Body bias domain partitioning size exploration for a coarse grained reconfigurable accelerator

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

Research output: Contribution to journalArticle

Abstract

Body biasing can be used to control the leakage power and performance by changing the threshold voltage of transistors after fabrication. Especially, a new process called Silicon-On-Thin Box (SOTB) CMOS can control their balance widely. When it is applied to a Coarse Grained Reconfigurable Array (CGRA), the leakage power can be much reduced by precise bias control with small domain size including a small number of PEs. On the other hand, the area overhead for separating power domain and delivering a lot of wires for body bias voltage supply increases. This paper explores the grain of domain size of an energy efficient CGRA 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 2x1 PEs achieved about 40% power reduction with a 6% area overhead. It has appeared that a combination of three body bias voltages; zero bias, weak reverse bias and strong reverse bias can achieve the optimal leakage reduction and area overhead balance in most cases.

Original languageEnglish
Pages (from-to)2828-2836
Number of pages9
JournalIEICE Transactions on Information and Systems
VolumeE100D
Issue number12
DOIs
Publication statusPublished - 2017 Dec 1

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Particle accelerators
Bias voltage
Threshold voltage
Transistors
Genetic algorithms
Wire
Fabrication
Silicon

Keywords

  • Body bias
  • CGRA
  • Cool mega array
  • Power reduction

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering
  • Artificial Intelligence

Cite this

Body bias domain partitioning size exploration for a coarse grained reconfigurable accelerator. / Matsushita, Yusuke; Okuhara, Hayate; Masuyama, Koichiro; Fujita, Yu; Kawano, Ryuta; Amano, Hideharu.

In: IEICE Transactions on Information and Systems, Vol. E100D, No. 12, 01.12.2017, p. 2828-2836.

Research output: Contribution to journalArticle

Matsushita, Yusuke ; Okuhara, Hayate ; Masuyama, Koichiro ; Fujita, Yu ; Kawano, Ryuta ; Amano, Hideharu. / Body bias domain partitioning size exploration for a coarse grained reconfigurable accelerator. In: IEICE Transactions on Information and Systems. 2017 ; Vol. E100D, No. 12. pp. 2828-2836.
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