METHODS OF SOLVING OPERATOR EIGENPROBLEMS IN PARALLEL DISTRIBUTED MEMORY SYSTEMS AS APPLIED IN ELECTROMAGNETICS

This study presents numerical methods of solving operator eigenproblems, focusing on their applications in electromagnetics. The discussion concentrates on the analysis of new iterative algorithms or modifications of the existing ones, which are capable of finding a few eigenvalues from the point s...

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Main Author: MICHAŁ REWIEŃSKI
Format: Article
Language:English
Published: Gdańsk University of Technology 1998-10-01
Series:TASK Quarterly
Subjects:
Online Access:https://journal.mostwiedzy.pl/TASKQuarterly/article/view/2386
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author MICHAŁ REWIEŃSKI
author_facet MICHAŁ REWIEŃSKI
author_sort MICHAŁ REWIEŃSKI
collection DOAJ
description This study presents numerical methods of solving operator eigenproblems, focusing on their applications in electromagnetics. The discussion concentrates on the analysis of new iterative algorithms or modifications of the existing ones, which are capable of finding a few eigenvalues from the point spectrum of a non-symmetric operator. The salient feature of the considered methods is a low computational cost and memory complexity as compared to alternative solutions. This paper also presents implementations of the investigated algorithms in parallel distributed memory systems, based on the message-passing parallel programming model and providing portable parallel eigensolvers. The discussion of the applied designs of the parallel algorithms is supported by the presentation of the results of performance tests in selected distributed memory environments, including scalable parallel supercomputer systems and networks of workstations. The results of these tests confirm high efficiency of the eigensolvers in the considered parallel environments. In this study attention is also drawn to the question of the applicability of the eigensolvers to problems of modelling of electromagnetic fields in dielectric waveguides. The results of numerical tests validating the methods in these applications determine the scope of problems which may be most effectively solved using the specific eigensolvers.
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spelling doaj.art-47a625959371499a9d4101a800db90ae2022-12-22T02:52:57ZengGdańsk University of TechnologyTASK Quarterly1428-63941998-10-0124METHODS OF SOLVING OPERATOR EIGENPROBLEMS IN PARALLEL DISTRIBUTED MEMORY SYSTEMS AS APPLIED IN ELECTROMAGNETICSMICHAŁ REWIEŃSKI0Technical University of Gdansk, Faculty of Electronics, Telecommunications and Computer Science This study presents numerical methods of solving operator eigenproblems, focusing on their applications in electromagnetics. The discussion concentrates on the analysis of new iterative algorithms or modifications of the existing ones, which are capable of finding a few eigenvalues from the point spectrum of a non-symmetric operator. The salient feature of the considered methods is a low computational cost and memory complexity as compared to alternative solutions. This paper also presents implementations of the investigated algorithms in parallel distributed memory systems, based on the message-passing parallel programming model and providing portable parallel eigensolvers. The discussion of the applied designs of the parallel algorithms is supported by the presentation of the results of performance tests in selected distributed memory environments, including scalable parallel supercomputer systems and networks of workstations. The results of these tests confirm high efficiency of the eigensolvers in the considered parallel environments. In this study attention is also drawn to the question of the applicability of the eigensolvers to problems of modelling of electromagnetic fields in dielectric waveguides. The results of numerical tests validating the methods in these applications determine the scope of problems which may be most effectively solved using the specific eigensolvers. https://journal.mostwiedzy.pl/TASKQuarterly/article/view/2386operator eigenproblemsparallel numerical methodscomputational electromagneticsboundary value problems
spellingShingle MICHAŁ REWIEŃSKI
METHODS OF SOLVING OPERATOR EIGENPROBLEMS IN PARALLEL DISTRIBUTED MEMORY SYSTEMS AS APPLIED IN ELECTROMAGNETICS
TASK Quarterly
operator eigenproblems
parallel numerical methods
computational electromagnetics
boundary value problems
title METHODS OF SOLVING OPERATOR EIGENPROBLEMS IN PARALLEL DISTRIBUTED MEMORY SYSTEMS AS APPLIED IN ELECTROMAGNETICS
title_full METHODS OF SOLVING OPERATOR EIGENPROBLEMS IN PARALLEL DISTRIBUTED MEMORY SYSTEMS AS APPLIED IN ELECTROMAGNETICS
title_fullStr METHODS OF SOLVING OPERATOR EIGENPROBLEMS IN PARALLEL DISTRIBUTED MEMORY SYSTEMS AS APPLIED IN ELECTROMAGNETICS
title_full_unstemmed METHODS OF SOLVING OPERATOR EIGENPROBLEMS IN PARALLEL DISTRIBUTED MEMORY SYSTEMS AS APPLIED IN ELECTROMAGNETICS
title_short METHODS OF SOLVING OPERATOR EIGENPROBLEMS IN PARALLEL DISTRIBUTED MEMORY SYSTEMS AS APPLIED IN ELECTROMAGNETICS
title_sort methods of solving operator eigenproblems in parallel distributed memory systems as applied in electromagnetics
topic operator eigenproblems
parallel numerical methods
computational electromagnetics
boundary value problems
url https://journal.mostwiedzy.pl/TASKQuarterly/article/view/2386
work_keys_str_mv AT michałrewienski methodsofsolvingoperatoreigenproblemsinparalleldistributedmemorysystemsasappliedinelectromagnetics