dc.contributor.author | Beermann, Dale | en_US |
dc.contributor.author | Munzner, Tamara | en_US |
dc.contributor.author | Humphreys, Greg | en_US |
dc.contributor.editor | Ken Brodlie and David Duke and Ken Joy | en_US |
dc.date.accessioned | 2014-01-31T06:51:57Z | |
dc.date.available | 2014-01-31T06:51:57Z | |
dc.date.issued | 2005 | en_US |
dc.identifier.isbn | 3-905673-19-3 | en_US |
dc.identifier.issn | 1727-5296 | en_US |
dc.identifier.uri | http://dx.doi.org/10.2312/VisSym/EuroVis05/037-044 | en_US |
dc.description.abstract | The 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.publisher | The Eurographics Association | en_US |
dc.subject | Categories and Subject Descriptors (according to ACM CCS): I.3.6 [Computer Graphics]: Graphics data structures and data types | en_US |
dc.title | Scalable, Robust Visualization of Very Large Trees | en_US |
dc.description.seriesinformation | EUROVIS 2005: Eurographics / IEEE VGTC Symposium on Visualization | en_US |