Abstract
We develop a coherent set of techniques for parallel computing. We use the Finite Element Method associated with the C++ Objects Oriented Programming with only one database. A technique of data selection called AMS - Automatic Multigrid System - is used for the determination of the data dedicated to each processor. This method is performed by a SIMD technology associated with the MPI capabilities. This parallel computing is applied to very large CPU cost problems particularly the unsteady problems or steady problems using iterative methods. Different results in Computational Fluid Dynamics are presented.
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Chambarel, A., Fougère, D. (2001). A General Parallel Computing Approach Using the Finite Element Method and the Objects Oriented Programming by Selected Data Technique. In: Malyshkin, V. (eds) Parallel Computing Technologies. PaCT 2001. Lecture Notes in Computer Science, vol 2127. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44743-1_44
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DOI: https://doi.org/10.1007/3-540-44743-1_44
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