@InProceedings{hege04,
  author    = {H.-C.~Hege and T.~Weinkauf and S.~Prohaska and A.~Hutanu},
  title     = {Distributed Visualization and Analysis of Fluid Dynamics Data},
  booktitle = {Proc. Fourth International Symposium on Advanced Fluid Information and Transdisciplinary Fluid Integration},
  year      = {2004},
  address   = {Sendai, Japan},
  month     = {November},
  abstract  = {Fluid dynamics applications require a good understanding of the underlying
              physical phenomena. Therefore, effective procedures are necessary
              for analyzing and visualizing 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. %as well as the structural changes due to
              parameter variations. Some recently developed feature based visual
              analysis methods 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.},
  day       = {11 - 12},
  keywords  = {flow visualization, vector fields, feature extraction, topology, distributed systems, Grid technology},
  url = {http://tinoweinkauf.net/publications/abshege04.html},
}