A Multiresolution Volume Rendering Framework for Large-Scale Time-Varying Data Visualization
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Date
2005
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
We 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.
Description
@inproceedings{10.2312:VG/VG05/011-019,
booktitle = {Volume Graphics 2005},
editor = {Klaus Mueller and Thomas Ertl and Eduard Groeller},
title = {{A Multiresolution Volume Rendering Framework for Large-Scale Time-Varying Data Visualization}},
author = {Wang, Chaoli and Gao, Jinzhu and Li, Liya and Shen, Han-Wei},
year = {2005},
publisher = {The Eurographics Association},
ISSN = {1727-8376},
ISBN = {3-905673-26-6},
DOI = {10.2312/VG/VG05/011-019}
}