Abstract

This paper outlines the general considerations to be taken into account when a network of heterogeneous workstations is used for scientific parallel computing. Special emphasis is made on already installed networks of workstations, which provide a zero cost parallel computer at least in hardware. Existing matrix multiplication algorithms are analyzed, taking them as representative enough for this application area. A new algorithm is proposed in order to take advantage of the specific characteristics of networks of workstations. This parallel multiplication algorithm is presented, and its performance is shown by preliminary experimentation using the PVM library to construct a parallel (virtual) computer from a network of workstations. Also, new features concerning data communication performance are identified from the execution profile of the experiments.

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