Parallel Computing for Water Quality Equation Based on JPPF

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In order to meet the requirement to quickly solve the water quality equation for an unexpected water pollution incident, this dissertation, based on the paralleled algorithm under Java Parallel Processing Framework (JPPF), does research about the process to dynamically decomposes the iterative process into calculation tasks and distribute the tasks by the API of JPPF to the paralleled nodes for calculation. And the simulation result of one-dimension water quality equation shows that parallel computing method could reduce the time complexity from to , not only resulting in a significant improvement in calculation speed, but in a higher reliability and stability.

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Edited by:

Xiaochun Tang, Wei Zhong, Dachang Zhuang, Chunsheng Li and Yanyan Liu

Pages:

2061-2068

Citation:

L. F. Zhao et al., "Parallel Computing for Water Quality Equation Based on JPPF", Applied Mechanics and Materials, Vols. 295-298, pp. 2061-2068, 2013

Online since:

February 2013

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$38.00

[1] Ian Foster. The Grid : Blueprint for a New Computing Infrastructure [M]. Morgan- Kaufmann Publisher, San Francisco. CA, ISBN 1-55860-475-8.

[2] http: /www. google. com.

[3] Pang Hui, Fang Zongde. Computer Integrated Manufacturing Systems. 2008. 14(3).

[4] Guoyi Zhang. Journal of System Simulation. 200416(12): 2673-2679.

[5] Jian Ou. Journal of Jiangsu University. 2009;30(5): 518-522.

[6] Zhanfeng Cui, Xiaofeng Zhang. Engineering Journal of Wuhan University, 2005, 38 (5) : 24- 29.

[7] Yiming Zuo. Advances in Water Science,2008;19(6): 846-850.

[8] Xiaosong Jiang, Jianjun Liu. Journal of Aerospace Power, 2007, 22 (12) : 2043-(2049).

[9] http: /www. jppf. org.

[10] Jing Xiong, Jianliang Wang. Research of Distributed Parallel Information Retrieval Based on JPPF. 2010 International Conference of Information Science and Management Engineering.

DOI: https://doi.org/10.1109/isme.2010.31

[11] Shengyong Liu. Shipping Management,2004;27(4): 33-35.

[12] C. Xavier S.S. Iyengar. Introduction to Parallel Computing. Beijing:China Machine PRESS, 2004. 2.