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dc.contributor.advisorNatvig, Lassenb_NO
dc.contributor.advisorFjeldstad, Stålenb_NO
dc.contributor.authorMahic, Safurudinnb_NO
dc.date.accessioned2014-12-19T13:31:27Z
dc.date.available2014-12-19T13:31:27Z
dc.date.created2010-09-02nb_NO
dc.date.issued2009nb_NO
dc.identifier347162nb_NO
dc.identifierntnudaim:4690nb_NO
dc.identifier.urihttp://hdl.handle.net/11250/250352
dc.description.abstractOur research shows that generation of random numbers in the benchmark Random Walk application is a significant fraction of the overall computational time in Random Walk simulations (40%). Furthermore, we show that choice of implementation and compiler flags can have a significant impact on performance. Our weakest implementation of the benchmark application performs the computations in 5338 seconds, while the fastest implementation performs the same computations in merely 71 seconds, a 75x speed improvement.nb_NO
dc.languageengnb_NO
dc.publisherInstitutt for datateknikk og informasjonsvitenskapnb_NO
dc.subjectntnudaimno_NO
dc.subjectSIF2 datateknikkno_NO
dc.subjectKomplekse datasystemerno_NO
dc.titlePerformance Study of Random Walk Simulationsnb_NO
dc.typeMaster thesisnb_NO
dc.source.pagenumber176nb_NO
dc.contributor.departmentNorges teknisk-naturvitenskapelige universitet, Fakultet for informasjonsteknologi, matematikk og elektroteknikk, Institutt for datateknikk og informasjonsvitenskapnb_NO


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