Publication detail
Scalable Construction of Approximate Multipliers With Formally Guaranteed Worst Case Error
MRÁZEK, V. VAŠÍČEK, Z. SEKANINA, L. JIANG, H. HAN, J.
Original Title
Scalable Construction of Approximate Multipliers With Formally Guaranteed Worst Case Error
Type
journal article in Web of Science
Language
English
Original Abstract
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.
Keywords
Approximate computing circuits and systems,circuit synthesis, circuits, computers and informationprocessing
Authors
MRÁZEK, V.; VAŠÍČEK, Z.; SEKANINA, L.; JIANG, H.; HAN, J.
Released
1. 11. 2018
ISBN
1063-8210
Periodical
IEEE Trans. on VLSI Systems.
Year of study
26
Number
11
State
United States of America
Pages from
2572
Pages to
2576
Pages count
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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