Publication Details

The Use of Genetic Algorithm to Reduce Power Consumption during Test Application

ŠKARVADA, J.; KOTÁSEK, Z.; STRNADEL, J. The Use of Genetic Algorithm to Reduce Power Consumption during Test Application. Evolvable Systems: From Biology to Hardware. Lecture Notes in Computer Science. Lecture Notes in Computer Science, ISSN 0302-9743, Vol. 6274. Berlin: Springer Verlag, 2010. p. 181-192. ISBN: 978-3-642-15322-8. ISSN: 0302-9743.
Czech title
Použití genetického algoritmu pro redukci příkonu během aplikace testu
Type
conference paper
Language
English
Authors
Škarvada Jaroslav, Ing., Ph.D.
Kotásek Zdeněk, doc. Ing., CSc.
Strnadel Josef, Ing., Ph.D. (DCSY)
URL
Keywords

test application, power consumption, reduction, optimization, genetic algorithm, scan chain, scan register, test vector, reordering, benchmark, digital circuit

Abstract

In this paper it is demonstrated how two issues from the area of testing electronic components can be merged and solved by means of a genetic algorithm. The two issues are the ordering of test vectors and scan registers with the goal of reducing switching activity during test application and power consumption as a consequence of the ordering. The principles of developing an optimizing procedure with the aim of achieving a solution satisfying the required value of power consumption during power consumption are described here. A basic description of the methodology together with the functions needed to implement the procedures is provided. Experimental results are also discussed.

Published
2010
Pages
181–192
Journal
Lecture Notes in Computer Science, vol. 2010, no. 6274, ISSN 0302-9743
Proceedings
Evolvable Systems: From Biology to Hardware
Series
Lecture Notes in Computer Science, ISSN 0302-9743, Vol. 6274
ISBN
978-3-642-15322-8
Publisher
Springer Verlag
Place
Berlin
DOI
10.1007/978-3-642-15323-5_16
BibTeX 
@inproceedings{BUT35933,
  author="Jaroslav {Škarvada} and Zdeněk {Kotásek} and Josef {Strnadel}",
  title="The Use of Genetic Algorithm to Reduce Power Consumption during Test Application",
  booktitle="Evolvable Systems: From Biology to Hardware",
  year="2010",
  series="Lecture Notes in Computer Science, ISSN 0302-9743, Vol. 6274",
  journal="Lecture Notes in Computer Science",
  volume="2010",
  number="6274",
  pages="181--192",
  publisher="Springer Verlag",
  address="Berlin",
  doi="10.1007/978-3-642-15323-5\{_}16",
  isbn="978-3-642-15322-8",
  issn="0302-9743",
  url="https://www.fit.vut.cz/research/publication/9341/"
}
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