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JPDC
2007

Adaptive decomposition and remapping algorithms for object-space-parallel direct volume rendering of unstructured grids

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Adaptive decomposition and remapping algorithms for object-space-parallel direct volume rendering of unstructured grids
Object space (OS) parallelization of an efficient direct volume rendering algorithm for unstructured grids on distributed-memory architectures is investigated. The adaptive OS decomposition problem is modeled as a graph partitioning (GP) problem using an efficient and highly accurate estimation scheme for view-dependent node and edge weighting. In the proposed model, minimizing the cutsize corresponds to minimizing the parallelization overhead due to the data communication and redundant computation/storage while maintaining the GP balance constraint corresponds to maintaining the computational load balance in parallel rendering. A GP-based, view-independent cell clustering scheme is introduced to induce more tractable view-dependent computational graphs for successive visualizations. As another contribution, a graphtheoretical remapping model is proposed as a solution to the general remapping problem and is used in minimization of the cell-data migration overhead. The remapping tool...
Cevdet Aykanat, Berkant Barla Cambazoglu, Ferit Fi
Added 16 Dec 2010
Updated 16 Dec 2010
Type Journal
Year 2007
Where JPDC
Authors Cevdet Aykanat, Berkant Barla Cambazoglu, Ferit Findik, Tahsin M. Kurç
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