Premium
Discretization and parallel performance of an unstructured finite volume Navier–Stokes solver
Author(s) -
Mohsen Karimian S. A.,
Straatman Anthony G.
Publication year - 2006
Publication title -
international journal for numerical methods in fluids
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.938
H-Index - 112
eISSN - 1097-0363
pISSN - 0271-2091
DOI - 10.1002/fld.1189
Subject(s) - discretization , solver , computer science , parallel computing , interpolation (computer graphics) , computational science , finite volume method , unstructured grid , spmd , scalability , code (set theory) , navier–stokes equations , computational fluid dynamics , mathematics , mechanics , mathematical analysis , physics , motion (physics) , compressibility , artificial intelligence , set (abstract data type) , database , programming language
The discretization, parallelization and performance of an implicit, unstructured, time‐dependent Computational Fluid Dynamics code is described. A detailed description is provided of the improvements made on second‐order accurate tools for spatial interpolation and gradient calculation to discretize the Navier–Stokes equations in an unstructured framework. The main goal in the development of the discretization tools was to ensure a scalable and accurate parallel code. The performance of the discretization tools has been validated using standard bench‐mark problems for non‐uniform, non‐orthogonal grids. Parallelization of the code is done within the PETSc framework using a single‐program‐multiple‐data (SPMD) parallelization model. The resulting parallel code is shown to scale linearly within the limit of the available number of processors. Copyright © 2006 John Wiley & Sons, Ltd.