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dc.contributor.authorTouriño, Juan
dc.contributor.authorDoallo, Ramón
dc.contributor.authorZapata, E.L.
dc.date.accessioned2019-05-03T14:57:56Z
dc.date.available2019-05-03T14:57:56Z
dc.date.issued1996-06-01
dc.identifier.citationTOURINO, Juan; DOALLO, Ramon; ZAPATA, Emilio L. Sparse givens QR factorization on a multiprocessor. En 2nd. Int'l. Conf. on Massively Parallel Computing Systems, Ischia, Italy. 1996.es_ES
dc.identifier.isbn978-0818676000
dc.identifier.urihttp://hdl.handle.net/2183/22818
dc.description.abstract[Abstract] We present a parallel algorithm for the QR factorization with column pivoting of a sparse matrix by means of Givens rotations. Nonzero elements of the matrix M to be decomposed are stored in a one dimensional doubly linked list data struct1tre. We will discuss a strategy to reduce fill-in in order to gain memory savings and decrease the computation times. As an application of QR factorization, we will describe the least squares problem. This algorithm has been designed for a message passing multiprocessor and we have evaluated it on the Cray T3D supercomputer using the Harwell-Boeing sparse matrix collection.es_ES
dc.language.isoenges_ES
dc.publisherIEEE Computer Societyes_ES
dc.subjectParallel algorithmes_ES
dc.subjectQR factorizationes_ES
dc.subjectSupercomputeres_ES
dc.titleSparse Givens QR Factorization on a Multiprocessores_ES
dc.typeinfo:eu-repo/semantics/conferenceObjectes_ES
dc.typeinfo:eu-repo/semantics/conferenceObjectes_ES
dc.rights.accessinfo:eu-repo/semantics/openAccesses_ES
UDC.startPage524es_ES
UDC.endPage529es_ES
UDC.conferenceTitle2nd International Conference on Massively Parallel Computing Systems, MPCS'96es_ES


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