Detail publikace

Scalable Construction of Approximate Multipliers With Formally Guaranteed Worst Case Error

MRÁZEK, V. VAŠÍČEK, Z. SEKANINA, L. JIANG, H. HAN, J.

Originální název

Scalable Construction of Approximate Multipliers With Formally Guaranteed Worst Case Error

Typ

článek v časopise ve Web of Science, Jimp

Jazyk

angličtina

Originální abstrakt

Approximate computing exploits the fact that many applicationsare inherently error resilient. In order to reduce power consumption, approximate circuits such as multipliers have been employedin these applications. However, most current approximate multipliersare based on ad-hoc circuit structures and, for automated circuitapproximation methods, large efficient designs are difficult to find dueto the increased search space. Moreover, existing design methods do nottypically provide sufficient formal guarantees in terms of error if largeapproximate multipliers are constructed. To address these challenges,this brief introduces a general and efficient method for constructinglarge high-quality approximate multipliers with respect to the objectivesformulated in terms of the power-delay product and a provable errorbound. This is demonstrated by means of a comparative evaluation ofapproximate 16-bit multipliers constructed by the proposed method andother methods in the literature.

Klíčová slova

Approximate computing circuits and systems,circuit synthesis, circuits, computers and informationprocessing

Autoři

MRÁZEK, V.; VAŠÍČEK, Z.; SEKANINA, L.; JIANG, H.; HAN, J.

Vydáno

1. 11. 2018

ISSN

1063-8210

Periodikum

IEEE Trans. on VLSI Systems.

Ročník

26

Číslo

11

Stát

Spojené státy americké

Strany od

2572

Strany do

2576

Strany počet

5

URL

BibTex

@article{BUT155014,
  author="MRÁZEK, V. and VAŠÍČEK, Z. and SEKANINA, L. and JIANG, H. and HAN, J.",
  title="Scalable Construction of Approximate Multipliers With Formally Guaranteed Worst Case Error",
  journal="IEEE Trans. on VLSI Systems.",
  year="2018",
  volume="26",
  number="11",
  pages="2572--2576",
  doi="10.1109/TVLSI.2018.2856362",
  issn="1063-8210",
  url="https://www.fit.vut.cz/research/publication/11678/"
}

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