Dynamic VDD switching technique and mapping optimization in dynamically reconfigurable processor for efficient energy reduction

Tatsuya Yamamoto, Kazuei Hironaka, Yuki Hayakawa, Masayuki Kimura, Hideharu Amano, Kimiyoshi Usami

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

9 Citations (Scopus)

Abstract

This paper describes a dynamic VDD switching technique to reduce energy dissipation of Dynamically Reconfigurable Processors. Either high or low supply is dynamically selected at each PE at the context-by-context basis. We designed a part of a PE array and applied this technique. A test chip fabricated in 65nm technology operated successfully. Detailed simulations revealed that energy reduction is hindered by energy overhead due to supply switching when we use even lower VDD. We propose a mapping optimization algorithm "PFCM" to minimize the overhead. PFCM reduced energy overhead by 90.8% and thereby the dynamic VDD switching technique reduced energy dissipation by up to 12.5% when running sepia filter, alpha blender and Laplacian filter programs.

Original languageEnglish
Title of host publicationReconfigurable Computing
Subtitle of host publicationArchitectures, Tools and Applications - 7th International Symposium, ARC 2011, Proceedings
Pages230-241
Number of pages12
DOIs
Publication statusPublished - 2011
Event7th International Symposium on Applied Reconfigurable Computing, ARC 2011 - Belfast, United Kingdom
Duration: 2011 Mar 232011 Mar 25

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6578 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference7th International Symposium on Applied Reconfigurable Computing, ARC 2011
Country/TerritoryUnited Kingdom
CityBelfast
Period11/3/2311/3/25

Keywords

  • Dynamic V Switching
  • Dynamically Reconfigurable Processor
  • Mapping Optimization
  • Power Reduction

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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