Evaluation of a small scale cluster computing system for parallel intelligent techniques applications

Fung, C.C., Li, J.B. and Myers, D. (2005) Evaluation of a small scale cluster computing system for parallel intelligent techniques applications. In: 2005 International Conference on Machine Learning and Cybernetics, ICMLC 2005, 18-21 Aug. 2005, Guangzhou, China pp. 388-393.

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 in this paper. The reported system is a cluster of general-purpose PCs interconnected in a network. Such systems are powerful yet low cost. While such systems are not new, 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 and mobility. Hence, the goal of this research is to design a Java-based parallel platform for efficient execution of intelligent techniques for engineering and science applications on a cluster system.

Publication Type:	Conference Paper
Murdoch Affiliation:	School of Information Technology
Publisher:	IEEE
Copyright:	(c) 2005 IEEE.
Notes:	Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
URI:	http://researchrepository.murdoch.edu.au/id/eprint/605

Item Control Page

Downloads