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Please use this identifier to cite or link to this item: https://umoar.mu.edu.mm/handle/123456789/324
dc.contributor.authorMyint Myint Thein
dc.date.accessioned2019-03-14T05:23:01Z
dc.date.available2019-03-14T05:23:01Z
dc.date.issued2014
dc.identifier.urihttps://umoar.mu.edu.mm/handle/123456789/324
dc.description.abstractThe Kalman filter is a set of mathematical equations that provides an efficient computational (recursive) means to estimate the state of a process. Computational Kalman equations can be described with the process of serial C and parallel OpenMP/C program. Parallel implementation of Kalman filter has been suggested to improve the execution time. Single Program Multiple Data ( SPMD ) and Work Sharing methods of Open Multi-Processing (OpenMP) are applied to the computation of parallel Kalman filter. An evaluation of parallel algorithm on eight different shared-memory multi-core architectures has been performed. Shared memory implementation programs are compiled and executed on Windows Compute Cluster Server 2003 with Microsoft Visual Studio 2008.en
dc.language.isoenen
dc.publisherJournal of the Myanmar Academy of arts and scienceen
dc.relation.ispartofseriesVol. XII;No.3
dc.subjectKalman filteren
dc.subjectOpenMPen
dc.subjectParallel Kalman Filteren
dc.titleParallel OpenMP/C++ Programming for the Kalman Filteren
dc.typeArticleen


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