A decomposition method for efficient use of distributed supercomputers for finite element applications

The interconnection of geographically distributed supercomputers via high-speed networks makes available the needed compute power for large-scale scientific applications, such as finite element applications. In this paper the authors propose a two-level data decomposition method for efficient execut...

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Bibliographic Details
Main Authors: Taylor, V.E., Chen, J., Canfield, T., Stevens, R.
Format: Conference Proceeding
Language:English
Subjects:
COMPUTER NETWORKS
DISTRIBUTED DATA PROCESSING
FINITE ELEMENT METHOD
MATHEMATICS, COMPUTERS, INFORMATION SCIENCE, MANAGEMENT, LAW, MISCELLANEOUS
NONLINEAR PROBLEMS
SUPERCOMPUTERS
USES
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Summary:The interconnection of geographically distributed supercomputers via high-speed networks makes available the needed compute power for large-scale scientific applications, such as finite element applications. In this paper the authors propose a two-level data decomposition method for efficient execution of finite element applications on a network of supercomputers. The method exploits the following features that may be different for each supercomputer in the system: processor speed, number of processors used from each supercomputer, local network performance, wide area network performance and wide area topology. Preliminary experiments involving a nonlinear, finite element application executed on a network of two supercomputers, one located at Argonne National Laboratory and the other one at the Cornell Theory Center, demonstrate a 20% reduction in execution time when the proposed decomposition is used as compared with naively applying conventional decompositions that are applicable to single supercomputers.
ISSN:1063-6862