Body bias grain size exploration for a coarse grained reconfigurable accelerator

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

doi:10.1109/FPL.2016.7577346

Body bias grain size exploration for a coarse grained reconfigurable accelerator

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

Department of Information and Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

9 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 language	English
Title of host publication	FPL 2016 - 26th International Conference on Field-Programmable Logic and Applications
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9782839918442
DOIs	https://doi.org/10.1109/FPL.2016.7577346
Publication status	Published - 2016 Sep 26
Event	26th International Conference on Field-Programmable Logic and Applications, FPL 2016 - Lausanne, Switzerland Duration: 2016 Aug 29 → 2016 Sep 2

Other

Other	26th International Conference on Field-Programmable Logic and Applications, FPL 2016
Country	Switzerland
City	Lausanne
Period	16/8/29 → 16/9/2

ASJC Scopus subject areas

Computer Networks and Communications
Computer Science Applications
Control and Optimization

Access to Document

10.1109/FPL.2016.7577346

Fingerprint Dive into the research topics of 'Body bias grain size exploration for a coarse grained reconfigurable accelerator'. Together they form a unique fingerprint.

Cite this

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

FPL 2016 - 26th International Conference on Field-Programmable Logic and Applications. Institute of Electrical and Electronics Engineers Inc., 2016. 7577346.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Matsushita, Y, Okuhara, H, Masuyama, K, Fujita, Y, Kawano, R & Amano, H 2016, Body bias grain size exploration for a coarse grained reconfigurable accelerator. in FPL 2016 - 26th International Conference on Field-Programmable Logic and Applications., 7577346, Institute of Electrical and Electronics Engineers Inc., 26th International Conference on Field-Programmable Logic and Applications, FPL 2016, Lausanne, Switzerland, 16/8/29. https://doi.org/10.1109/FPL.2016.7577346

@inproceedings{9e1b4293b7ca405f8dbdc159b3c5b281,

title = "Body bias grain size exploration for a coarse grained reconfigurable accelerator",

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.",

author = "Yusuke Matsushita and Hayate Okuhara and Koichiro Masuyama and Yu Fujita and Ryuta Kawano and Hideharu Amano",

year = "2016",

month = sep,

day = "26",

doi = "10.1109/FPL.2016.7577346",

language = "English",

booktitle = "FPL 2016 - 26th International Conference on Field-Programmable Logic and Applications",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

note = "26th International Conference on Field-Programmable Logic and Applications, FPL 2016 ; Conference date: 29-08-2016 Through 02-09-2016",

}

TY - GEN

T1 - Body bias grain size exploration for a coarse grained reconfigurable accelerator

AU - Matsushita, Yusuke

AU - Okuhara, Hayate

AU - Masuyama, Koichiro

AU - Fujita, Yu

AU - Kawano, Ryuta

AU - Amano, Hideharu

PY - 2016/9/26

Y1 - 2016/9/26

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=84994810170&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84994810170&partnerID=8YFLogxK

U2 - 10.1109/FPL.2016.7577346

DO - 10.1109/FPL.2016.7577346

M3 - Conference contribution

AN - SCOPUS:84994810170

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

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 26th International Conference on Field-Programmable Logic and Applications, FPL 2016

Y2 - 29 August 2016 through 2 September 2016

ER -