Body bias grain size exploration for a coarse grained reconfigurable accelerator

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

研究成果: Conference contribution

9 被引用数 (Scopus)

抄録

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.

本文言語English
ホスト出版物のタイトルFPL 2016 - 26th International Conference on Field-Programmable Logic and Applications
出版社Institute of Electrical and Electronics Engineers Inc.
ISBN(電子版)9782839918442
DOI
出版ステータスPublished - 2016 9 26
イベント26th International Conference on Field-Programmable Logic and Applications, FPL 2016 - Lausanne, Switzerland
継続期間: 2016 8 292016 9 2

Other

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

ASJC Scopus subject areas

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

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