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Rotation scheduling and voltage assignment to minimize energy for SoC

  • Meikang Qiu*
  • , Laurence T. Yang
  • , Edwin H.M. Sha
  • *Corresponding author for this work
  • University of Kentucky
  • Saint Francis Xavier University
  • University of Texas at Dallas

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Low energy consumption is a critical issue in embedded systems design. As the technology feature sizes of SoC (Systems on Chip) become smaller and smaller, the percentage of leakage power consumption in total power consumption continues to grow. Traditional Dynamic Voltage Scaling (DVS) fail to accurately address the impact of scaling on system power consumption as the leakage power increases exponentially. The combination of DVS and Adaptive Body Biasing (ABB) is an effective technique to jointly optimize dynamic and leakage energy dissipation. In this paper, we propose an optimal soft real-time Rotation scheduling and voltage assignment algorithm, RSVAME (Rotation Scheduling and Voltage Assignment to Minimize Energy), to minimize both dynamic and leakage energy via DVS and ABB. Voltage transition overhead has been considered in our approach. We conduct experiments on a set of DSP benchmarks based on the power model of 70 nm technology. The experimental results show that our approach achieves significant energy saving than that of ILP (Integer Linear Programming) approach.

Original languageEnglish
Title of host publicationProceedings - 12th IEEE International Conference on Computational Science and Engineering, CSE 2009 - 7th IEEE/IFIP International Conference on Embedded and Ubiquitous Computing, EUC 2009
Pages48-55
Number of pages8
DOIs
StatePublished - 2009
Externally publishedYes
Event7th IEEE/IFIP International Conference on Embedded and Ubiquitous Computing, EUC 2009 - Vancouver, BC, Canada
Duration: 29 Aug 200931 Aug 2009

Publication series

NameProceedings - 12th IEEE International Conference on Computational Science and Engineering, CSE 2009
Volume2

Conference

Conference7th IEEE/IFIP International Conference on Embedded and Ubiquitous Computing, EUC 2009
Country/TerritoryCanada
CityVancouver, BC
Period29/08/0931/08/09

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

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