Parallel Multiresolution Volume Rendering of Large Data Sets with Error-Guided Load Balancing

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dc.contributor.authorWang, Chaolien_US
dc.contributor.authorGao, Jinzhuen_US
dc.contributor.authorShen, Han-Weien_US
dc.contributor.editorDirk Bartz and Bruno Raffin and Han-Wei Shenen_US
dc.date.accessioned2014-01-26T16:25:01Z
dc.date.available2014-01-26T16:25:01Z
dc.date.issued2004en_US
dc.description.abstractWe present a new parallel multiresolution volume rendering algorithm for visualizing large data sets. Using the wavelet transform, the raw data is first converted into a multiresolution wavelet tree. To eliminate the parent-child data dependency for reconstruction and achieve load-balanced rendering, we design a novel algorithm to partition the tree and distribute the data along a hierarchical space-filling curve with error-guided bucketization. At run time, the wavelet tree is traversed according to the user-specified error tolerance, data blocks of different resolutions are decompressed and rendered to compose the final image in parallel. Experimental results showed 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 data with arbitrary error tolerances.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/EGPGV04/023-030en_US
dc.publisherThe Eurographics Associationen_US
dc.titleParallel Multiresolution Volume Rendering of Large Data Sets with Error-Guided Load Balancingen_US
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EGPGV04: Eurographics Symposium on Parallel Graphics and Visualization