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• W2335441464 abstract "A novel parallelization method has been developed for a fully implicit unstructured pressure-based flow solver CFD-ACE{ U). The method is designed flexible enough so that parallelization can be applied to each iteration level as well as each linear solver sweep level. For low speed jlows, sweep level parallelization is essential to obtain the same convergence rate as the serial code. The method has been tested on several sample problems. The present method shows significant reduction in turnaround time on the test cases. INTRODUCTION The complexity of today’s Computational Fluid Dy.nami& (Cm)) applications for practical engineering problems has drastically increased the need for computational power. Typically, supercomputers and the latest generation of RISC workstations are used to attack these problems. Unfortunately, the fastest CPUs are also themost expensive, prohibitively so sometimes. CFD Research Corporation (CFDRC) *believes that today’s (and tomorrow’s) engineering problems canbe solved using CFD on inexpensive UNIX workstations. Parallel processing promises to make this possible. The basic concept is simple: if one machine takes T hours, N machines should take TN hours. Similarly, if one machine requires X MB of RAM, each of the N machines should need only x/Iv MB of RAM. (Naturally, this an idealization making these the * Principal Engineer, Non-member ’ Development Engineer, AIAA Senior Member * Group Leader, AIAA Member Copyright@ 1998 by CFD Research Corporation. Published by the American Institute of Aeronautics and Astronautics, Inc., with permission. asymptotic limits.) Since each ‘individual machine has such modest requirements compared to supercomputers, they cost less individually and in aggregate. This means calculating flow simulations with millions of cells to convergence overnight is possible on hardware costing less than $50,000 in total. r BASELINE FLOW SOLVER The baseline flow solver,, @D-ACE(U), used in the present study is a general purpose, three-dimensional, pressure-based, Navier Stokes solver developed by CFDRt?. @D-ACE(U) uses FORTRAN90 coding to solve fluid flow problems on fully unstructured mixed grids (triangles, quadrangles, tetraliedra, hexahedra, polyhedra, prisms, and pyramids). The code accuracy and the robustness have been demonstrated on a wide range of 2D/3D, stationary/unsteady, and incompressible/compressible flowsld. In order to solve problems using unstructured adaptive Cartesian grids and arbitrary interfaces3-5, a general 2D (3D) polygon (polyhedra) control volume capability has been implemented into CFD-ACE(U) where a control volume is surrounded by more than four faces in a two dimensional problem or six faces in a three dimensional .problem and is treated as a polygonal (polyhedral) cell. A wide range of physical models are available in the solver. IE’ARALLEL PROCESSING CFDRC has adapted CFD-ACE(U) for parallel processing using METIS for domain decomposition, MPICH?.8 for data transfer, and CFD-DTF9 for storage. The code was parallelized according to the Single Program Multiple Data (SPMD) paradigm and domain decomposition which means that each process in a" @default.
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• W2335441464 title "Parallelization pressure of a fully implicit unstructured pressure-based flow solver using MPI" @default.
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• W2335441464 doi "https://doi.org/10.2514/6.1999-3274" @default.
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