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Particle Tracing on Sparse Grids

  • Christian Teitzel
  • Roberto Grosso
  • Thomas Ertl
Part of the Eurographics book series (EUROGRAPH)

Abstract

These days sparse grids are of increasing interest in numerical simulations. Based upon hierarchical tensor product bases, the sparse grid approach is a very efficient one improving the ratio of invested storage and computing time to the achieved accuracy for many problems in the area of numerical solution of differential equations, for instance in numerical fluid mechanics. The particle tracing algorithms that are available so far cannot cope with sparse grids. Now we present an approach that directly works on sparse grids. As a second aspect in this paper, we suggest to use sparse girds as a data compression method in order to visualize huge data sets even on small workstations. Because the size of data sets used in numerical simulations is still growing, this feature makes it possible that workstations can continue to handle these data sets.

Keywords

Particle Trace Sparse Grid Cache Strategy Full Grid Data Compression Method 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag/Wien 1998

Authors and Affiliations

  • Christian Teitzel
    • 1
  • Roberto Grosso
    • 1
  • Thomas Ertl
    • 1
  1. 1.Computer Graphics GroupUniversity of ErlangenErlangenGermany

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