A Radix-4 Partial Product Generation-Based Approximate Multiplier for High-speed and Low-power Digital Signal Processing

Xiaoting Sun, Yi Guo, Zhenhao Liu, Shinji Kimura

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

Abstract

Power and energy minimization has become a significant design requirement for many electronic systems nowadays. As a commonly used arithmetic unit, approximate multiplier is a desirable target for high-speed and low-power digital signal processing. This paper proposes a novel design based on radix-4 partial product generation method, which reduces the height of partial product to half. A new 4-2 compressor is also proposed under the consideration of hardware and accuracy performance for partial product accumulation. As a result, the proposed design for 8-bit multiplication achieves a reduction of power, area and delay up to 49.4%, 53.4% and 48.2% compared to the conventional accurate multiplier. Meanwhile, the accuracy and hardware performance of the proposed design are also compared with several previous works and shows its effectiveness. In addition, the proposed multiplier is also applied to image processing applications without compromising the overall image quality while the power consumption is dramatically reduced.

Original languageEnglish
Title of host publication2018 25th IEEE International Conference on Electronics Circuits and Systems, ICECS 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages777-780
Number of pages4
ISBN (Electronic)9781538695623
DOIs
Publication statusPublished - 2019 Jan 17
Event25th IEEE International Conference on Electronics Circuits and Systems, ICECS 2018 - Bordeaux, France
Duration: 2018 Dec 92018 Dec 12

Publication series

Name2018 25th IEEE International Conference on Electronics Circuits and Systems, ICECS 2018

Conference

Conference25th IEEE International Conference on Electronics Circuits and Systems, ICECS 2018
CountryFrance
CityBordeaux
Period18/12/918/12/12

Keywords

  • approximate computing
  • Digital signal processing
  • energy efficiency
  • error analysis
  • high speed

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Instrumentation

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