-547.1981543-547(1981-1986)Online publication date: Mar-2014
  • (2014)Heterogeneous microarchitectures trump voltage scaling for low-power coresProceedings of the 23rd international conference on Parallel architectures and compilation10.1145/2628071.2628078(237-250)Online publication date: 24-Aug-2014
  • (2014)Adaptive front-end throttling for superscalar processorsProceedings of the 2014 international symposium on Low power electronics and design10.1145/2627369.2627633(21-26)Online publication date: 11-Aug-2014
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