Data-Parallel Line Relaxation Method for the Navier-Stokes Equations
1998; American Institute of Aeronautics and Astronautics; Volume: 36; Issue: 9 Linguagem: Inglês
10.2514/2.586
ISSN1533-385X
AutoresMichael Wright, Graham V. Candler, Deepak Bose,
Tópico(s)Lattice Boltzmann Simulation Studies
ResumoThe Gauss‐Seidel line relaxation method is modie ed for the simulation of viscous e ows on massively parallel computers. The resulting data-parallel line relaxation method is shown to have good convergence properties for a seriesoftestcases.Thenewmethodrequiressignie cantlymorememorythanthepreviouslydevelopeddata-parallel relaxation methods, but it reaches a steady-state solution in much less time for all cases tested to date. In addition, the data-parallel line relaxation method shows good convergence properties even on the high-cell-aspect-ratio grids required to simulate high-Reynolds-number e ows. The new method is implemented using message passing on the Cray T3E, and the parallel performance of the method on this machine is discussed. The data-parallel line relaxation method combines the fast convergence of the Gauss ‐Seidel line relaxation method with a high parallel efe ciency and thus shows promise for large-scale simulation of viscous e ows.
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