End-to-End Data Reduction and Hardware Accelerated Rendering Techniques for Visualizing Time-Varying Non-uniform Grid Volume Data

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Date
2005
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
We present a systematic approach for direct volume rendering terascale-sized data that are time-varying, and possibly non-uniformly sampled, using only a single commodity graphics PC. Our method employs a data reduction scheme that combines lossless, wavelet-based progressive data access with a user-directed, hardware-accelerated data packing technique. Data packing is achieved by discarding data blocks with values outside the data interval of interest and encoding the remaining data in a structure that can be efficiently decoded in the GPU. The compressed data can be transferred between disk, main memory, and video memory more efficiently, leading to more effective data exploration in both spatial and temporal domains. Furthermore, our texture-map based volume rendering system is capable of correctly displaying data that are sampled on a stretched, Cartesian grid. To study the effectiveness of our technique we used data sets generated from a large solar convection simulation, computed on a non-uniform, 504x504x2048 grid.
Description

        
@inproceedings{
:10.2312/VG/VG05/031-039
, booktitle = {
Volume Graphics 2005
}, editor = {
Klaus Mueller and Thomas Ertl and Eduard Groeller
}, title = {{
End-to-End Data Reduction and Hardware Accelerated Rendering Techniques for Visualizing Time-Varying Non-uniform Grid Volume Data
}}, author = {
Akiba, Hiroshi
and
Ma, Kwan-Liu
and
Clyne, John
}, year = {
2005
}, publisher = {
The Eurographics Association
}, ISSN = {
1727-8376
}, ISBN = {
3-905673-26-6
}, DOI = {
/10.2312/VG/VG05/031-039
} }
Citation