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.


    Access

    Access via TIB

    Check availability in my library


    Export, share and cite



    Title :

    Data-parallel lower-upper relaxation method for reacting flows


    Contributors:

    Published in:

    AIAA Journal ; 32 , 12


    Publication date :

    1994-12-01



    Type of media :

    Miscellaneous


    Type of material :

    No indication


    Language :

    English





    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