Massive Data Pre-Processing with a Cluster Based Approach

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dc.contributor.authorBorgo, R.en_US
dc.contributor.authorPascucci, V.en_US
dc.contributor.authorScopigno, R.en_US
dc.contributor.editorDirk Bartz and Bruno Raffin and Han-Wei Shenen_US
dc.date.accessioned2014-01-26T16:25:02Z
dc.date.available2014-01-26T16:25:02Z
dc.date.issued2004en_US
dc.description.abstractData 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.description.seriesinformationEurographics Workshop on Parallel Graphics and Visualizationen_US
dc.identifier.isbn3-905673-11-8en_US
dc.identifier.issn1727-348Xen_US
dc.identifier.urihttps://doi.org/10.2312/EGPGV/EGPGV04/067-074en_US
dc.publisherThe Eurographics Associationen_US
dc.titleMassive Data Pre-Processing with a Cluster Based Approachen_US
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EGPGV04: Eurographics Symposium on Parallel Graphics and Visualization