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High performance computing on a cluster of workstations

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2 Author(s)
A. L. Cheung ; Sch. of Electr. Eng., Cornell Univ., Ithaca, NY, USA ; A. P. Reeves

The effective utilization of a cluster of workstations for the implementation of a scientific application requires a highly flexible software environment. The characteristics of such an environment are considered and two novel data distribution aspects of this environment are explored. The performance of a distributed memory multicomputer, such as a workstation cluster, is very sensitive to the strategy used to distribute data to the processors. A performance prediction scheme is presented which could be incorporated into a compiler to determine the best data distribution for a given program and system. For heterogeneous systems a data distribution strategy has been developed which takes into account the different capabilities of the processors. A number of experiments have been conducted on workstation clusters to demonstrate these software techniques

Published in:

High-Performance Distributed Computing, 1992. (HPDC-1), Proceedings of the First International Symposium on

Date of Conference:

9-11 Sep 1992