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An implementation of Coincidence Algorithm on Graphic Processing Units

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2 Author(s)
Tongsiri, T. ; Dept. of Comput. Eng., Chulalongkorn Univ., Bangkok, Thailand ; Chongstitvatana, P.

Genetic Algorithms (GAs) are powerful search techniques. However when they are applied to complex problems, they consume large computation power. One of the choices to make them faster is to use a parallel implementation. This paper presents a parallel implementation of Combinatorial Optimisation with Coincidence Algorithm (COIN) on Graphic Processing Units. COIN is a modern GA. It has a wide range of applications. The result from the experiment shows a good speedup in comparison to a sequential implementation on modern processors.

Published in:
Computer Science and Software Engineering (JCSSE), 2012 International Joint Conference on

Date of Conference: May 30 2012-June 1 2012

Page(s):
126 - 130
Print ISBN:
978-1-4673-1920-1
INSPEC Accession Number:
12932824
Conference Location :
Bangkok
Digital Object Identifier :
10.1109/JCSSE.2012.6261938
Product Type:
Conference Publications

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