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dc.contributor.authorNavarro Guerrero, Juan José
dc.contributor.authorLlaberia Griñó, José M.
dc.contributor.authorValero Cortés, Mateo
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors
dc.contributor.otherFacultat d'Informàtica de Barcelona
dc.date.accessioned2017-11-15T17:10:02Z
dc.date.available2017-11-15T17:10:02Z
dc.date.issued1986
dc.identifier.citationNavarro, J., Llaberia, J., Valero, M. "Solving matrix problems with no size restriction on a systolic array processor". 1986.
dc.identifier.urihttp://hdl.handle.net/2117/110705
dc.descriptionThis work was supported by Ministery of Education of Spain (CAICYT) under Grant Number 2906-83 C03-03
dc.description.abstractIn this paper we propose several data structures partitioning and transformation schemes, in order to get an efficient execution of various matrix algorithms without any size resriction. The following matrix operations are considered: -Matrix-Matrix multiplication -Solving triangular matrix equations -L-U decomposition -Inverses of triangular and dense matrices All these algorithms are to be executed on a problem-size independent sprial systolic array processor. The array topology is fixed, and a simple feedback and control are needed. For all the algorithms that have been considered, the PE's utilization tends to the maximum possible value.
dc.format.extent30 p.
dc.language.isoeng
dc.relation.ispartofseriesRR 86/01
dc.subjectÀrees temàtiques de la UPC::Informàtica::Arquitectura de computadors
dc.subject.lcshArray processors
dc.titleSolving matrix problems with no size restriction on a systolic array processor
dc.typeExternal research report
dc.subject.lemacProcessadors de matrius (arrays)
dc.contributor.groupUniversitat Politècnica de Catalunya. CAP - Grup de Computació d'Altes Prestacions
dc.rights.accessOpen Access
drac.iddocument21605089
dc.description.versionPostprint (published version)
upcommons.citation.authorNavarro, J., Llaberia, J., Valero, M.
upcommons.citation.publishedtrue


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