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A Parallel and Scalable Iterative Solver for Sequences of Dense Eigenproblems Arising in FLAPW

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2014
Springer Berlin Heidelberg Berlin, Heidelberg
ISBN: 978-3-642-55194-9 (print), 978-3-642-55195-6 (electronic)

Parallel Processing and Applied Mathematics
The 10th International Conference on Parallel Processing and Applied Mathematics, PPAM 2013, WarsawWarsaw, Poland, 8 Sep 2013 - 11 Sep 20132013-09-082013-09-11
Berlin, Heidelberg : Springer Berlin Heidelberg, Lecture Notes in Computer Science 8385, 395 - 406 () [10.1007/978-3-642-55195-6_37]

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Abstract: In one of the most important methods in Density Functional Theory – the Full-Potential Linearized Augmented Plane Wave (FLAPW) method – dense generalized eigenproblems are organized in long sequences. Moreover each eigenproblem is strongly correlated to the next one in the sequence. We propose a novel approach which exploits such correlation through the use of an eigensolver based on subspace iteration and accelerated with Chebyshev polynomials. The resulting solver, parallelized using the Elemental library framework, achieves excellent scalability and is competitive with current dense parallel eigensolvers.

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Contributing Institute(s):
  1. Jülich Supercomputing Center (JSC)

Appears in the scientific report 2014
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JCR ; NationallizenzNationallizenz ; SCOPUS ; Thomson Reuters Master Journal List ; Web of Science Core Collection
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 Datensatz erzeugt am 2014-08-13, letzte Änderung am 2022-11-09


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