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Eigenvalue spectrum estimation and photonic crystals

Thomas, Ken S., Cox, Simon J., Beckett, Duan H., Hiett, Ben P., Generowicz, Jasek and Daniell, Geoffrey J. (2001) Eigenvalue spectrum estimation and photonic crystals In, Euro-Par 2001: Parallel Processing: 7th International Euro-Par Conference. 7th International Euro-Par Conference Berlin, Germany, Springer pp. 578-586. (Lecture Notes in Computer Science, 2150).

Record type: Book Section

Abstract

We have developed an algorithm for the estimation of eigenvalue spectra and have applied it to the determination of the density of states in a photonic crystal, which requires the repeated solution of a generalized eigenvalue problem. We demonstrate that the algorithm offers significant advantages in time, memory, and ease of parallelization over conventional subspace iteration algorithms. In particular it is possible to obtain more than two orders of magnitude speedup in time over subspace methods for modestly sized matrices. For larger matrices the savings are even greater, whilst retaining accurate resolution of features of the eigenspectrum

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More information

Published date: 2001
Additional Information: Series ISSN 0302-9743
Venue - Dates: 7th International Euro-Par Conference, 2001-08-28 - 2001-08-31

Identifiers

Local EPrints ID: 21951
URI: http://eprints.soton.ac.uk/id/eprint/21951
ISBN: 3540424954
PURE UUID: cedd1ba9-3cb7-4f7a-a332-0d7e73052cff

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Date deposited: 02 Mar 2007
Last modified: 17 Jul 2017 16:24

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Contributors

Author: Ken S. Thomas
Author: Simon J. Cox
Author: Duan H. Beckett
Author: Ben P. Hiett
Author: Jasek Generowicz
Author: Geoffrey J. Daniell

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