A Low-Power Approximate Multiplier with Sign-Focus Compressor and Error Compensation

Laimin Du1; Leibin Ni2; Xiong Liu2; Wei Mao1; Hao Yu1

10.1109/APCCAS55924.2022.10090316

2022

IEEE Asia Pacific Conference on Circuits and Systems (APCCAS)

978-1-6654-5080-5

2022 IEEE ASIA PACIFIC CONFERENCE ON CIRCUITS AND SYSTEMS, APCCAS

226-230

NOV 11-13, 2022

So Univ Sci & Technol,Shenzhen,PEOPLES R CHINA

345 E 47TH ST, NEW YORK, NY 10017 USA

IEEE

Approximate computing is an emerging and effective means of reducing energy consumption in digital circuits,which is critical for improving the energy efficiency of edge computing devices. In this paper, we propose a novel low power signed approximate multiplier based on a sign-focus compressor and error compensation. The sign-focus compressor is a compressor customized for partial product matrix of signed operands. After probabilistic analysis, it is reduced to the simplest logic circuit. At the same time, we truncate the low N-1 columns of the partial product matrix and perform error compensation. By logic synthesis evaluation, the proposed approximate multiplier saves 49.84% power, 46.41% area and 24.65% delay compared to the exact multiplier. Compared with other state-of-the-art approximate multipliers, the proposed approximate multiplier has better accuracy-performance tradeoff.

low power signed multiplier compressor error compensation

第一 ; 通讯

英语

CPCI-S

National Key R&D Program of the Ministry of science and technology[2021YFE0204000] ; Guangdong Provincial Key Laboratory Program from the Department of Science and Technology of Guangdong Province[2021B1212 040001] ; Shenzhen Science and Technology Program[KQTD20200820113051096]

Computer Science ; Engineering

Computer Science, Hardware & Architecture ; Engineering, Electrical & Electronic

WOS:000987045300049

Web of Science

1.School of Microelectronics,Southern University of science and technology
2.Advanced Computing and Storage Laboratory, Huawei Technologies Co

Laimin Du,Leibin Ni,Xiong Liu,et al. A Low-Power Approximate Multiplier with Sign-Focus Compressor and Error Compensation[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE,2022:226-230.