Massive Data Pre-Processing with a Cluster Based Approach
R. Borgo, V. Pascucci, R. Scopigno
Eurographics Symposium on Parallel Graphics and Visualization, 2004, pp. 67--74.
Abstract: Data coming from complex simulation models reach easily dimensions much greater than available computational resources. Visualization of such data still represents the most intuitive and effective tool for scientific inspection of simulated phenomena. To ease this process several techniques have been adopted mainly concerning the use of hierarchical multi-resolution representations. In this paper we present the implementation of a hierarchical indexing schema for multiresolution data tailored to overwork the computational power of distributed environments.
Article URL: http://diglib.eg.org/EG/DL/WS/EGPGV/EGPGV04/067-074.pdf
BibTeX format:
@inproceedings{Borgo:2004:MDP,
  author = {R. Borgo and V. Pascucci and R. Scopigno},
  title = {Massive Data Pre-Processing with a Cluster Based Approach},
  booktitle = {Eurographics Symposium on Parallel Graphics and Visualization},
  pages = {67--74},
  year = {2004},
}
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