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dc.contributor.advisorKvamsdal, Trondnb_NO
dc.contributor.authorRefsnæs, Runar Heggeliennb_NO
dc.date.accessioned2014-12-19T13:16:40Z
dc.date.available2014-12-19T13:16:40Z
dc.date.created2010-09-16nb_NO
dc.date.issued2010nb_NO
dc.identifier351912nb_NO
dc.identifierntnudaim:5696nb_NO
dc.identifier.urihttp://hdl.handle.net/11250/246385
dc.description.abstractA block-structured approach for solving 2-dimensional finite element approximations of the Poisson equation on graphics processing units(GPUs) is developed. Linear triangular elements are used, and a matrix-free version of the conjugate gradient method is utilized for solving test problems with over 30 million elements. A speedup of 24 is achieved on a NVIDIA Tesla C1060 GPU when compared to a serial CPU version of the same solution approach, and a comparison is made with previous GPU implementations of the same problem.nb_NO
dc.languageengnb_NO
dc.publisherInstitutt for matematiske fagnb_NO
dc.subjectntnudaimno_NO
dc.subjectMTFYMA fysikk og matematikkno_NO
dc.subjectIndustriell matematikkno_NO
dc.titleMatrix-Free Conjugate Gradient Methods for Finite Element Simulations on GPUsnb_NO
dc.typeMaster thesisnb_NO
dc.source.pagenumber83nb_NO
dc.contributor.departmentNorges teknisk-naturvitenskapelige universitet, Fakultet for naturvitenskap og teknologi, Institutt for fysikknb_NO


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