Publication detail

Evolutionary Design of Reconfiguration Strategies to Reduce the Test Application Time

ŠIMÁČEK, J. SEKANINA, L. STAREČEK, L.

Original Title

Evolutionary Design of Reconfiguration Strategies to Reduce the Test Application Time

Type

article in a collection out of WoS and Scopus

Language

English

Original Abstract

Recently, a method has been presented that allows a significant test application time reduction if some of gates of a digital circuit are reconfigured before test is applied. Selection of the gates for reconfiguration was performed using a very time consuming deterministic recursive search algorithm. In this paper, a new method is proposed for selection of the gates in order to reduce the test application time. The method utilizes an evolutionary algorithm which is able to discover very competitive reconfiguration strategies while the time of optimization is considerably reduced with respect to the original algorithm. Moreover, the user can easily balance the trade off between the number of test vectors and amount of logic that has to be reconfigured. Experimental results are reported for the ISCAS85 benchmark suite.

Keywords

evolutionary algorithm, reconfiguration, testing, digital circuit

Authors

ŠIMÁČEK, J.; SEKANINA, L.; STAREČEK, L.

RIV year

2010

Released

8. 9. 2010

Publisher

Springer Verlag

Location

Berlin

ISBN

978-3-642-15322-8

Book

Evolvable Systems: From Biology to Hardware

Edition

Lecture Notes in Computer Science

Pages from

214

Pages to

225

Pages count

12

URL

https://www.fit.vut.cz/research/publication/9300/

BibTex

@inproceedings{BUT34847,
  author="Jiří {Šimáček} and Lukáš {Sekanina} and Lukáš {Stareček}",
  title="Evolutionary Design of Reconfiguration Strategies to Reduce the Test Application Time",
  booktitle="Evolvable Systems: From Biology to Hardware",
  year="2010",
  series="Lecture Notes in Computer Science",
  volume="6274",
  pages="214--225",
  publisher="Springer Verlag",
  address="Berlin",
  isbn="978-3-642-15322-8",
  url="https://www.fit.vut.cz/research/publication/9300/"
}