Abstract
A data structure for the distributed representation of inhomogeneous and dynamically changing spatial structures is introduced. It is based on the concept of cellular hypergraphs (CHG), which provides us with a universal framework in this domain: a CHG is used to represent the topological relationships within a spatial structure, and the temporal dynamics are formulated with the productions of a parallel replacement system. The presented data structure is based on tuples keeping relationships between edges of the graph and components storing state information. A method for moving cells between processor nodes is described in detail, for it has a central meaning in load balancing algorithms and the distributed implementation of the parallel replacement systems.
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© 1997 Springer-Verlag Berlin Heidelberg
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Hartmann, P. (1997). A Tuple-based data structure for distributed parallel processing of 3D dynamic meshes. In: Malyshkin, V. (eds) Parallel Computing Technologies. PaCT 1997. Lecture Notes in Computer Science, vol 1277. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-63371-5_4
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DOI: https://doi.org/10.1007/3-540-63371-5_4
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