Body Bias Control on a CGRA based on Convex Optimization

Takuya Kojima; Hayate Okuhara; Masaaki Kondo; Hideharu Amano

doi:10.1109/COOLCHIPS54332.2022.9772708

Body Bias Control on a CGRA based on Convex Optimization

Takuya Kojima, Hayate Okuhara, Masaaki Kondo, Hideharu Amano

Department of Information and Computer Science

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

Abstract

Body biasing is one of the critical techniques to realize more energy-efficient computing with reconfigurable devices, such as Coarse-Grained Reconfigurable Architectures (CGRAs). Its benefit depends on the control granularity, whereas fine-grained control makes it challenging to find the best body bias voltage for each domain due to the complexity of the optimization problem. This work reformulates the optimization problem and introduces continuous relaxation to solve it faster than previous work. Experimental result shows the proposed method can solve the problem within 0.5 sec for all benchmarks in any conditions and demonstrates up to 5.65x speed-up compared to the previous method with negligible loss of accuracy.

Original language	English
Title of host publication	25th IEEE Symposium on Low-Power and High-Speed Chips and Systems, COOL Chips 2022 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665419895
DOIs	https://doi.org/10.1109/COOLCHIPS54332.2022.9772708
Publication status	Published - 2022
Event	25th IEEE Symposium on Low-Power and High-Speed Chips and Systems, COOL Chips 2022 - Tokyo, Japan Duration: 2022 Apr 20 → 2022 Apr 22

Publication series

Name	25th IEEE Symposium on Low-Power and High-Speed Chips and Systems, COOL Chips 2022 - Proceedings

Conference

Conference	25th IEEE Symposium on Low-Power and High-Speed Chips and Systems, COOL Chips 2022
Country/Territory	Japan
City	Tokyo
Period	22/4/20 → 22/4/22

ASJC Scopus subject areas

Hardware and Architecture
Energy Engineering and Power Technology
Electrical and Electronic Engineering
Artificial Intelligence
Computer Networks and Communications

Access to Document

10.1109/COOLCHIPS54332.2022.9772708

Cite this

Kojima, T., Okuhara, H., Kondo, M., & Amano, H. (2022). Body Bias Control on a CGRA based on Convex Optimization. In 25th IEEE Symposium on Low-Power and High-Speed Chips and Systems, COOL Chips 2022 - Proceedings (25th IEEE Symposium on Low-Power and High-Speed Chips and Systems, COOL Chips 2022 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/COOLCHIPS54332.2022.9772708

Body Bias Control on a CGRA based on Convex Optimization. / Kojima, Takuya; Okuhara, Hayate; Kondo, Masaaki et al.
25th IEEE Symposium on Low-Power and High-Speed Chips and Systems, COOL Chips 2022 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2022. (25th IEEE Symposium on Low-Power and High-Speed Chips and Systems, COOL Chips 2022 - Proceedings).

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

Kojima, T, Okuhara, H, Kondo, M & Amano, H 2022, Body Bias Control on a CGRA based on Convex Optimization. in 25th IEEE Symposium on Low-Power and High-Speed Chips and Systems, COOL Chips 2022 - Proceedings. 25th IEEE Symposium on Low-Power and High-Speed Chips and Systems, COOL Chips 2022 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 25th IEEE Symposium on Low-Power and High-Speed Chips and Systems, COOL Chips 2022, Tokyo, Japan, 22/4/20. https://doi.org/10.1109/COOLCHIPS54332.2022.9772708

Kojima T, Okuhara H, Kondo M , Amano H. Body Bias Control on a CGRA based on Convex Optimization. In 25th IEEE Symposium on Low-Power and High-Speed Chips and Systems, COOL Chips 2022 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2022. (25th IEEE Symposium on Low-Power and High-Speed Chips and Systems, COOL Chips 2022 - Proceedings). doi: 10.1109/COOLCHIPS54332.2022.9772708

Kojima, Takuya ; Okuhara, Hayate ; Kondo, Masaaki et al. / Body Bias Control on a CGRA based on Convex Optimization. 25th IEEE Symposium on Low-Power and High-Speed Chips and Systems, COOL Chips 2022 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2022. (25th IEEE Symposium on Low-Power and High-Speed Chips and Systems, COOL Chips 2022 - Proceedings).

@inproceedings{aea62f6cece54c2ea07e1d18d89e5112,

title = "Body Bias Control on a CGRA based on Convex Optimization",

abstract = "Body biasing is one of the critical techniques to realize more energy-efficient computing with reconfigurable devices, such as Coarse-Grained Reconfigurable Architectures (CGRAs). Its benefit depends on the control granularity, whereas fine-grained control makes it challenging to find the best body bias voltage for each domain due to the complexity of the optimization problem. This work reformulates the optimization problem and introduces continuous relaxation to solve it faster than previous work. Experimental result shows the proposed method can solve the problem within 0.5 sec for all benchmarks in any conditions and demonstrates up to 5.65x speed-up compared to the previous method with negligible loss of accuracy.",

author = "Takuya Kojima and Hayate Okuhara and Masaaki Kondo and Hideharu Amano",

note = "Funding Information: Acknowledgement This work was supported in part by JSPS KAKENHI Grant 19J21493 and in part by the VLSI Design and Education Center (VDEC), the University of Tokyo in collaboration with Synopsys, Inc and Cadence Design Systems, Inc. Publisher Copyright: {\textcopyright} 2022 IEEE.; 25th IEEE Symposium on Low-Power and High-Speed Chips and Systems, COOL Chips 2022 ; Conference date: 20-04-2022 Through 22-04-2022",

year = "2022",

doi = "10.1109/COOLCHIPS54332.2022.9772708",

language = "English",

series = "25th IEEE Symposium on Low-Power and High-Speed Chips and Systems, COOL Chips 2022 - Proceedings",

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

booktitle = "25th IEEE Symposium on Low-Power and High-Speed Chips and Systems, COOL Chips 2022 - Proceedings",

}

TY - GEN

T1 - Body Bias Control on a CGRA based on Convex Optimization

AU - Kojima, Takuya

AU - Okuhara, Hayate

AU - Kondo, Masaaki

AU - Amano, Hideharu

N1 - Funding Information: Acknowledgement This work was supported in part by JSPS KAKENHI Grant 19J21493 and in part by the VLSI Design and Education Center (VDEC), the University of Tokyo in collaboration with Synopsys, Inc and Cadence Design Systems, Inc. Publisher Copyright: © 2022 IEEE.

PY - 2022

Y1 - 2022

N2 - Body biasing is one of the critical techniques to realize more energy-efficient computing with reconfigurable devices, such as Coarse-Grained Reconfigurable Architectures (CGRAs). Its benefit depends on the control granularity, whereas fine-grained control makes it challenging to find the best body bias voltage for each domain due to the complexity of the optimization problem. This work reformulates the optimization problem and introduces continuous relaxation to solve it faster than previous work. Experimental result shows the proposed method can solve the problem within 0.5 sec for all benchmarks in any conditions and demonstrates up to 5.65x speed-up compared to the previous method with negligible loss of accuracy.

AB - Body biasing is one of the critical techniques to realize more energy-efficient computing with reconfigurable devices, such as Coarse-Grained Reconfigurable Architectures (CGRAs). Its benefit depends on the control granularity, whereas fine-grained control makes it challenging to find the best body bias voltage for each domain due to the complexity of the optimization problem. This work reformulates the optimization problem and introduces continuous relaxation to solve it faster than previous work. Experimental result shows the proposed method can solve the problem within 0.5 sec for all benchmarks in any conditions and demonstrates up to 5.65x speed-up compared to the previous method with negligible loss of accuracy.

UR - http://www.scopus.com/inward/record.url?scp=85130821662&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85130821662&partnerID=8YFLogxK

U2 - 10.1109/COOLCHIPS54332.2022.9772708

DO - 10.1109/COOLCHIPS54332.2022.9772708

M3 - Conference contribution

AN - SCOPUS:85130821662

T3 - 25th IEEE Symposium on Low-Power and High-Speed Chips and Systems, COOL Chips 2022 - Proceedings

BT - 25th IEEE Symposium on Low-Power and High-Speed Chips and Systems, COOL Chips 2022 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 25th IEEE Symposium on Low-Power and High-Speed Chips and Systems, COOL Chips 2022

Y2 - 20 April 2022 through 22 April 2022

ER -

Body Bias Control on a CGRA based on Convex Optimization

Abstract

Publication series

Conference

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this