Detail publikace

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

ŠKARVADA, J. KOTÁSEK, Z. STRNADEL, J.

Originální název

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

Typ

článek ve sborníku mimo WoS a Scopus

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

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

Autoři

ŠKARVADA, J.; KOTÁSEK, Z.; STRNADEL, J.

Rok RIV

2010

Vydáno

1. 9. 2010

Nakladatel

Springer Verlag

Místo

Berlin

ISBN

978-3-642-15322-8

Kniha

Evolvable Systems: From Biology to Hardware

Edice

Lecture Notes in Computer Science, ISSN 0302-9743, Vol. 6274

ISSN

0302-9743

Periodikum

Lecture Notes in Computer Science

Ročník

2010

Číslo

6274

Stát

Spolková republika Německo

Strany od

181

Strany do

192

Strany počet

14

URL

https://www.fit.vut.cz/research/publication/9341/

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/"
}