Abstract
We present a parallel iterative linear system solver package which is designed to run efficiently on heterogeneous and dynamically changing platforms (like workstation clusters) by applying heterogeneous data distribution and dynamic load balancing.
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References
Peter Christen. PAISS — a parallel iterative linear system solver package with dynamic load balancing. Technical report, Institut für Informatik, Universität Basel, 1998. To be published.
Scott A. Hutchinson, John N. Shadid, and Ray S. Tuminaro. Aztec User's Guide, Version 1.1. Massively Parallel Computing Research Laboratory, Sandia National Laboratories, Albuquerque, October 1995.
Brian K. Schmidt and Vaidy S. Sunderam. Empirical analysis of overheads in cluster environments. Concurrency: Practice and Experience, 6(1):1–32, February 1994.
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© 1998 Springer-Verlag Berlin Heidelberg
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Christen, P. (1998). Dynamic load balancing within a parallel iterative linear system solver. In: Sloot, P., Bubak, M., Hertzberger, B. (eds) High-Performance Computing and Networking. HPCN-Europe 1998. Lecture Notes in Computer Science, vol 1401. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0037213
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DOI: https://doi.org/10.1007/BFb0037213
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