An Implementation of Coincidence Algorithm on Graphic Processing Units
Department of Computer Engineering, Chulalongkorn University Bangkok, Thailand
International Joint Conference on Computer Science and Software Engineering (JCSSE), 2012
@inproceedings{tongsiri2012implementation,
title={An implementation of Coincidence Algorithm on Graphic Processing Units},
author={Tongsiri, T. and Chongstitvatana, P.},
booktitle={Computer Science and Software Engineering (JCSSE), 2012 International Joint Conference on},
pages={126–130},
year={2012},
organization={IEEE}
}
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.
August 27, 2012 by hgpu
