Conference paper
Evaluation of a small scale cluster computing system for parallel intelligent techniques applications
IEEE
2005 International Conference on Machine Learning and Cybernetics, ICMLC 2005 (Guangzhou, China, 18/08/2005–21/08/2005)
2005
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.
Details
- Title
- Evaluation of a small scale cluster computing system for parallel intelligent techniques applications
- Authors/Creators
- C.C. Fung (Author/Creator)J.B. Li (Author/Creator)D. Myers (Author/Creator)
- Conference
- 2005 International Conference on Machine Learning and Cybernetics, ICMLC 2005 (Guangzhou, China, 18/08/2005–21/08/2005)
- Publisher
- IEEE
- Identifiers
- 991005543983407891
- Copyright
- © 2005 IEEE
- Murdoch Affiliation
- School of Information Technology
- Language
- English
- Resource Type
- Conference paper
- Note
- 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.
Metrics
364 File views/ downloads
60 Record Views