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dc.contributor.authorWang, Chaolien_US
dc.contributor.authorGao, Jinzhuen_US
dc.contributor.authorLi, Liyaen_US
dc.contributor.authorShen, Han-Weien_US
dc.contributor.editorKlaus Mueller and Thomas Ertl and Eduard Groelleren_US
dc.date.accessioned2014-01-29T17:43:07Z
dc.date.available2014-01-29T17:43:07Z
dc.date.issued2005en_US
dc.identifier.isbn3-905673-26-6en_US
dc.identifier.issn1727-8376en_US
dc.identifier.urihttp://dx.doi.org/10.2312/VG/VG05/011-019en_US
dc.description.abstractWe present a new parallel multiresolution volume rendering framework for large-scale time-varying data visualization using the wavelet-based time-space partitioning (WTSP) tree. Utilizing the wavelet transform, a largescale time-varying data set is converted into a space-time multiresolution data hierarchy, and is stored in a timespace partitioning (TSP) tree. To eliminate the parent-child data dependency for reconstruction and achieve loadbalanced rendering, we design an algorithm to partition the WTSP tree and distribute the wavelet-compressed data along hierarchical space-filling curves with error-guided bucketization. At run time, the WTSP tree is traversed according to the user-specified time step and tolerances of both spatial and temporal errors. Data blocks of different spatio-temporal resolutions are reconstructed and rendered to compose the final image in parallel. We demonstrate that our algorithm can reduce the run-time communication cost to a minimum and ensure a well-balanced workload among processors when visualizing gigabytes of time-varying data on a PC cluster.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors (according to ACM CCS): E.4 [Coding and Information Theory]: Data compaction and compression; I.3.1 [Computer Graphics]: Parallel processing; I.3.3 [Computer Graphics]: Picture and Image GenerationViewing algorithms; I.3.6 [Computer Graphics]: Methodology and TechniquesGraphics data structures and data typesen_US
dc.titleA Multiresolution Volume Rendering Framework for Large-Scale Time-Varying Data Visualizationen_US
dc.description.seriesinformationVolume Graphics 2005en_US


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