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dc.contributor.advisorNæss, Arvid
dc.contributor.authorAlexandersen, Agnes Koi
dc.date.accessioned2015-10-06T10:57:13Z
dc.date.available2015-10-06T10:57:13Z
dc.date.created2015-06-19
dc.date.issued2015
dc.identifierntnudaim:13913
dc.identifier.urihttp://hdl.handle.net/11250/2352683
dc.description.abstractThe main purpose of this work was to develop a more time efficient solution to the Lotka- Volterra model. To compare runtimes, in addition to the serial version, the algorithm was implemented using the Message Passing Interface as well as on a GPU using CUDA. By comparing the best runtime for the three versions we concluded that the KMC method is best suited for the message passing interface. We have studied the accuracy of the KMC method and it turned out that there was a limit for which increasing the number of simulations did not affect the accuracy significantly. In order to reach this limit in a reasonable amount of time the use of parallel programming is essential.
dc.languageeng
dc.publisherNTNU
dc.subjectFysikk og matematikk, Industriell matematikk
dc.titleParallel Solutions of Stochastic Differential Equations
dc.typeMaster thesis
dc.source.pagenumber91


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