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A Systematic Methodology for Design and Worst-Case Error Analysis of Approximate Array Multipliers

Takahiro YAMAMOTO, Ittetsu TANIGUCHI, Hiroyuki TOMIYAMA, Shigeru YAMASHITA, Yuko HARA-AZUMI

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Summary :

Approximate computing is considered as a promising approach to design of power- or area-efficient digital circuits. This paper proposes a systematic methodology for design and worst-case accuracy analysis of approximate array multipliers. Our methodology systematically designs a series of approximate array multipliers with different area, delay, power and accuracy characteristics so that an LSI designer can select the one which best fits to the requirements of her/his applications. Our experiments explore the trade-offs among area, delay, power and accuracy of the approximate multipliers.

Publication
IEICE TRANSACTIONS on Fundamentals Vol.E100-A No.7 pp.1496-1499
Publication Date
2017/07/01
Publicized
Online ISSN
1745-1337
DOI
10.1587/transfun.E100.A.1496
Type of Manuscript
Special Section LETTER (Special Section on Design Methodologies for System on a Chip)
Category

Authors

Takahiro YAMAMOTO
  Ritsumeikan University
Ittetsu TANIGUCHI
  Ritsumeikan University
Hiroyuki TOMIYAMA
  Ritsumeikan University
Shigeru YAMASHITA
  Ritsumeikan University
Yuko HARA-AZUMI
  Tokyo Institute of Technology

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