Publication detail

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

ŠKARVADA, J. KOTÁSEK, Z. STRNADEL, J.

Original Title

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

English Title

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

Type

conference paper

Language

en

Original 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.

English 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.

Keywords

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

RIV year

2010

Released

01.09.2010

Publisher

Springer Verlag

Location

Berlin

ISBN

978-3-642-15322-8

Book

Evolvable Systems: From Biology to Hardware

Edition

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

Edition number

NEUVEDEN

Pages from

181

Pages to

192

Pages count

14

URL

Documents

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",
  annote="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.",
  address="Springer Verlag",
  booktitle="Evolvable Systems: From Biology to Hardware",
  chapter="35933",
  doi="10.1007/978-3-642-15323-5_16",
  edition="Lecture Notes in Computer Science, ISSN 0302-9743, Vol. 6274",
  howpublished="print",
  institution="Springer Verlag",
  number="6274",
  year="2010",
  month="september",
  pages="181--192",
  publisher="Springer Verlag",
  type="conference paper"
}