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Isosurface extraction and . . . (2008)
BibTeX
@MISC{Dupuy08isosurfaceextraction,
author = {G. Dupuy and Sebastion Guillon and Dimitri Komatitsch and et al.},
title = {Isosurface extraction and . . . },
year = {2008}
}
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Abstract
In order to deal with the heavy trend in size increase of volumetric datasets, research in isosurface extraction has focused in the past few years on related aspects such as surface simplification and load balanced parallel algorithms. We present in this paper a parallel, bloc-wise extension of the tan-dem algorithm [Attali et al. 2005], which simplifies on the fly an isosurface being extracted. Our approach minimizes the overall memory consumption using an adequate bloc splitting and merging strategy and with the introduction of a component dumping mecha-nism that drastically reduces the amount of memory needed for par-ticular datasets such as those encountered in geophysics. As soon as detected, surface components are migrated to the disk along with a meta-data index (oriented bounding box, volume, etc) that will al-low further improved exploration scenarios (small components re-moval or particularly oriented components selection for instance). For ease of implementation, we carefully describe a master and slave algorithm architecture that clearly separates the four required basic tasks. We show several results of our parallel algorithm ap-plied on a 7000×1600×2000 geophysics dataset.
Keyphrases
meta-data index volumetric datasets several result surface simplification merging strategy isosurface extraction past year basic task overall memory consumption tan-dem algorithm attali bounding box heavy trend surface component par-ticular datasets size increase bloc-wise extension small component related aspect parallel algorithm oriented component selection algorithm architecture exploration scenario adequate bloc splitting
