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Titel:

Parallel Eigenvalue Computation for Banded Generalized Eigenvalue Problems

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
Rippl, Michael; Lang, Bruno; Huckle, Thomas
Abstract:
We consider generalized eigenvalue problems $Ax=Bx\lambda$ with banded hermitian matrix $A$ and hermitian positive definite $B$. To reduce the generalized eigenvalue problem to standard form $Cy=y\lambda$ the algorithm proposed by Crawford is applied preserving the banded structure in $C$. We present a parallel implementation of this method included in the ELPA library. Numerical experiments show the advantages of this approach compared to standard solvers.
Kongresstitel:
International Workshop on Parallel Matrix Algorithms and Applications
Zeitschriftentitel:
Parallel Computing
Jahr:
2019
Band / Volume:
88
Jahr / Monat:
2019-04
Quartal:
2. Quartal
Monat:
Apr
Seitenangaben Beitrag:
102542
Reviewed:
ja
Sprache:
en
Volltext / DOI:
doi:10.1016/j.parco.2019.07.002
WWW:
https://www.sciencedirect.com/science/article/pii/S0167819119301279
Verlag / Institution:
Elsevier
Status:
Verlagsversion / published
Angenommen (von Zeitschrift):
29.07.2019
Publikationsdatum:
04.08.2019
TUM Einrichtung:
Department of Informatics
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