The implicit lower-upper symmetric Gauss-Seidel (LU-SGS) method of Yoon and Jameson is modified for use on massively parallel computers. The method has been implemented on the Thinking Machines CM-5 and the MasPar MP-1 and MP-2, where large percentages of the theoretical peak floating point performance are obtained. It is shown that the new data-parallel LU relaxation method has better convergence properties than the original method for two different inviscid compressible flow simulations. The convergence is also improved for five-species reacting air computations. The performance of the method on various partitions of the CM-5 and on the MasPar computers is discussed. The new method shows promise for the efficient simulation of very large perfect gas and reacting flows.


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    Titel :

    Data-parallel lower-upper relaxation method for reacting flows


    Beteiligte:

    Erschienen in:

    AIAA Journal ; 32 , 12


    Erscheinungsdatum :

    1994-12-01



    Medientyp :

    Sonstige


    Format :

    Keine Angabe


    Sprache :

    Englisch





    Data-parallel lower-upper relaxation method for reacting flows

    Candler, Graham V. / Wright, Michael J. / McDonald, Jeffrey D. | AIAA | 1994


    A Data-Parallel LU-SGS Method for Reacting Flows

    Candler, G. V. / Wright, M. J. / McDonald, J. D. et al. | British Library Conference Proceedings | 1994


    Data-parallel lower-upper relaxation method for the Navier-Stokes equations

    Wright, Michael J. / Candler, Graham V. / Prampolini, Marco | AIAA | 1996