The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
근사 컴퓨팅은 IoT(사물 인터넷) 장치와 같은 최신 애플리케이션에 필수적인 빠르고, 작고, 낮은 전력 특성을 실현하는 유망한 패러다임입니다. 본 논문에서는 정확도와 전력 소모에 따라 확장 가능한 근사 가산기인 CPredA(Carry-Predicting Adder)를 제안합니다. 제안하는 CPredA는 캐리 예측을 수행하여 이전에 연구된 가산기의 정확도를 향상시킨다. 상세한 시뮬레이션 결과, 기존 근사 가산기에 비해 비슷한 에너지 효율로 정확도가 약 50% 향상되는 것으로 나타났습니다. 두 가지 응용 수준 평가는 제안된 근사 가산기가 실제 사용에 충분히 정확하다는 것을 보여줍니다.
Toshinori SATO
Fukuoka University
Tongxin YANG
Fukuoka University
Tomoaki UKEZONO
Fukuoka University
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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},}
부
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 -