Two-dimensional arrays are useful in a large variety of scienti c and engineering applications. Parallelization of these applications requires the decomposition of array elements among di erent machines. Several data-decomposition techniques have been studied in the literature for machines with uniform computational power. In this paper we develop new methods for decomposing arrays into a cluster of machines with nonuniform computational power. Simulation results show that our methods provide superior decomposition over naive schemes.

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