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A parallel implementation of Davidson methods for large-scale eigenvalue problems in SLEPc

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A parallel implementation of Davidson methods for large-scale eigenvalue problems in SLEPc

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dc.contributor.author Romero Alcalde, Eloy es_ES
dc.contributor.author Román Moltó, José Enrique es_ES
dc.date.accessioned 2015-04-01T10:41:18Z
dc.date.available 2015-04-01T10:41:18Z
dc.date.issued 2014-02
dc.identifier.issn 0098-3500
dc.identifier.uri http://hdl.handle.net/10251/48627
dc.description.abstract In the context of large-scale eigenvalue problems, methods of Davidson type such as Jacobi-Davidson can be competitive with respect to other types of algorithms, especially in some particularly difficult situations such as computing interior eigenvalues or when matrix factorization is prohibitive or highly inefficient. However, these types of methods are not generally available in the form of high-quality parallel implementations, especially for the case of non-Hermitian eigenproblems. We present our implementation of various Davidson-type methods in SLEPc, the Scalable Library for Eigenvalue Problem Computations. The solvers incorporate many algorithmic variants for subspace expansion and extraction, and cover a wide range of eigenproblems including standard and generalized, Hermitian and non-Hermitian, with either real or complex arithmetic. We provide performance results on a large battery of test problems. es_ES
dc.description.sponsorship This work was supported by the Spanish Ministerio de Ciencia e Innovacion under project TIN2009-07519. Author's addresses: E. Romero, Institut I3M, Universitat Politecnica de Valencia, Cami de Vera s/n, 46022 Valencia, Spain), and J. E. Roman, Departament de Sistemes Informatics i Computacio, Universitat Politecnica de Valencia, Cami de Vera s/n, 46022 Valencia, Spain; email: jroman@dsic.upv.es. en_EN
dc.language Inglés es_ES
dc.publisher Association for Computing Machinery (ACM) es_ES
dc.relation Spanish Ministerio de Ciencia e Innovacion [TIN2009-07519] es_ES
dc.relation.ispartof ACM Transactions on Mathematical Software es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Eigenvalue computations es_ES
dc.subject Davidson es_ES
dc.subject Jacobi-Davidson es_ES
dc.subject SLEPc es_ES
dc.subject Message-passing parallelization es_ES
dc.subject.classification CIENCIAS DE LA COMPUTACION E INTELIGENCIA ARTIFICIAL es_ES
dc.title A parallel implementation of Davidson methods for large-scale eigenvalue problems in SLEPc es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1145/2543696
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto de Instrumentación para Imagen Molecular - Institut d'Instrumentació per a Imatge Molecular es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació es_ES
dc.description.bibliographicCitation Romero Alcalde, E.; Román Moltó, JE. (2014). A parallel implementation of Davidson methods for large-scale eigenvalue problems in SLEPc. ACM Transactions on Mathematical Software. 40(2):13:01-13:29. doi:10.1145/2543696 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://dx.doi.org/10.1145/2543696 es_ES
dc.description.upvformatpinicio 13:01 es_ES
dc.description.upvformatpfin 13:29 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 40 es_ES
dc.description.issue 2 es_ES
dc.relation.senia 260428
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