Přístupnostní navigace
E-přihláška
Vyhledávání Vyhledat Zavřít
Detail publikačního výsledku
MRÁZEK, V.; VAŠÍČEK, Z.; SEKANINA, L.; JIANG, H.; HAN, J.
Originální název
Scalable Construction of Approximate Multipliers With Formally Guaranteed Worst Case Error
Anglický název
Druh
Článek WoS
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.
Anglický abstrakt
Klíčová slova
Approximate computing circuits and systems,circuit synthesis, circuits, computers and informationprocessing
Klíčová slova v angličtině
Autoři
Rok RIV
2019
Vydáno
01.11.2018
ISSN
1063-8210
Periodikum
IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS
Svazek
26
Číslo
11
Stát
Spojené státy americké
Strany od
2572
Strany do
2576
Strany počet
5
URL
https://www.fit.vut.cz/research/publication/11678/
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 TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (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/" }
Dokumenty
08423431