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dc.contributor.authorBeermann, Daleen_US
dc.contributor.authorMunzner, Tamaraen_US
dc.contributor.authorHumphreys, Gregen_US
dc.contributor.editorKen Brodlie and David Duke and Ken Joyen_US
dc.date.accessioned2014-01-31T06:51:57Z
dc.date.available2014-01-31T06:51:57Z
dc.date.issued2005en_US
dc.identifier.isbn3-905673-19-3en_US
dc.identifier.issn1727-5296en_US
dc.identifier.urihttp://dx.doi.org/10.2312/VisSym/EuroVis05/037-044en_US
dc.description.abstractThe TreeJuxtaposer system [MGT*03] allowed visual comparison of large trees with guaranteed visibility of landmarks and Focus+Context navigation. While that system allowed exploration and comparison of larger datasets than previous work, it was limited to a single tree of 775,000 nodes by a large memory footprint. In this paper, we describe the theoretical limitations to TreeJuxtaposer's architecture that severely restrict its scalability. We provide two scalable, robust solutions to these limitations: TJC and TJC-Q. TJC is a system that supports browsing trees up to 15 million nodes by exploiting leading-edge graphics hardware while TJC-Q allows browsing trees up to 5 million nodes on commodity platforms. Both of these systems use a fast new algorithm for drawing and culling and benefit from a complete redesign of all data structures for more efficient memory usage and reduced preprocessing time.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors (according to ACM CCS): I.3.6 [Computer Graphics]: Graphics data structures and data typesen_US
dc.titleScalable, Robust Visualization of Very Large Treesen_US
dc.description.seriesinformationEUROVIS 2005: Eurographics / IEEE VGTC Symposium on Visualizationen_US


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