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Distributed Visualization and Analysis of Fluid Dynamics Data Hans-Christian HEGE , Tino WEINKAUF , Steffen PROHASKA , and Andrei HUTANU
 

Summary: Distributed Visualization and Analysis of Fluid Dynamics Data
Hans-Christian HEGE , Tino WEINKAUF , Steffen PROHASKA , and Andrei HUTANU
Zuse Institute Berlin, Scientific Visualization Group, Germany
{hege,weinkauf,prohaska,hutanu}@zib.de, http://www.zib.de/visual/
Fluid dynamics applications require a good understanding of the underlying physical
phenomena. Therefore, effective procedures are necessary for analyzing and visualiz-
ing the various physical fields. Beside interactive and perceptually efficient techniques
for visualizing flow fields directly, there is strong demand for methods that uncover
hidden flow structures. Some recently developed feature based visual analysis meth-
ods are exemplarily presented. Fluid flow data typically are large and often are
stored remotely or distributedly. The interactive visual analysis of such large data
sets requires new software architectures ­ ideally utilizing emerging Grid standards.
We discuss such architectures and report on specific realizations in the framework of
the visualization system Amira.
Keywords: flow visualization, vector fields, feature extraction, topology, distributed
systems, Grid technology
1 Introduction
The goal of visual data analysis is to extract and
to graphically present essential characteristics of
data sets ­ particularly data sets that are too

  

Source: Andrzejak, Artur - Konrad-Zuse-Zentrum für Informationstechnik Berlin
Prohaska, Steffen - Konrad-Zuse-Zentrum für Informationstechnik

 

Collections: Computer Technologies and Information Sciences