Approximate computing is a promising solution for future energy-efficient designs because it can provide great improvements in performance, area and/or energy consumption over traditional exact-computing designs for non-critical error-tolerant applications. However, the most challenging issue in designing approximate circuits is how to guarantee the pre-specified computation accuracy while achieving energy reduction and performance improvement. To address this problem, this paper starts from the state-of-the-art general approximate adder model (GeAr) and extends it for more possible approximate design candidates by relaxing the design restrictions. And then a maximum-error-distance-based performance/accuracy formulation, which can be used to select the performance/energy-accuracy optimal design from the extended design space, is proposed. Our evaluation results show the effectiveness of the proposed method in terms of area overhead, performance, energy consumption, and computation accuracy.
Ken HAYAMIZU
Waseda University
Nozomu TOGAWA
Waseda University
Masao YANAGISAWA
Waseda University
Youhua SHI
Waseda University
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Ken HAYAMIZU, Nozomu TOGAWA, Masao YANAGISAWA, Youhua SHI, "Extension and Performance/Accuracy Formulation for Optimal GeAr-Based Approximate Adder Designs" in IEICE TRANSACTIONS on Fundamentals,
vol. E101-A, no. 7, pp. 1014-1024, July 2018, doi: 10.1587/transfun.E101.A.1014.
Abstract: Approximate computing is a promising solution for future energy-efficient designs because it can provide great improvements in performance, area and/or energy consumption over traditional exact-computing designs for non-critical error-tolerant applications. However, the most challenging issue in designing approximate circuits is how to guarantee the pre-specified computation accuracy while achieving energy reduction and performance improvement. To address this problem, this paper starts from the state-of-the-art general approximate adder model (GeAr) and extends it for more possible approximate design candidates by relaxing the design restrictions. And then a maximum-error-distance-based performance/accuracy formulation, which can be used to select the performance/energy-accuracy optimal design from the extended design space, is proposed. Our evaluation results show the effectiveness of the proposed method in terms of area overhead, performance, energy consumption, and computation accuracy.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E101.A.1014/_p
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@ARTICLE{e101-a_7_1014,
author={Ken HAYAMIZU, Nozomu TOGAWA, Masao YANAGISAWA, Youhua SHI, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Extension and Performance/Accuracy Formulation for Optimal GeAr-Based Approximate Adder Designs},
year={2018},
volume={E101-A},
number={7},
pages={1014-1024},
abstract={Approximate computing is a promising solution for future energy-efficient designs because it can provide great improvements in performance, area and/or energy consumption over traditional exact-computing designs for non-critical error-tolerant applications. However, the most challenging issue in designing approximate circuits is how to guarantee the pre-specified computation accuracy while achieving energy reduction and performance improvement. To address this problem, this paper starts from the state-of-the-art general approximate adder model (GeAr) and extends it for more possible approximate design candidates by relaxing the design restrictions. And then a maximum-error-distance-based performance/accuracy formulation, which can be used to select the performance/energy-accuracy optimal design from the extended design space, is proposed. Our evaluation results show the effectiveness of the proposed method in terms of area overhead, performance, energy consumption, and computation accuracy.},
keywords={},
doi={10.1587/transfun.E101.A.1014},
ISSN={1745-1337},
month={July},}
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TY - JOUR
TI - Extension and Performance/Accuracy Formulation for Optimal GeAr-Based Approximate Adder Designs
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1014
EP - 1024
AU - Ken HAYAMIZU
AU - Nozomu TOGAWA
AU - Masao YANAGISAWA
AU - Youhua SHI
PY - 2018
DO - 10.1587/transfun.E101.A.1014
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E101-A
IS - 7
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - July 2018
AB - Approximate computing is a promising solution for future energy-efficient designs because it can provide great improvements in performance, area and/or energy consumption over traditional exact-computing designs for non-critical error-tolerant applications. However, the most challenging issue in designing approximate circuits is how to guarantee the pre-specified computation accuracy while achieving energy reduction and performance improvement. To address this problem, this paper starts from the state-of-the-art general approximate adder model (GeAr) and extends it for more possible approximate design candidates by relaxing the design restrictions. And then a maximum-error-distance-based performance/accuracy formulation, which can be used to select the performance/energy-accuracy optimal design from the extended design space, is proposed. Our evaluation results show the effectiveness of the proposed method in terms of area overhead, performance, energy consumption, and computation accuracy.
ER -