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Data-parallel programming on a network of heterogeneous workstations

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2 Author(s)
N. Nedeljkovic ; Dept. of Comput. Sci., Oregon State Univ., Corvallis, OR, USA ; M. J. Quinn

The authors describe a compiler and run-time system that allows data-parallel programs to execute on a network of heterogeneous UNIX workstations. The programming language supported is Dataparallel C, a SIMD language with virtual processors and a global name space. This parallel programming environment allows the user to take advantage of the power of multiple workstations without adding any message-passing calls to the source program. Because the performance of individual workstations in a multi-user environment may change during the execution of a Dataparallel C program, the run-time system automatically performs dynamic load balancing. The authors present experimental results that demonstrate the usefulness of dynamic load balancing in a multi-user environment

Published in:

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

Date of Conference:

9-11 Sep 1992