Evaluation of an efficient parallel object oriented platform (EPOOP) for control intensive intelligent applications

Authors:
Chun Che Fung;Jia-Bin Li;Douglas G. Myers
Affiliations:
Centre for Enterprise Collaboration in Innovative Systems, School of Information Technology, Murdoch University, Murdoch, Western Australia;Centre for Enterprise Collaboration in Innovative Systems, School of Information Technology, Murdoch University, Murdoch, Western Australia;Department of Electrical and Computer Engineering, Curtin University of Technology, Bentley, Western Australia
Venue:
ICMLC'05 Proceedings of the 4th international conference on Advances in Machine Learning and Cybernetics
Year:
2005

Citing 3
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Memory coherence in shared virtual memory systems

ACM Transactions on Computer Systems (TOCS)
A Java-based parallel platform for the implementation of evolutionary computation for engineering applications

International Journal of Systems Science

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Abstract

A small scale distributed computing system that is able to meet the needs of parallel intelligent techniques for engineering and science applications is reported. The system is a cluster of powerful yet low cost general-purpose PCs interconnected in a network. While, most applications written for cluster systems are programmed in MPI-C, results from the proposed system have shown that it is advantageous to use Java due to its simplicity, distribution enabling, and mobility. These results suggest there are advantages in considering a Java-enhanced cluster platform for many engineering and science applications.