No abstract

No abstract

me process of generating discrete surfaces in a volumetric representation, termed voxe~zation, is cotionted with topologid considerations as we~as accuracy and efficiency requirements. We introduce a new method for voxehg planar objects which, -e existing methods, provides topolo~cd conformity through geometric measures. We extend our approach to provide, for the fimt time, m amurate and coherent method for voxe~g polygon meshes.~s method efimin~common voxe=on ficts at ges and verdm. We prove the metb~s topological attributes and report performance of our implementation FiiWy, we demonstrate that this approach forms a basis for a new set of voxetition Ngonthms by voxefizing an example cubic objec1

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Particle tracing for streamline and pathline generation is a common method of visualizing vector fields in scientific data, but it is difficult to parallelize efficiently because of demanding and widely varying computational and communication loads. In this paper we scale parallel particle tracing for visualizing steady and unsteady flow fields well beyond previously published results. We configure the 4D domain decomposition into spatial and temporal blocks that combine in-core and out-of-core execution in a flexible way that favors faster run time or smaller memory. We also compare static and dynamic partitioning approaches. Strong and weak scaling curves are presented for tests conducted on an IBM Blue Gene/P machine at up to 32 K processes using a parallel flow visualization library that we are developing. Datasets are derived from computational fluid dynamics simulations of thermal hydraulics, liquid mixing, and combustion.