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

13 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 Sept 26
Event	26th International Conference on Field-Programmable Logic and Applications, FPL 2016 - Lausanne, Switzerland Duration: 2016 Aug 29 → 2016 Sept 2

Publication series

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

Other

Other	26th International Conference on Field-Programmable Logic and Applications, FPL 2016
Country/Territory	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

Cite this

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 Article 7577346 (FPL 2016 - 26th International Conference on Field-Programmable Logic and Applications). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/FPL.2016.7577346

Body bias grain size exploration for a coarse grained reconfigurable accelerator. / Matsushita, Yusuke; Okuhara, Hayate; Masuyama, Koichiro et al.
FPL 2016 - 26th International Conference on Field-Programmable Logic and Applications. Institute of Electrical and Electronics Engineers Inc., 2016. 7577346 (FPL 2016 - 26th International Conference on Field-Programmable Logic and Applications).

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

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

Matsushita, Yusuke ; Okuhara, Hayate ; Masuyama, Koichiro et al. / Body bias grain size exploration for a coarse grained reconfigurable accelerator. FPL 2016 - 26th International Conference on Field-Programmable Logic and Applications. Institute of Electrical and Electronics Engineers Inc., 2016. (FPL 2016 - 26th International Conference on Field-Programmable Logic and Applications).

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Body bias grain size exploration for a coarse grained reconfigurable accelerator

Abstract

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