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The paper is devoted to a distributed memory parallel implementation of a finite difference Eulerian global atmospheric model utilizing semi-implicit time stepping algorithm. The applied two-dimensional checkerboard partitioning of data in horizontal plane necessitates boundary exchanges between the neighboring processors all over the model code and multiple transpositions in the Helmholtz equation solver. Nevertheless, quite reasonable performance has been attained on a set of cluster multiprocessors.

Parallel Implementation of the INM Atmospheric General Circulation Model on Distributed Memory Multiprocessors