ment is satisfied but not the second, is in the solution of the two-dimensional Poisson equation using the Gauss-Seidel Parallel computation on distributed-memory machines offers the capability of a scalable approach to the solution of large CFD prob-method. With a red-black ordering scheme and a bl
ITERATIVE SOLUTION OF INCOMPRESSIBLE NAVIER–STOKES EQUATIONS ON THE MEIKO COMPUTING SURFACE
✍ Scribed by B. A. TANYI; R. W. THATCHER
- Publisher
- John Wiley and Sons
- Year
- 1996
- Tongue
- English
- Weight
- 839 KB
- Volume
- 22
- Category
- Article
- ISSN
- 0271-2091
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✦ Synopsis
The numerical discretization of the equations governing fluid flow results in coupled, quasi-linear and nonsymmetric systems. Various approaches exist for resolving the non-linearity and couplings. During each non-linear iteration, nominally linear systems are solved for each of the flow variables. Line relaxation techniques are traditionally employed for solving these systems. However, they could be very expensive for realistic applications and present serious synchronization problems in a distributed memory parallel environment. In this paper the discrete linear systems are solved using the generalized conjugate gtadient method of Concus and Golub. The performance of this algorithm is compared with the line Gauss-Seidel algorithm for laminar recirculatory flow in uni-and multiprocessor environments. The uniprocessor performances of these algorithms are also compared with that of a popular iterative solver for non-symmetric systems (the Gh4RES algorithm).
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