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Proceedings of The Fifth International Symposium on Parallel and Distributed Computing (ISPDC'06)
Parallel Implementation in PC Clusters of a Lanczos-based Algorithm for an Electromagnetic Eigenvalue Problem
Timisoara, Romania
July 06-July 09
ISBN: 0-7695-2638-1
ASCII Text
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Miguel Oscar Bernabeu, Mariam Taroncher, Victor M. Garcia, Ana Vidal, "Parallel Implementation in PC Clusters of a Lanczos-based Algorithm for an Electromagnetic Eigenvalue Problem," Parallel and Distributed Computing, International Symposium on, pp. 296-300, Proceedings of The Fifth International Symposium on Parallel and Distributed Computing (ISPDC'06), 2006.
 
 
BibTex
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@article{ 10.1109/ISPDC.2006.39,
author = {Miguel Oscar Bernabeu and Mariam Taroncher and Victor M. Garcia and Ana Vidal},
title = {Parallel Implementation in PC Clusters of a Lanczos-based Algorithm for an Electromagnetic Eigenvalue Problem},
journal ={Parallel and Distributed Computing, International Symposium on},
volume = {0},
year = {2006},
isbn = {0-7695-2638-1},
pages = {296-300},
doi = {http://doi.ieeecomputersociety.org/10.1109/ISPDC.2006.39},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Parallel and Distributed Computing, International Symposium on
TI - Parallel Implementation in PC Clusters of a Lanczos-based Algorithm for an Electromagnetic Eigenvalue Problem
SN - 0-7695-2638-1
SP296
EP300
A1 - Miguel Oscar Bernabeu,
A1 - Mariam Taroncher,
A1 - Victor M. Garcia,
A1 - Ana Vidal,
PY - 2006
KW - null
VL - 0
JA - Parallel and Distributed Computing, International Symposium on
ER -
 
Miguel Oscar Bernabeu, Universidad Politecnica de Valencia, Spain
Mariam Taroncher, Universidad Politecnica de Valencia, Spain
Victor M. Garcia, Universidad Politecnica de Valencia, Spain
Ana Vidal, Universidad Politecnica de Valencia, Spain
This paper describes a parallel implementation of a Lanczos-based method to solve generalised eigenvalue problems related to the modal computation of arbitrarily shaped waveguides. This efficient implementation is intended for execution in moderate-low cost workstations (2 to 4 processors). The problem under study has several features: the involved matrices are sparse with a certain structure, and all the eigenvalues needed are contained in a given interval. The novel parallel algorithms proposed show excellent speed-up for small number of processors.
Citation:
Miguel Oscar Bernabeu, Mariam Taroncher, Victor M. Garcia, Ana Vidal, "Parallel Implementation in PC Clusters of a Lanczos-based Algorithm for an Electromagnetic Eigenvalue Problem," ispdc, pp.296-300, Proceedings of The Fifth International Symposium on Parallel and Distributed Computing (ISPDC'06), 2006
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