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

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

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Bibliographic Details
Main Authors: Taylor, V.E., Chen, J., Canfield, T., Stevens, R.
Format: Conference Proceeding
Language:English
Subjects:
Delay
Distributed computing
Finite element methods
Laboratories
Large-scale systems
Network topology
Supercomputers
Virtual prototyping
Visualization
Wide area networks
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Summary:The interconnection of geographically distributed supercomputers via highspeed networks makes available the needed compute power for large-scale scientific applications, such as finite element applications. In this paper we propose a two-level data decomposition method for efficient execution of finite element applications on a network of supercomputers. Our 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:2160-0511
2160-052X
DOI:10.1109/ASAP.1996.542797