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Full text not available from this repository.Abstract
Shared-memory multiprocessor workstations have become widely available to the visualization community. Direct volume rendering of unstructured grids is a computationally intensive problem that is of substantial interest in scientific visualization. This paper presents a parallel algorithm for a voxelization-based direct volume rendering of unstructured grids and its implementation on a shared-memory multiprocessor. Two highlights of the algorithm are data coherence and work distribution. The data coherence property reduces voxelization to incremental computation of voxel values within a cell using a projection approach. The work distribution is achieved by multiple processors performing voxelization in parallel on a shared-memory machine
| Item Type: | Conference Paper |
|---|---|
| Additional Information: | Copyright of this article belongs to Springer-Verlag. |
| Keywords: | data visualisation;parallel algorithms;rendering (computer graphics);shared memory systems |
| Department/Centre: | Division of Information Sciences > Supercomputer Education & Research Centre |
| Date Deposited: | 29 Aug 2007 |
| Last Modified: | 10 Jan 2012 05:34 |
| URI: | http://eprints.iisc.ernet.in/id/eprint/10768 |
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