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.
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Fung, C.C., Li, JB., Myers, D.G. (2006). Evaluation of an Efficient Parallel Object Oriented Platform (EPOOP) for Control Intensive Intelligent Applications. In: Yeung, D.S., Liu, ZQ., Wang, XZ., Yan, H. (eds) Advances in Machine Learning and Cybernetics. Lecture Notes in Computer Science(), vol 3930. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11739685_93
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DOI: https://doi.org/10.1007/11739685_93
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