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Parallel and Large-Data Visualization and Graphics, IEEE Symposium on (2001)
San Diego, California
Oct. 22, 2001 to Oct. 23, 2001
ISBN: 0-7803-7223-9
pp: 59-66
Yi-Jen Chiang , Polytechnic University
Bin Wei , AT&T
Ricardo Farias , University of New York at Stony Brook
<p>In this paper, we present a unified infrastructure for parallel out-of-core isosurface extraction and volume rendering of large unstructured grids on distributed-memory parallel machines. We parallelize the out-of-core isosurface extraction algorithm of [9] and the out-of-core ZSweep technique [17] for direct volume rendering, using the meta-cell technique as a unified underlying building block.</p> <p>Our one-time preprocessing first partitions the dataset into metacells that are stored in disk. From the meta-cells, we build a BBIO tree in disk, which can be used to speed up isosurface extraction, and a bounding-box file in disk, which is used for direct volume rendering. At run-time, we use a simple self-scheduling scheme [39] to achieve load balancing among the processors.</p> <p>We perform several experiments on a sixteen-node cluster of PCs connected by a gigabit ethernet, using datasets as large as 6.6 million cells. For the larger datasets, we have found that both our isosurface extraction and direct volume rendering approaches are perfectly scalable up to sixteen nodes.</p>
Isosurface Extraction, Volume Rendering, Parallel Computation, Out-Of-Core Techniques, Scientific Visualization
Cláudio T. Silva, Yi-Jen Chiang, Bin Wei, Ricardo Farias, "A Unified Infrastructure for Parallel Out-of-Core Isosurface Extraction and Volume Rendering of Unstructured Grids", Parallel and Large-Data Visualization and Graphics, IEEE Symposium on, vol. 00, no. , pp. 59-66, 2001, doi:10.1109/PVGS.2001.964405
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