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Fifth IEEE Symposium on Computers and Communications (ISCC 2000)
Comparative Study of Parallel vs. Distributed Genetic Algorithm Implementation for ATM Networking Environment
Antibes, France
July 04-July 06
ISBN: 0-7695-0722-0
AlaaEldin Sleem, University of Louisville
Moumen Ahmed, University of Louisville
Anup Kumar, University of Louisville
Khaled Kamel, University of Louisville
The objectives of this effort are: 1) to provide a faster (parallel) implementation to a previously implemented ATM network design simulator [1], and 2) to compare two different PDC architectures in order to select one to be the architecture for this new parallel version. To improve the performance of the previously implemented GA. two parallel versions are developed using two different approaches. The first is using Message Passing Interface (MPI) function calls embedded in C--programs on a network of workstations. The second version is developed for a multi-processor system using a CAC-Parallel compiler.This paper describes the approaches used to develop the parallel versions, the design of parallel applications and the results of all the experiments that were done to study the effect of all the design parameters on systems performance.
Citation:
AlaaEldin Sleem, Moumen Ahmed, Anup Kumar, Khaled Kamel, "Comparative Study of Parallel vs. Distributed Genetic Algorithm Implementation for ATM Networking Environment," iscc, pp.152, Fifth IEEE Symposium on Computers and Communications (ISCC 2000), 2000
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