Abstract
Massively parallel computers are becoming quite common in their use in computational fluid dynamics. In this study, a parallel algorithm of a 3-D primitive-equation coastal ocean circulation model is designed on the hypercube MIMD computer architecture. The grid is partitioned using one-dimensional domain decomposition. The code is tested in a uniform rectangular grid problem for which the model domain in each node is a cube. For the problem where the grain size (n y ) is fixed, the speedup is linear and is close to ideal forP ⩽ 8 processors. The overhead (F C ) increases as the number of processors increases. The background overhead is inversely proportional to the size of the grain. The slopeF C vs.P is a measure of the fraction of non-parallel code. For the problem where the domain is fixed, the speedup is 7.8 using 8-processors and 29.6 using 32-processors. The overhead increases linearly withP. The slopeF C is a measure of the communication cost. The load balancing problem is examined for a model of the Gulf of California whose computational domain is irregular.
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Gómez-Valdés, J., Wang, DP. Massively parallel processing in coastal ocean circulation model. J Sci Comput 10, 305–323 (1995). https://doi.org/10.1007/BF02091778
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DOI: https://doi.org/10.1007/BF02091778