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Parallel performance of a preconditioned CG solver for unstructured finite element applications [electronic resource].

Published
Oak Ridge, Tenn. : Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy, 1994.
Physical Description
pages 8, Paper 8 : digital, PDF file
Additional Creators
National Science Foundation (U.S.) and United States. Department of Energy. Office of Scientific and Technical Information
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Summary
A parallel unstructured finite element (FE) implementation designed for message passing MIMD machines is described. This implementation employs automated problem partitioning algorithms for load balancing unstructured grids, a distributed sparse matrix representation of the global finite element equations and a parallel conjugate gradient (CG) solver. In this paper a number of issues related to the efficient implementation of parallel unstructured mesh applications are presented. These include the differences between structured and unstructured mesh parallel applications, major communication kernels for unstructured CG solvers, automatic mesh partitioning algorithms, and the influence of mesh partitioning metrics on parallel performance. Initial results are presented for example finite element (FE) heat transfer analysis applications on a 1024 processor nCUBE 2 hypercube. Results indicate over 95% scaled efficiencies are obtained for some large problems despite the required unstructured data communication.
Report Numbers
E 1.99:conf-9404305--vol.2
conf-9404305--vol.2
Subject(s)
Other Subject(s)
Note
Published through SciTech Connect.
12/31/1994.
"conf-9404305--vol.2"
"DE96005736"
Colorado conference on iterative methods, Breckenridge, CO (United States), 5-9 Apr 1994.
Hutchinson, S.A.; Moffat, H.K.; Shadid, J.N.
Front Range Scientific Computations, Inc., Boulder, CO (United States)
USDOE, Washington, DC (United States)
Funding Information
AC04-76DP00789
View MARC record | catkey: 14352134