The symmetric tridiagonal eigenproblem on a shared memory multiprocessor: Part II

dc.contributor.authorKaya, D
dc.date.accessioned2026-08-12T17:43:25Z
dc.date.issued2005
dc.departmentFırat Üniversitesi
dc.description.abstractThe article presents an experimental evaluation of the effect of deflation on accuracy. A number of test matrices were used to test Cuppen's algorithm since the amount of deflation in this method depends oil the test matrix. The motivation for a non-recursive version was to compare this with the recursive version and to investigate the relationship between the recursive and non-recursive implementations of Cuppen's divide-andconquer method. Empirical comparison was carried Out using C++ and the THREADS package on a shared memory Encore Multimax multiprocessor. The algorithms illustrate the advantages of parallel algorithms using dynamic allocation of tasks to THREADs on this shared memory machine. (C) 2004 Elsevier Inc. All rights reserved.
dc.identifier.doi10.1016/j.amc.2004.01.026
dc.identifier.endpage244
dc.identifier.issn0096-3003
dc.identifier.issn1873-5649
dc.identifier.issue1
dc.identifier.scopus2-s2.0-12444259769
dc.identifier.scopusqualityQ1
dc.identifier.startpage213
dc.identifier.urihttps://doi.org/10.1016/j.amc.2004.01.026
dc.identifier.urihttps://hdl.handle.net/11508/60126
dc.identifier.volume163
dc.identifier.wosWOS:000227044000020
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherElsevier Science Inc
dc.relation.ispartofApplied Mathematics and Computation
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WoS_20260511
dc.subjectthe symmetric tridiagonal eigenproblem
dc.subjectCuppen's rnethod
dc.subjectparallel computation
dc.subjecta shared memory Encore Multimax multiprocessor
dc.titleThe symmetric tridiagonal eigenproblem on a shared memory multiprocessor: Part II
dc.typeArticle

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