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Detail publikace
HRBÁČEK, R. MRÁZEK, V. VAŠÍČEK, Z.
Originální název
Automatic Design of Approximate Circuits by Means of Multi-Objective Evolutionary Algorithms
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
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.
Klíčová slova
approximate computing, cartesian genetic programming, evolutionary algorithms, multi-objective optimization
Autoři
HRBÁČEK, R.; MRÁZEK, V.; VAŠÍČEK, Z.
Vydáno
12. 4. 2016
Nakladatel
Istanbul Sehir University
Místo
Istanbul
ISBN
978-1-5090-0335-8
Kniha
Proceedings of the 11th International Conference on Design & Technology of Integrated Systems in Nanoscale Era
Strany od
239
Strany do
244
Strany počet
6
URL
https://www.fit.vut.cz/research/publication/11080/
BibTex
@inproceedings{BUT130937, author="Radek {Hrbáček} and Vojtěch {Mrázek} and Zdeněk {Vašíček}", title="Automatic Design of Approximate Circuits by Means of Multi-Objective Evolutionary Algorithms", booktitle="Proceedings of the 11th International Conference on Design & Technology of Integrated Systems in Nanoscale Era", year="2016", pages="239--244", publisher="Istanbul Sehir University", address="Istanbul", doi="10.1109/DTIS.2016.7483885", isbn="978-1-5090-0335-8", url="https://www.fit.vut.cz/research/publication/11080/" }