Abstract
Different partitioning strategies for multiblock grids have been compared experimentally. The numerical experiments have been performed on a 512 processor Cray T3D using a compressible two dimensional Navier-Stokes solver. Some complementary results are made with an advection equation solver using a Cray T3E-900. The results show that the behavior of the different parallelization strategies depends very much on the number of subgrids and their sizes as well as the number of available processors. In order to get optimal performance for a certain problem and processor configuration, the partitioning strategy must be chosen with regard to these aspects. Our results give guidelines for this.KeywordsLoad BalancePartitioning StrategyParallelization StrategyBlock PartitioningComposite GridThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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