A GPU-Supported Lossless Compression Scheme for Rendering Time-Varying Volume Data
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Date
2010
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
Since the size of time-varying volumetric data sets typically exceeds the amount of available GPU and main memory, out-of-core streaming techniques are required to support interactive rendering. To deal with the performance bottlenecks of hard-disk transfer rate and graphics bus bandwidth, we present a hybrid CPU/GPU scheme for lossless compression and data streaming that combines a temporal prediction model, which allows to exploit coherence between time steps, and variable-length coding with a fast block compression algorithm. This combination becomes possible by exploiting the CUDA computing architecture for unpacking and assembling data packets on the GPU. The system allows near-interactive performance even for rendering large real-world data sets with a low signal-to-noise-ratio, while not degrading image quality. It uses standard volume raycasting and can be easily combined with existing acceleration methods and advanced visualization techniques.
Description
@inproceedings{:10.2312/VG/VG10/109-116,
booktitle = {IEEE/ EG Symposium on Volume Graphics},
editor = {Ruediger Westermann and Gordon Kindlmann},
title = {{A GPU-Supported Lossless Compression Scheme for Rendering Time-Varying Volume Data}},
author = {Mensmann, Jörg and Ropinski, Timo and Hinrichs, Klaus},
year = {2010},
publisher = {The Eurographics Association},
ISSN = {1727-8376},
ISBN = {978-3-905674-23-1},
DOI = {/10.2312/VG/VG10/109-116}
}