Parallel Algorithms for Non-stationary Problems: Survey of New Generation of Explicit Schemes

Laevsky, Yu. M.; Banushkina, Polina; Litvinenko, S. A.; Zotkevich, A.A.

doi:10.1007/3-540-44743-1_46

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“…So we have an efficient method for the parallelization of differential systems coming from the Finite Element Method. The performances are interesting [11]. We particularly notice the low sized memory and the good load balancing.…”

Section: Resultsmentioning

confidence: 90%

Simulation of a Compressible Flow by the Finite Element Method Using a General Parallel Computing Approach

Chambarel

Bolvin

2002

Lecture Notes in Computer Science

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We have developed a coherent set of techniques for parallel computing. We have used the Finite Element Method associated with the C++ Object-Oriented Programming with only one database. A technique of data selection is used in the determination of the data dedicated to each processor. This method is performed by SIMD technology associated with 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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Section: Resultsmentioning

confidence: 90%