In this paper we present the parallel implementation of the Princeton Ocean Model (POM) using message passing. Domain decomposition techniques are used for the horizontal discretization whereas in the vertical direction each column per grid point is computed. The required interprocessor communication was implemented on the PVM message passing library. Three different data partitioning schemes are studied. It is found that the checkerboard partitioning produces the best results when the number of processors becomes larger than 15, otherwise row block striped partitioning is to be preferred. © Springer-Verlag Berlin Heidelberg 1999.
CITATION STYLE
Boukas, L. A., Mimikou, N. T., Missirlis, N. M., Mellor, G. L., Lascaratos, A., & Korres, G. (1999). The parallelization of the Princeton Ocean Model. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1685 LNCS, pp. 1395–1402). Springer Verlag. https://doi.org/10.1007/3-540-48311-x_196
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