Application of message-passing interface technology to water quality forecasting model of Jiaozhou Bay

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%.