Massive Data Pre-Processing with a Cluster Based Approach
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.
BibTeX
@inproceedings {10.2312:EGPGV:EGPGV04:067-074,
booktitle = {Eurographics Workshop on Parallel Graphics and Visualization},
editor = {Dirk Bartz and Bruno Raffin and Han-Wei Shen},
title = {{Massive Data Pre-Processing with a Cluster Based Approach}},
author = {Borgo, R. and Pascucci, V. and Scopigno, R.},
year = {2004},
publisher = {The Eurographics Association},
ISSN = {1727-348X},
ISBN = {3-905673-11-8},
DOI = {10.2312/EGPGV/EGPGV04/067-074}
}
booktitle = {Eurographics Workshop on Parallel Graphics and Visualization},
editor = {Dirk Bartz and Bruno Raffin and Han-Wei Shen},
title = {{Massive Data Pre-Processing with a Cluster Based Approach}},
author = {Borgo, R. and Pascucci, V. and Scopigno, R.},
year = {2004},
publisher = {The Eurographics Association},
ISSN = {1727-348X},
ISBN = {3-905673-11-8},
DOI = {10.2312/EGPGV/EGPGV04/067-074}
}