IEICE TRANSACTIONS on Electronics
Trading Accuracy for Power with a Configurable Approximate Adder
Summary :
Approximate computing is a promising paradigm to realize fast, small, and low power characteristics, which are essential for modern applications, such as Internet of Things (IoT) devices. This paper proposes the Carry-Predicting Adder (CPredA), an approximate adder that is scalable relative to accuracy and power consumption. The proposed CPredA improves the accuracy of a previously studied adder by performing carry prediction. Detailed simulations reveal that, compared to the existing approximate adder, accuracy is improved by approximately 50% with comparable energy efficiency. Two application-level evaluations demonstrate that the proposed approximate adder is sufficiently accurate for practical use.
- Publication
- IEICE TRANSACTIONS on Electronics Vol.E102-C No.4 pp.260-268
- Publication Date
- 2019/04/01
- Publicized
- Online ISSN
- 1745-1353
- DOI
- 10.1587/transele.2018CDP0001
- Type of Manuscript
- Special Section PAPER (Special Section on Solid-State Circuit Design — Architecture, Circuit, Device and Design Methodology)
- Category
Authors
Toshinori SATO
Fukuoka University
Tongxin YANG
Fukuoka University
Tomoaki UKEZONO
Fukuoka University
Keyword
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Toshinori SATO, Tongxin YANG, Tomoaki UKEZONO, "Trading Accuracy for Power with a Configurable Approximate Adder" in IEICE TRANSACTIONS on Electronics,
vol. E102-C, no. 4, pp. 260-268, April 2019, doi: 10.1587/transele.2018CDP0001.
Abstract: Approximate computing is a promising paradigm to realize fast, small, and low power characteristics, which are essential for modern applications, such as Internet of Things (IoT) devices. This paper proposes the Carry-Predicting Adder (CPredA), an approximate adder that is scalable relative to accuracy and power consumption. The proposed CPredA improves the accuracy of a previously studied adder by performing carry prediction. Detailed simulations reveal that, compared to the existing approximate adder, accuracy is improved by approximately 50% with comparable energy efficiency. Two application-level evaluations demonstrate that the proposed approximate adder is sufficiently accurate for practical use.
URL: https://global.ieice.org/en_transactions/electronics/10.1587/transele.2018CDP0001/_p
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@ARTICLE{e102-c_4_260,
author={Toshinori SATO, Tongxin YANG, Tomoaki UKEZONO, },
journal={IEICE TRANSACTIONS on Electronics},
title={Trading Accuracy for Power with a Configurable Approximate Adder},
year={2019},
volume={E102-C},
number={4},
pages={260-268},
abstract={Approximate computing is a promising paradigm to realize fast, small, and low power characteristics, which are essential for modern applications, such as Internet of Things (IoT) devices. This paper proposes the Carry-Predicting Adder (CPredA), an approximate adder that is scalable relative to accuracy and power consumption. The proposed CPredA improves the accuracy of a previously studied adder by performing carry prediction. Detailed simulations reveal that, compared to the existing approximate adder, accuracy is improved by approximately 50% with comparable energy efficiency. Two application-level evaluations demonstrate that the proposed approximate adder is sufficiently accurate for practical use.},
keywords={},
doi={10.1587/transele.2018CDP0001},
ISSN={1745-1353},
month={April},}
Copy
TY - JOUR
TI - Trading Accuracy for Power with a Configurable Approximate Adder
T2 - IEICE TRANSACTIONS on Electronics
SP - 260
EP - 268
AU - Toshinori SATO
AU - Tongxin YANG
AU - Tomoaki UKEZONO
PY - 2019
DO - 10.1587/transele.2018CDP0001
JO - IEICE TRANSACTIONS on Electronics
SN - 1745-1353
VL - E102-C
IS - 4
JA - IEICE TRANSACTIONS on Electronics
Y1 - April 2019
AB - Approximate computing is a promising paradigm to realize fast, small, and low power characteristics, which are essential for modern applications, such as Internet of Things (IoT) devices. This paper proposes the Carry-Predicting Adder (CPredA), an approximate adder that is scalable relative to accuracy and power consumption. The proposed CPredA improves the accuracy of a previously studied adder by performing carry prediction. Detailed simulations reveal that, compared to the existing approximate adder, accuracy is improved by approximately 50% with comparable energy efficiency. Two application-level evaluations demonstrate that the proposed approximate adder is sufficiently accurate for practical use.
ER -
English
