Parallel accelerated isocontouring for out-of-core visualization

Authors:
C. L. Bajaj;V. Pascucci;D. Thompson;X. Y. Zhang
Affiliations:
Department of Computer Sciences and TICAM, University of Texas, Austin, TX;Department of Computer Sciences and TICAM, University of Texas, Austin, TX;Department of Computer Sciences and TICAM, University of Texas, Austin, TX;Department of Computer Sciences and TICAM, University of Texas, Austin, TX
Venue:
PVGS '99 Proceedings of the 1999 IEEE symposium on Parallel visualization and graphics
Year:
1999

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Abstract

In this paper we introduce a scheme for static analysis that allows us to partition large geometric datasets at multiple levels of granularity to achieve both load balancing in parallel computations and minimal access to secondary memory in out-of-core computations. The idea is illustrated and fully exploited for the case of isosurface extraction, but extendible to a class of algorithms based on a small set of parameters and for which an appropriate static analysis can be performed.