Abstract
In this paper we focus on how to efficiently program and use the resources of a distributed-memory parallel and vector supercomputer MEIKO CS-2 for scientific applications using CHARM message-driven parallel programming. Distributed-memory parallel computers have communication advantage and thus perform better on applications requiring large amount of communication. We show that with the CHARM message-driven parallel programming one can efficiently overlap communication and computation. Performance data on applications such as matrix multiplication and gaussian elimination show that we achieve good performance.
This research was supported in part by the National Science Foundation under grant CCR-9210568 and grant CDA-9216172.
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© 1995 Springer-Verlag Berlin Heidelberg
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Saletore, V.A., Neff, T.F. (1995). Message-driven parallel computations on the MEIKO CS-2 parallel supercomputer. In: Hertzberger, B., Serazzi, G. (eds) High-Performance Computing and Networking. HPCN-Europe 1995. Lecture Notes in Computer Science, vol 919. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0046634
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DOI: https://doi.org/10.1007/BFb0046634
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Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-59393-5
Online ISBN: 978-3-540-49242-9
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