Approximate hardware techniques for energy-quality scaling across the system

Younghyun Kim; Joshua San Miguel; Setareh Behroozi; Tianen Chen; Kyuin Lee; Yongwoo Lee; Jingjie Li; Di Wu

doi:10.1109/ICEIC49074.2020.9051208

Approximate hardware techniques for energy-quality scaling across the system

Younghyun Kim, Joshua San Miguel, Setareh Behroozi, Tianen Chen, Kyuin Lee, Yongwoo Lee, Jingjie Li, Di Wu

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

Abstract / Description of output

For error-resilient applications, such as machine learning and signal processing, a significant improvement in energy efficiency can be achieved by relaxing exactness constraint on output quality. This paper presents a taxonomy of hardware techniques to exploit the trade-off between energy efficiency and quality in various computer subsystems. We classify approximate hardware techniques according to target subsystem and support for dynamic energy-quality scaling.

Original language	English
Title of host publication	2020 International Conference on Electronics, Information, and Communication, ICEIC 2020
Publisher	Institute of Electrical and Electronics Engineers
Pages	1-5
ISBN (Electronic)	9781728162898
ISBN (Print)	9781728162904
DOIs	https://doi.org/10.1109/ICEIC49074.2020.9051208
Publication status	Published - 2 Apr 2020
Event	2020 International Conference on Electronics, Information, and Communication, ICEIC 2020 - Barcelona, Spain Duration: 19 Jan 2020 → 22 Jan 2020

Publication series

Name	2020 International Conference on Electronics, Information, and Communication, ICEIC 2020

Conference

Conference	2020 International Conference on Electronics, Information, and Communication, ICEIC 2020
Country/Territory	Spain
City	Barcelona
Period	19/01/20 → 22/01/20

Keywords / Materials (for Non-textual outputs)

Approximate computing
Energy-quality scaling
Survey

Access to Document

10.1109/ICEIC49074.2020.9051208Licence: All Rights Reserved

https://ieeexplore.ieee.org/document/9051208Licence: All Rights Reserved

Cite this

Kim, Y., Miguel, J. S., Behroozi, S., Chen, T., Lee, K., Lee, Y., Li, J., & Wu, D. (2020). Approximate hardware techniques for energy-quality scaling across the system. In 2020 International Conference on Electronics, Information, and Communication, ICEIC 2020 (pp. 1-5). Article 9051208 (2020 International Conference on Electronics, Information, and Communication, ICEIC 2020). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ICEIC49074.2020.9051208

Kim, Younghyun ; Miguel, Joshua San ; Behroozi, Setareh et al. / Approximate hardware techniques for energy-quality scaling across the system. 2020 International Conference on Electronics, Information, and Communication, ICEIC 2020. Institute of Electrical and Electronics Engineers, 2020. pp. 1-5 (2020 International Conference on Electronics, Information, and Communication, ICEIC 2020).

@inproceedings{ea0ff869881b4ffd890ff98a5eb917e2,

title = "Approximate hardware techniques for energy-quality scaling across the system",

abstract = "For error-resilient applications, such as machine learning and signal processing, a significant improvement in energy efficiency can be achieved by relaxing exactness constraint on output quality. This paper presents a taxonomy of hardware techniques to exploit the trade-off between energy efficiency and quality in various computer subsystems. We classify approximate hardware techniques according to target subsystem and support for dynamic energy-quality scaling.",

keywords = "Approximate computing, Energy-quality scaling, Survey",

author = "Younghyun Kim and Miguel, {Joshua San} and Setareh Behroozi and Tianen Chen and Kyuin Lee and Yongwoo Lee and Jingjie Li and Di Wu",

note = "Funding Information: This work was supported in part by the Wisconsin Alumni Research Foundation and NSF under award CNS-1845469. Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 International Conference on Electronics, Information, and Communication, ICEIC 2020 ; Conference date: 19-01-2020 Through 22-01-2020",

year = "2020",

month = apr,

day = "2",

doi = "10.1109/ICEIC49074.2020.9051208",

language = "English",

isbn = "9781728162904",

series = "2020 International Conference on Electronics, Information, and Communication, ICEIC 2020",

publisher = "Institute of Electrical and Electronics Engineers",

pages = "1--5",

booktitle = "2020 International Conference on Electronics, Information, and Communication, ICEIC 2020",

address = "United States",

}

Kim, Y, Miguel, JS, Behroozi, S, Chen, T, Lee, K, Lee, Y, Li, J & Wu, D 2020, Approximate hardware techniques for energy-quality scaling across the system. in 2020 International Conference on Electronics, Information, and Communication, ICEIC 2020., 9051208, 2020 International Conference on Electronics, Information, and Communication, ICEIC 2020, Institute of Electrical and Electronics Engineers, pp. 1-5, 2020 International Conference on Electronics, Information, and Communication, ICEIC 2020, Barcelona, Spain, 19/01/20. https://doi.org/10.1109/ICEIC49074.2020.9051208

Approximate hardware techniques for energy-quality scaling across the system. / Kim, Younghyun; Miguel, Joshua San; Behroozi, Setareh et al.
2020 International Conference on Electronics, Information, and Communication, ICEIC 2020. Institute of Electrical and Electronics Engineers, 2020. p. 1-5 9051208 (2020 International Conference on Electronics, Information, and Communication, ICEIC 2020).

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

TY - GEN

T1 - Approximate hardware techniques for energy-quality scaling across the system

AU - Kim, Younghyun

AU - Miguel, Joshua San

AU - Behroozi, Setareh

AU - Chen, Tianen

AU - Lee, Kyuin

AU - Lee, Yongwoo

AU - Li, Jingjie

AU - Wu, Di

PY - 2020/4/2

Y1 - 2020/4/2

N2 - For error-resilient applications, such as machine learning and signal processing, a significant improvement in energy efficiency can be achieved by relaxing exactness constraint on output quality. This paper presents a taxonomy of hardware techniques to exploit the trade-off between energy efficiency and quality in various computer subsystems. We classify approximate hardware techniques according to target subsystem and support for dynamic energy-quality scaling.

AB - For error-resilient applications, such as machine learning and signal processing, a significant improvement in energy efficiency can be achieved by relaxing exactness constraint on output quality. This paper presents a taxonomy of hardware techniques to exploit the trade-off between energy efficiency and quality in various computer subsystems. We classify approximate hardware techniques according to target subsystem and support for dynamic energy-quality scaling.

KW - Approximate computing

KW - Energy-quality scaling

KW - Survey

U2 - 10.1109/ICEIC49074.2020.9051208

DO - 10.1109/ICEIC49074.2020.9051208

M3 - Conference contribution

AN - SCOPUS:85083513093

SN - 9781728162904

T3 - 2020 International Conference on Electronics, Information, and Communication, ICEIC 2020

SP - 1

EP - 5

BT - 2020 International Conference on Electronics, Information, and Communication, ICEIC 2020

PB - Institute of Electrical and Electronics Engineers

T2 - 2020 International Conference on Electronics, Information, and Communication, ICEIC 2020

Y2 - 19 January 2020 through 22 January 2020

ER -

Kim Y, Miguel JS, Behroozi S, Chen T, Lee K, Lee Y et al. Approximate hardware techniques for energy-quality scaling across the system. In 2020 International Conference on Electronics, Information, and Communication, ICEIC 2020. Institute of Electrical and Electronics Engineers. 2020. p. 1-5. 9051208. (2020 International Conference on Electronics, Information, and Communication, ICEIC 2020). doi: 10.1109/ICEIC49074.2020.9051208

Approximate hardware techniques for energy-quality scaling across the system

Abstract / Description of output

Publication series

Conference

Keywords / Materials (for Non-textual outputs)

Access to Document

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Cite this