Parallel processing technology was applied to accelerate the calculation speed of the water quality forecasting model. The parallel algorithm proposed was based on the message-passing interface (MPI). It mainly aims at enhancing the computation speed of the water quality forecasting model of Jiaozhou Bay, and decomposes the material transport issue into many sub-duties. The model was run in a MPI message cluster system. The result indicates that, by using this method, the computation efficiency for solving material transportation module is increased by approximately more than 60%.
Huang, W., Niu, P. and Du, W. (2011), "Application of message-passing interface technology to water quality forecasting model of Jiaozhou Bay", World Journal of Engineering, Vol. 8 No. 4, pp. 395-398. https://doi.org/10.1260/1708-52220.127.116.115Download as .RIS
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