dc.contributor.author | Borgo, R. | en_US |
dc.contributor.author | Pascucci, V. | en_US |
dc.contributor.author | Scopigno, R. | en_US |
dc.contributor.editor | Dirk Bartz and Bruno Raffin and Han-Wei Shen | en_US |
dc.date.accessioned | 2014-01-26T16:25:02Z | |
dc.date.available | 2014-01-26T16:25:02Z | |
dc.date.issued | 2004 | en_US |
dc.identifier.isbn | 3-905673-11-8 | en_US |
dc.identifier.issn | 1727-348X | en_US |
dc.identifier.uri | http://dx.doi.org/10.2312/EGPGV/EGPGV04/067-074 | en_US |
dc.description.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. | en_US |
dc.publisher | The Eurographics Association | en_US |
dc.title | Massive Data Pre-Processing with a Cluster Based Approach | en_US |
dc.description.seriesinformation | Eurographics Workshop on Parallel Graphics and Visualization | en_US |