Trading Off Performance for Energy in Linear Algebra Operations with Applications in Control Theory

dc.creatorBenner,Peter
dc.creatorEzzatti,Pablo
dc.creatorQuintana-Ortí,Enrique S
dc.creatorRemón,Alfredo
dc.date2014-04-01
dc.date.accessioned2023-09-25T18:35:17Z
dc.date.available2023-09-25T18:35:17Z
dc.identifierhttp://www.scielo.edu.uy/scielo.php?script=sci_arttext&pid=S0717-50002014000100004
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/8838471
dc.descriptionWe analyze the performance-power-energy balance of a conventional Intel Xeon multicore processor and two low-power architectures -an Intel Atom processor and a system with a quad-core ARM Cortex A9+NVIDIA Quadro 1000M- using a high performance implementation of Gauss-Jordan elimination (GJE) for matrix inversion. The blocked version of this algorithm employed in the experimental evaluation mostly comprises matrix-matrix products, so that the results from the evaluation carry beyond the simple matrix inversion and are representative for a wide variety of dense linear algebra operations/codes.
dc.formattext/html
dc.languageen
dc.publisherCentro Latinoamericano de Estudios en Informática
dc.rightsinfo:eu-repo/semantics/openAccess
dc.sourceCLEI Electronic Journal v.17 n.1 2014
dc.subjectDense Linear Algebra
dc.subjectGauss-Jordan
dc.subjectPower
dc.subjectEnergy
dc.titleTrading Off Performance for Energy in Linear Algebra Operations with Applications in Control Theory
dc.typeinfo:eu-repo/semantics/article


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