Abstract
A framework is presented for partitioning of multiblock grids used in data parallel applications. It includes partitioning strategies found in the literature, as well as new algorithms proposed here. In particular, a multilevel graph-partitioning strategy – specifically designed for structured composite grids – is proposed. Different partitioning strategies are compared in two case studies involving multiblock grids. One of the applications is a profile of a multi-element wing from Airbus A310. The partition properties from the different strategies and algorithms depend very much on the number of subgrids and their sizes as well as on the number of processors. Results demonstrate that existing strategies behave well in some cases while the new multilevel graph-partitioning strategy gives an overall good performance.
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