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Civil-Comp Proceedings
ISSN 1759-3433
CCP: 20
Edited by: B.H.V. Topping and M. Papadrakakis
Paper IV.3

A Comparison of Problem Partitioning Algorithms for the Intel Paragon

B. Hendrickson and R. Leland

Sandia National Laboratories, Albuquerque, United States of America

Full Bibliographic Reference for this paper
B. Hendrickson, R. Leland, "A Comparison of Problem Partitioning Algorithms for the Intel Paragon", in B.H.V. Topping, M. Papadrakakis, (Editors), "Advances in Parallel and Vector Processing for Structural Mechanics", Civil-Comp Press, Edinburgh, UK, pp 133-137, 1994. doi:10.4203/ccp.20.4.3
To solve finite element or finite difference problems on parallel computers the data structures must be decomposed and partitioned among the processors. Efficient execution requires that this decomposition balance the computational load while minimizing the interprocessor communication. We empirically compare a variety of algorithms for this problem using Chaco, a publically available partitioning tool written by the authors. Algorithms are evaluated in terms of their computational cost and the quality of the partition as judged by the execution time of the application on the Intel Paragon parallel super computer.

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