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Solving partial differential equations on a network of workstations

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5 Author(s)
Chi-Chung Hui ; Dept. of Comput. Sci., Hong Kong Univ. of Sci. & Technol, Kowloon, Hong Kong ; Ka-Keung Chan, G. ; Man-Sheung Yuen, M. ; Hamdi, M.
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The use of a network of workstations as a single unit for speeding up computationally intensive applications is becoming a cost-effective alternative to traditional parallel computers. We present the implementation of an application-driven parallel platform for solving partial differential equations (PDEs) on this computing environment. The platform provides a general and efficient parallel solution for time-dependent PDEs and an easy-to-use interface that allows the inclusion of a wide range of parallel programming tools. We have used two different parallelization methods in this platform. The first method is a two-phase algorithm which uses the conventional technique of alternating computation and communication phases. The second method uses a novel pre-computation technique which allows overlapping of computation and communication. Both methods yield significant speedup. However the pre-computation technique is shown to be more efficient and scalable

Published in:

High Performance Distributed Computing, 1994., Proceedings of the Third IEEE International Symposium on

Date of Conference:

2-5 Aug 1994

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