Body bias grain size exploration for a coarse grained reconfigurable accelerator

Yusuke Matsushita, Hayate Okuhara, Koichiro Masuyama, Yu Fujita, Ryuta Kawano, Hideharu Amano

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

10 Citations (Scopus)

Abstract

This paper explores the grain of domain size of an energy efficient coarse grained reconfigurable array called CMA (Cool Mega Array). By using Genetic Algorithm based body bias assignment method, the leakage reduction of various grain size was evaluated. As a result, a domain with 2×1 PEs achieved about 40% power reduction with a 6% area overhead.

Original languageEnglish
Title of host publicationFPL 2016 - 26th International Conference on Field-Programmable Logic and Applications
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9782839918442
DOIs
Publication statusPublished - 2016 Sep 26
Event26th International Conference on Field-Programmable Logic and Applications, FPL 2016 - Lausanne, Switzerland
Duration: 2016 Aug 292016 Sep 2

Publication series

NameFPL 2016 - 26th International Conference on Field-Programmable Logic and Applications

Other

Other26th International Conference on Field-Programmable Logic and Applications, FPL 2016
Country/TerritorySwitzerland
CityLausanne
Period16/8/2916/9/2

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Control and Optimization

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