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Modal and interior nodal masters in parallel condensation methods for generalized eigenvalue problems
Citation Link: https://doi.org/10.15480/882.179
Publikationstyp
Working Paper
Date Issued
1997-04
Sprache
English
Author(s)
Voß, Heinrich
Institut
TORE-DOI
For large-scale eigenvalue problems the authors introduced in [4] a coarse grained parallel algorithm for distributed memory computers based on substructuring and static condensation. The approach can be generalized to non-nodal masters if the support of each of the generalized masters is contained in the interior of one substructure. In this note we demonstrate that modal masters are superior to interior nodal masters.
Subjects
eigenvalue problems
condensation
parallel methods
DDC Class
510: Mathematik
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