Automatic Design of Approximate Circuits by Means of Multi-Objective Evolutionary Algorithms

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F16%3APU121593" target="_blank" >RIV/00216305:26230/16:PU121593 - isvavai.cz</a>

Výsledek na webu

<a href="http://www.fit.vutbr.cz/research/pubs/all.php?id=11080" target="_blank" >http://www.fit.vutbr.cz/research/pubs/all.php?id=11080</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/DTIS.2016.7483885" target="_blank" >10.1109/DTIS.2016.7483885</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Automatic Design of Approximate Circuits by Means of Multi-Objective Evolutionary Algorithms

Popis výsledku v původním jazyce

Recently, power efficiency has become the most important parameter of many real circuits. At the same time, a wide range of applications capable of tolerating imperfections has spread out especially in multimedia. Approximate computing, an emerging paradigm, takes advantage of relaxed functionality requirements to make computer systems more efficient in terms of energy consumption, speed or complexity. As a result, a variety of trade-offs between error and efficiency can be found. In this paper, a design method based on a multi-objective evolutionary algorithm is proposed. For a given circuit, the method is able to produce a set of Pareto optimal solutions in terms of the error, power consumption and delay. The proposed design method uses Cartesian Genetic Programming for the circuit representation and a modified NSGA-II algorithm for design space exploration. The method is used to design Pareto optimal approximate versions of arithmetic circuits such as multipliers and adders.

Název v anglickém jazyce

Automatic Design of Approximate Circuits by Means of Multi-Objective Evolutionary Algorithms

Popis výsledku anglicky

Recently, power efficiency has become the most important parameter of many real circuits. At the same time, a wide range of applications capable of tolerating imperfections has spread out especially in multimedia. Approximate computing, an emerging paradigm, takes advantage of relaxed functionality requirements to make computer systems more efficient in terms of energy consumption, speed or complexity. As a result, a variety of trade-offs between error and efficiency can be found. In this paper, a design method based on a multi-objective evolutionary algorithm is proposed. For a given circuit, the method is able to produce a set of Pareto optimal solutions in terms of the error, power consumption and delay. The proposed design method uses Cartesian Genetic Programming for the circuit representation and a modified NSGA-II algorithm for design space exploration. The method is used to design Pareto optimal approximate versions of arithmetic circuits such as multipliers and adders.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2016

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of the 11th International Conference on Design & Technology of Integrated Systems in Nanoscale Era

ISBN

978-1-5090-0335-8

ISSN

—

e-ISSN

—

Počet stran výsledku

6

Strana od-do

239-244

Název nakladatele

Istanbul Sehir University

Místo vydání

Istanbul

Místo konání akce

Istanbul

Datum konání akce

12. 4. 2016

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000386756700022