Conference paper

KOTÁSEK Zdeněk, ŠKARVADA Jaroslav and STRNADEL Josef. The Use of Genetic Algorithm to Derive Correlation Between Test Vector and Scan Register Sequences and Reduce Power Consumption. In: Proceedings of 13th Euromicro Conference on Digital System Design Architectures, Methods and Tools. Los Alamitos: IEEE Computer Society, 2010, pp. 644-651. ISBN 978-0-7695-4171-6.
Publication language:english
Original title:The Use of Genetic Algorithm to Derive Correlation Between Test Vector and Scan Register Sequences and Reduce Power Consumption
Title (cs):Použití genetického algoritmu k odvození vztahu mezi pořadími aplikace testovacích vektorů a rozmístění registrů a k redukci příkonu
Pages:644-651
Proceedings:Proceedings of 13th Euromicro Conference on Digital System Design Architectures, Methods and Tools
Conference:13th EUROMICRO Conference on Digital System Design, DSD'2010
Place:Los Alamitos, US
Year:2010
ISBN:978-0-7695-4171-6
Publisher:IEEE Computer Society
URL:http://www.computer.org/portal/web/csdl/doi/10.1109/DSD.2010.37 [PDF]
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Keywords
test vector, scan chain, low power, power consumption, optimization, genetic algorithm, CMOS, AMI, ordering, correlation
Annotation
In most of existing approaches, the reorganization of test vector sequence and reordering scan chains registers to reduce power consumption are solved separately, they are seen as independent procedures. In the paper it is shown that a  correlation between these two processes and strong reasons to combine them into one procedure run concurrently exist. Based on this idea, it is demonstrated that search spaces of both procedures can be combined together into a single search space in order to achieve better results during the optimization process. The optimization over the united search space was tested on ISCAS85, ISCAS89 and ITC99 benchmark circuits implemented by means of CMOS primitives from AMI technological libraries. Results presented in the paper show that lower power consumption can be achieved if the correlation is reflected, i.e., if the search space is united rather than divided into separate spaces. At the end of the paper, results achieved by genetic algorithm based optimization are presented, discussed and compared with results of existing methods.
BibTeX:
@INPROCEEDINGS{
   author = {Zden{\v{e}}k Kot{\'{a}}sek and Jaroslav {\v{S}}karvada and
	Josef Strnadel},
   title = {The Use of Genetic Algorithm to Derive Correlation Between
	Test Vector and Scan Register Sequences and Reduce Power
	Consumption},
   pages = {644--651},
   booktitle = {Proceedings of 13th Euromicro Conference on Digital System
	Design Architectures, Methods and Tools},
   year = {2010},
   location = {Los Alamitos, US},
   publisher = {IEEE Computer Society},
   ISBN = {978-0-7695-4171-6},
   language = {english},
   url = {http://www.fit.vutbr.cz/research/view_pub.php?id=9342}
}

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