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Civil-Comp Proceedings
ISSN 1759-3433 CCP: 107
PROCEEDINGS OF THE FOURTH INTERNATIONAL CONFERENCE ON PARALLEL, DISTRIBUTED, GRID AND CLOUD COMPUTING FOR ENGINEERING Edited by:
Paper 41
Parallelization of Topology Based Construction of Localization Map between Simplex Finite Element Meshes D. Rypl
Department of Mechanics, Faculty of Civil Engineering, Czech Technical University in Prague, Czech Republic D. Rypl, "Parallelization of Topology Based Construction of Localization Map between Simplex Finite Element Meshes", in , (Editors), "Proceedings of the Fourth International Conference on Parallel, Distributed, Grid and Cloud Computing for Engineering", Civil-Comp Press, Stirlingshire, UK, Paper 41, 2015. doi:10.4203/ccp.107.41
Keywords: finite element, data transfer, finite element mesh mapping, localization map, walking algorithm, mesh traversal, parallelization.
Summary
This paper deals with the transfer of finite element data between simplex, mutually
incompatible, finite element meshes representing the same geometrical model. The
work focuses on a construction of the localization map defining for each node of the
target mesh, onto which the data are to be transferred, the closest element of the original
source mesh. Instead of adopting commonly applied strategies constructing the
map using a spatial index based on various tree or dynamic cell data structures, a different
approach utilising the topology of the mesh is introduced. The actual localization
is performed using a walking algorithm, which is based on the traversal between
neighbouring elements of the source mesh from an initial element towards the processed
node. The individual nodes of the target mesh are processed in an appropriate
order given by the nodal connectivity of the target mesh and controlled by a queue
which ensures that only those target nodes that have a neighbouring processed node,
are ready for localization. To make the algorithm efficient and reliable, its implementation
also relies on the classification of the processed meshes to the underlying
geometrical model. The paper also elaborates a simple strategy for the parallelization
of the construction of the localization map using the domain decomposition concept.
The performance of the proposed approach is demonstrated on a three-dimensional
real-world example using a shared memory parallel computing architecture.
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