Evolutionary approximation of complex digital circuits

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F15%3APU116958" target="_blank" >RIV/00216305:26230/15:PU116958 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1145/2739482.2764657" target="_blank" >http://dx.doi.org/10.1145/2739482.2764657</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1145/2739482.2764657" target="_blank" >10.1145/2739482.2764657</a>

Result language

angličtina

Original language name

Evolutionary approximation of complex digital circuits

Original language description

Circuit approximation has been developed in recent years as a viable method for constructing energy efficient electronic systems. An open problem is how to effectively obtain approximate circuits showing good compromises between key circuit parameters - the error, power consumption, area and delay.  The use of evolutionary algorithms in the task of circuit approximation has led to promising results; however, only relative simple circuit instances have been tackled because of the scalability problems of the evolutionary design method. We propose to replace the most time consuming part of the evolutionary design algorithm, i.e. the fitness calculation exponentially depending on the number of circuit inputs, by an equivalence checking algorithm operating over Binary Decision Diagrams (BDDs). Approximate circuits are evolved using Cartesian genetic programming which calls a  BDD solver to calculate the fitness value of candidate circuits. The method enables to obtain approximate circuits consisting of tens of inputs and hundreds of gates and showing desired trade-off between key circuit parameters.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

<a href="/en/project/ED1.1.00%2F02.0070" target="_blank" >ED1.1.00/02.0070: IT4Innovations Centre of Excellence</a><br>

Continuities

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

Publication year

2015

Confidentiality

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

Article name in the collection

Proceedings of the Companion Publication of the 2015 on Genetic and Evolutionary Computation Conference

ISBN

978-1-4503-3488-4

ISSN

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e-ISSN

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Number of pages

2

Pages from-to

1505-1506

Publisher name

Association for Computing Machinery

Place of publication

New York

Event location

Madrid

Event date

Jul 11, 2015

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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