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A GPU-Supported Lossless Compression Scheme for Rendering Time-Varying Volume Data
University of Münster, Germany.
University of Münster, Germany.
University of Münster, Germany.
2010 (English)In: VG'10 Proceedings of the 8th IEEE/EG international conference on Volume Graphics, IEEE , 2010, 109-116 p.Conference paper, Published paper (Refereed)
Abstract [en]

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.

Place, publisher, year, edition, pages
IEEE , 2010. 109-116 p.
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:liu:diva-92867DOI: 10.2312/VG/VG10/109-116ISBN: 978-3-905674-23-1 (print)OAI: oai:DiVA.org:liu-92867DiVA: diva2:623395
Conference
8th IEEE/EG international conference on Volume Graphics, 2–3 May 2010, Norrköping, Sweden
Available from: 2013-05-27 Created: 2013-05-27 Last updated: 2017-03-17Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
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  • Other locale
More languages
Output format
  • html
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  • asciidoc
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