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A Majority-based Approximate Adder for FPGAs

  • Behnam Ghavami
  • , Mahdi Sajedi
  • , Mohsen Raji
  • , Zhenman Fang
  • , Lesley Shannon

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

Abstract

The most advanced ASIC-based approximate adders are focused on gate or transistor level approximating structures. However, due to architectural differences between ASIC and FPGA, comparable performance gains for FPGA-based approximate adders cannot be obtained using ASIC-based approximation ones. In this paper, we propose a method for designing a low-error approximate adder that effectively deploys the modern FPGA structure. We introduce an FPGA-based approximate adder, named as Majority Approximate Adder (MAA), with less error than the advanced approximate adders. MAA is constructed using an approximate part and an accurate one; i.e. the accurate part is based on a smaller carry-chain compared with the carry-chain of the corresponding accurate adder. In addition, approximate part is designed to use FPGA resources efficiently with a low mean error distance (MED). Experimental results based on Monte-Carlo simulation demonstrates that a 16-bit MAA has a 49.92% lower MED than the state of the art FPGA-based approximate adder. MAA also takes up less area and consumes less power than other FPGA-based approximate adders in the literature.

Original languageEnglish (US)
Title of host publicationProceedings - 2022 25th Euromicro Conference on Digital System Design, DSD 2022
EditorsHimar Fabelo, Samuel Ortega, Amund Skavhaug
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages53-59
Number of pages7
ISBN (Electronic)9781665474047
DOIs
StatePublished - 2022
Externally publishedYes
Event25th Euromicro Conference on Digital System Design, DSD 2022 - Maspalomas, Spain
Duration: Aug 31 2022Sep 2 2022

Publication series

NameProceedings - 2022 25th Euromicro Conference on Digital System Design, DSD 2022

Conference

Conference25th Euromicro Conference on Digital System Design, DSD 2022
Country/TerritorySpain
CityMaspalomas
Period8/31/229/2/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

Keywords

  • Approximate adder
  • Approximate computing
  • FPGA
  • High speed
  • low error
  • low power
  • LUT

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