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        <identifier>oai:meral.edu.mm:recid/668</identifier>
        <datestamp>2021-12-13T02:08:38Z</datestamp>
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          <dc:title>Parallel OpenMP/C++ Programming for the Kalman Filter</dc:title>
          <dc:creator>Myint Myint Thein</dc:creator>
          <dc:description>The 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.</dc:description>
          <dc:date>2014</dc:date>
          <dc:identifier>http://hdl.handle.net/20.500.12678/0000000668</dc:identifier>
          <dc:identifier>https://meral.edu.mm/records/668</dc:identifier>
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