Energy-Efficient and High-Speed Approximate Signed Multipliers with Sign-Focused Compressors

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Approximate computing has emerged as a promising approach to reduce energy by sacrificing some accuracy in error-tolerant applications. For these applications, multiplication is a key fundamental operation. In the paper, we propose an approximate signed multiplier design with a low power consumption and a short critical path. Inexact sign-focused compressors are first proposed to accumulate partial products, which cut the carry propagation and simplify the circuit complexity. Moreover, three types of approximate multipliers are presented to achieve different trade-offs between accuracy loss and hardware saving. Experimental results show that the most accurate proposed multiplier reduces power by 52.44%, area by 37.73%, and delay by 22.14%, compare with the exact signed multiplier. In addition, the proposed multiplier design costs less hardware than other multipliers with a comparable accuracy. At last, an application to image processing shows the efficiency of proposed signed multipliers.

Original languageEnglish
Title of host publicationProceedings - 32nd IEEE International System on Chip Conference, SOCC 2019
EditorsDanella Zhao, Arindam Basu, Magdy Bayoumi, Gwee Bah Hwee, Ge Tong, Ramalingam Sridhar
PublisherIEEE Computer Society
Pages330-335
Number of pages6
ISBN (Electronic)9781728134826
DOIs
Publication statusPublished - 2019 Sep
Event32nd IEEE International System on Chip Conference, SOCC 2019 - Singapore, Singapore
Duration: 2019 Sep 32019 Sep 6

Publication series

NameInternational System on Chip Conference
Volume2019-September
ISSN (Print)2164-1676
ISSN (Electronic)2164-1706

Conference

Conference32nd IEEE International System on Chip Conference, SOCC 2019
CountrySingapore
CitySingapore
Period19/9/319/9/6

Keywords

  • Approximate computing
  • inexact compressor
  • low power
  • signed multiplier

ASJC Scopus subject areas

  • Hardware and Architecture
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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  • Cite this

    Guo, Y., Sun, H., & Kimura, S. (2019). Energy-Efficient and High-Speed Approximate Signed Multipliers with Sign-Focused Compressors. In D. Zhao, A. Basu, M. Bayoumi, G. B. Hwee, G. Tong, & R. Sridhar (Eds.), Proceedings - 32nd IEEE International System on Chip Conference, SOCC 2019 (pp. 330-335). [9088005] (International System on Chip Conference; Vol. 2019-September). IEEE Computer Society. https://doi.org/10.1109/SOCC46988.2019.1570548436