The primary focus of the current research concerns three different parallelization implementation methods of a widely used semi-implicit non-equilibrium chemically reactive Euler equation solver on a vector parallel processor (VPP) computer. The main objective is to reduce the relative cost of the convection term calculation and the chemical term computation, and also to optimize the global cost of the numerical simulation by a parallel implementation. Three different data-parallel methods - two methods based on the domain decomposition method (DDM) and one based on the multiblock structured algorithm (MSA) - are outlined. The characteristics of the three methods are commented on, such as the vectorization index, data communication process and parallel I/O. The approaches of the current practical research provide insight into important issues of parallel computing for common applications. Finally, a summary of the parallelization strategy is presented and conclusions are drawn.


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    Title :

    Evaluation and strategy of different data parallel implementation methods of a stiff chemical non-equilibrium flow solver


    Contributors:
    Diao, Shijun (author) / Fujiwara, T. (author)

    Published in:

    Parallel Computing ; 26 , 6 ; 791-804


    Publication date :

    2000


    Size :

    14 Seiten, 13 Quellen




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English




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