Energy-efficient phase-based cache tuning for multimedia applications in embedded systems

Tosiron Adegbija, Ann Gordon-Ross

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

The proliferation of multimedia applications in embedded systems has led to a research focus on optimizing the energy consumption of these applications without significantly degrading the execution time and adhering to data processing deadline constraints. To maximize optimization potential, phase-based tuning methodologies specialize system configurations to different phases of application execution with respect to design constraints. Multimedia applications are ideal candidates for phase-based tuning since these applications exhibit variable execution characteristics. In this paper, we propose a phase-based tuning methodology for multimedia applications that leverages application characteristics to determine the best cache configurations for different phases of execution. Results reveal that phase-based tuning for multimedia applications determines cache configurations within 1% of the optimal on average and yields an average energy delay product savings of 29%.

Original languageEnglish (US)
Title of host publication2014 IEEE 11th Consumer Communications and Networking Conference, CCNC 2014
PublisherIEEE Computer Society
Pages89-94
Number of pages6
ISBN (Print)9781479923557
DOIs
StatePublished - 2014
Externally publishedYes
Event2014 IEEE 11th Consumer Communications and Networking Conference, CCNC 2014 - Las Vegas, NV, United States
Duration: Jan 10 2014Jan 13 2014

Publication series

Name2014 IEEE 11th Consumer Communications and Networking Conference, CCNC 2014

Conference

Conference2014 IEEE 11th Consumer Communications and Networking Conference, CCNC 2014
Country/TerritoryUnited States
CityLas Vegas, NV
Period1/10/141/13/14

Keywords

  • Cache tuning
  • Dynamic reconfiguration
  • Energy delay product (EDP) reduction
  • Multimedia applications
  • Phase-based tuning

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