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High performance computing of compressible flows

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3 Author(s)
S. Aliabadi ; Northrop Grumman Center for High Performance Comput. of Ship Syst. Eng., Jackson State Univ., MS, USA ; Shuangzhang Tu ; M. D. Watts

This paper reports the performance of our parallel implicit finite volume solver for compressible flows. The Jacobian-free Generalized Minimal Residual method (GMRES) is used to solve the linear system resulting from the discretization. Furthermore, the matrix-free Lower-Upper Symmetric Gauss Seidel (LU-SGS) method is employed as a preconditioning technique to the GMRES solver. A new slope limiting procedure is designed to suppress the unphysical overshoots and undershoots of the numerical solution while not hampering the convergence of the steady-state simulation. The solver is also parallelized using mesh partitioning and message passing interface (MPI) functions. The Cray XI is used to measure the performance of the flow solver. A few 2D and 3D numerical examples are presented to demonstrate the performance of the present solver

Published in:

Eighth International Conference on High-Performance Computing in Asia-Pacific Region (HPCASIA'05)

Date of Conference:

1-1 July 2005