Novel approximate absolute difference hardware

Ahmet Can Mert, Hasan Azgin, Ercan Kalali, Ilker Hamzaoglu

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

6 Citations (Scopus)

Abstract

Approximate hardware designs have higher performance, smaller area or lower power consumption than exact hardware designs at the expense of lower accuracy. Absolute difference (AD) operation is heavily used in many applications such as motion estimation (ME) for video compression, ME for frame rate conversion, stereo matching for depth estimation. Since most of the applications using AD operation are error tolerant by their nature, approximate hardware designs can be used in these applications. In this paper, novel approximate AD hardware designs are proposed. The proposed approximate AD hardware implementations have higher performance, smaller area and lower power consumption than exact AD hardware implementations at the expense of lower accuracy. They also have less error, smaller area and lower power consumption than the approximate AD hardware implementations which use approximate adders proposed in the literature.

Original languageEnglish
Title of host publicationProceedings - Euromicro Conference on Digital System Design, DSD 2019
EditorsNikos Konofaos, Paris Kitsos
PublisherInstitute of Electrical and Electronics Engineers
Pages190-193
Number of pages4
ISBN (Electronic)978-1-7281-2862-7
DOIs
Publication statusPublished - 21 Oct 2019
Externally publishedYes
Event22nd Euromicro Conference on Digital System Design, DSD 2019 - Kallithea, Kallithea, Chalkidiki, Greece
Duration: 28 Aug 201930 Aug 2019
Conference number: 22
http://dsd-seaa2019.csd.auth.gr/

Conference

Conference22nd Euromicro Conference on Digital System Design, DSD 2019
Abbreviated titleDSD 2019
Country/TerritoryGreece
CityKallithea, Chalkidiki
Period28/08/1930/08/19
Internet address

Keywords

  • Approximate Computing
  • Low Power Design
  • Hardware Design
  • Motion Estimation
  • Absolute difference
  • approximate computing
  • hardware design
  • motion estimation
  • low power

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