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Titel:

ELPA: A Parallel Solver for the Generalized Eigenvalue Problem

Dokumenttyp:
Konferenzbeitrag
Art des Konferenzbeitrags:
Textbeitrag / Aufsatz
Autor(en):
Hans-Joachim Bungartz; Christian Carbogno; Martin Galgon; Thomas Huckle; Simone Köcher; Hagen-Henrik Kowalski; Pavel Kus; Bruno Lang; Hermann Lederer; Valeriy Manin; Andreas Marek; Karsten Reuter; Michael Rippl; Matthias Scheffler; Christoph Scheurer
Seitenangaben Beitrag:
647-668
Abstract:
For symmetric (hermitian) (dense or banded) matrices the computation of eigenvalues and eigenvectors $Ax=\lambda Bx$ is an important task, e.g. in electronic structure calculations. If a larger number of eigenvectors are needed, often direct solvers are applied. On parallel architectures the ELPA implementation has proven to be very efficient, also compared to other parallel solvers like EigenExa or MAGMA. The main improvement that allows better parallel efficiency in ELPA is the two-step trans...     »
Kongress- / Buchtitel:
Advances in Parallel Computing
Kongress / Zusatzinformationen:
Parallel Computing Conference 2019
Band / Teilband / Volume:
36
Publikationsdatum:
24.03.2020
Jahr:
2020
Quartal:
1. Quartal
Jahr / Monat:
2020-03
Monat:
Mar
Print-ISBN:
978-1-64368-070-5
E-ISBN:
978-1-64368-071-2
Reviewed:
ja
Sprache:
en
WWW:
http://ebooks.iospress.nl/volume/parallel-computing-technology-trends
TUM Einrichtung:
Department of Informatics
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