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Spectral element methods - Algorithms and architecturesSpectral element methods are high-order weighted residual techniques for partial differential equations that combine the geometric flexibility of finite element methods with the rapid convergence of spectral techniques. Spectral element methods are described for the simulation of incompressible fluid flows, with special emphasis on implementation of spectral element techniques on medium-grained parallel processors. Two parallel architectures are considered; the first, a commercially available message-passing hypercube system; the second, a developmental reconfigurable architecture based on Geometry-Defining Processors. High parallel efficiency is obtained in hypercube spectral element computations, indicating that load balancing and communication issues can be successfully addressed by a high-order technique/medium-grained processor algorithm-architecture coupling.
Document ID
19890037442
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Fischer, Paul
(Massachusetts Inst. of Tech. Cambridge, MA, United States)
Ronquist, Einar M.
(Massachusetts Inst. of Tech. Cambridge, MA, United States)
Dewey, Daniel
(Massachusetts Inst. of Tech. Cambridge, MA, United States)
Patera, Anthony T.
(MIT Cambridge, MA, United States)
Date Acquired
August 14, 2013
Publication Date
January 1, 1988
Subject Category
Numerical Analysis
Meeting Information
Meeting: International Symposium on Domain Decomposition Methods for Partial Differential Equations
Location: Paris
Country: France
Start Date: January 7, 1987
End Date: January 9, 1987
Accession Number
89A24813
Funding Number(s)
CONTRACT_GRANT: NAG1-574
CONTRACT_GRANT: N00014-85-K-0208
CONTRACT_GRANT: NSF DMC-87-04357
Distribution Limits
Public
Copyright
Other

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