The Parallelization of the Princeton Ocean Model
Euro-Par '99 Proceedings of the 5th International Euro-Par Conference on Parallel Processing
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Environmental Modelling & Software
Operational monitoring and forecasting for marine environmental applications in the Aegean Sea
Environmental Modelling & Software
Environmental Modelling & Software
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Environmental Modelling & Software
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Environmental Modelling & Software
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This paper presents the Stony Brook Parallel Ocean Model (sbPOM) for execution on workstations, Linux clusters and massively parallel supercomputers. The sbPOM is derived from the Princenton Ocean Model (POM), a widely used community ocean circulation model. Two-dimensional data decomposition of the horizontal domain is used with a halo of ghost cells to minimize communication between processors. Communication consists of the exchange of information between neighbor processors based on the Message Passing Interface (MPI) standard interface. The Parallel-NetCDF library is also implemented to achieve a high efficient input and output (I/O). Parallel performance is tested on an IBM Blue Gene/L massively parallel supercomputer, and efficiency using up to 2048 processors remains very good.