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dc.contributor.authorDoallo, Ramón
dc.contributor.authorFraguela, Basilio B.
dc.contributor.authorTouriño, Juan
dc.contributor.authorZapata, Emilio L.
dc.date.accessioned2019-03-26T16:22:52Z
dc.date.available2019-03-26T16:22:52Z
dc.date.issued1996
dc.identifier.citationDoallo R., Fraguela B.B., Touriño J., Zapata E.L. (1996) Parallel sparse modified Gram-Schmidt QR decomposition. In: Liddell H., Colbrook A., Hertzberger B., Sloot P. (eds) High-Performance Computing and Networking. HPCN-Europe 1996. Lecture Notes in Computer Science, vol 1067. Springer, Berlin, Heidelberges_ES
dc.identifier.isbn978-3-540-61142-4
dc.identifier.isbn978-3-540-49955-8
dc.identifier.issn0302-9743
dc.identifier.issn1611-3349
dc.identifier.urihttp://hdl.handle.net/2183/22369
dc.descriptionThis is a post-peer-review, pre-copyedit version of an article published in Lecture Notes in Computer Science. The final authenticated version is available online at: https://doi.org/10.1007/3-540-61142-8_609es_ES
dc.description.abstract[Abstract] We present a parallel computational method for the QR decomposition with column pivoting of a sparse matrix by means of Modified Gram-Schmidt orthogonalization. Nonzero elements of the matrix M to be decomposed are stored in a one-dimensional doubly linked list data structure. We discuse a strategy to reduce fill-in in order to get memory savings and decrease the computation times. As an application of QR decomposition, we describe the least squares problem. This algorithm was designed for a message passing multiprocessor and has been evaluated on a Cray T3D, using the Harwell-Boeing sparse matrix collection.es_ES
dc.description.sponsorshipComisión Interministerial de Ciencia y Tecnología; TIC92-0942-C03es_ES
dc.description.sponsorshipEuropean Commision; ERB-CHGE-CT92-0005es_ES
dc.language.isoenges_ES
dc.publisherSpringeres_ES
dc.relation.urihttps://doi.org/10.1007/3-540-61142-8_609es_ES
dc.subjectNonzero elementes_ES
dc.subjectSequential algorithmes_ES
dc.subjectSparse matricees_ES
dc.subjectLittle square problemes_ES
dc.subjectPivot elementes_ES
dc.titleParallel Sparse Modified Gram-Schmidt QR Decompositiones_ES
dc.typeinfo:eu-repo/semantics/conferenceObjectes_ES
dc.rights.accessinfo:eu-repo/semantics/openAccesses_ES
UDC.journalTitleLecture Notes in Computer Sciencees_ES
UDC.volume1067es_ES
UDC.startPage646es_ES
UDC.endPage653es_ES
dc.identifier.doi10.1007/3-540-61142-8_609
UDC.conferenceTitle4th International Conference on High-Performance Computing and Networking, HPCN'96es_ES


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