Dissertation/Thesis
Προβολή σε EDS

ParVox - A Parallel Splatting Volume Rendering System for Distributed Visualization

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: ParVox - A Parallel Splatting Volume Rendering System for Distributed Visualization
Συγγραφείς: P. Peggy Li, Scott Whitman, Roberto Mendoza, James Tsiao
Συνεισφορές: The Pennsylvania State University CiteSeerX Archives
Πηγή: http://www.cse.ohio-state.edu/~hwshen/888/li.pdf.gz.
Έτος έκδοσης: 1997
Συλλογή: CiteSeerX
Θεματικοί όροι: Direct Volume Rendering, Wavelet Image Compression, Parallel Splatting Algorithm, Distributed Scientific Visualization
Περιγραφή: This paper presents a parallel volume rendering system, ParVox, for large volumes of 4-D data sets in regular structured grids. A parallel volume rendering API based on the splatting algorithm constitutes the core of the ParVox system. A network interface program takes commands from an X Window based GUI, calls the API to perform the rendering functions, compresses the rendered images and sends them back to the GUI window. The ParVox system is designed for interactive, distributed visualization of large multiple time steps, multiple parameters volume datasets. The parallel splatting algorithm employs both object space decomposition and image space decomposition; an asynchronous image compositing scheme based on the direct send model reduces both the communication overhead and the synchronization overhead. The ParVox system architecture, the parallel algorithm and its implementation on the Cray T3D and the parallel wavelet compression algorithm are discussed extensively in this paper. The performance results and some optimization techniques are also presented.
Τύπος εγγράφου: Thesis
Περιγραφή αρχείου: application/pdf
Γλώσσα: English
Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.10.9829
Διαθεσιμότητα: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.10.9829
http://www.cse.ohio-state.edu/~hwshen/888/li.pdf.gz
Rights: Metadata may be used without restrictions as long as the oai identifier remains attached to it.
Αριθμός Καταχώρησης: edsbas.B0091C50
Βάση Δεδομένων: BASE
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PubType: Dissertation/Thesis
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  Data: ParVox - A Parallel Splatting Volume Rendering System for Distributed Visualization
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  Data: <searchLink fieldCode="AR" term="%22P%2E+Peggy+Li%22">P. Peggy Li</searchLink><br /><searchLink fieldCode="AR" term="%22Scott+Whitman%22">Scott Whitman</searchLink><br /><searchLink fieldCode="AR" term="%22Roberto+Mendoza%22">Roberto Mendoza</searchLink><br /><searchLink fieldCode="AR" term="%22James+Tsiao%22">James Tsiao</searchLink>
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  Data: The Pennsylvania State University CiteSeerX Archives
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  Data: <i>http://www.cse.ohio-state.edu/~hwshen/888/li.pdf.gz</i>.
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  Data: 1997
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– Name: Abstract
  Label: Description
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  Data: This paper presents a parallel volume rendering system, ParVox, for large volumes of 4-D data sets in regular structured grids. A parallel volume rendering API based on the splatting algorithm constitutes the core of the ParVox system. A network interface program takes commands from an X Window based GUI, calls the API to perform the rendering functions, compresses the rendered images and sends them back to the GUI window. The ParVox system is designed for interactive, distributed visualization of large multiple time steps, multiple parameters volume datasets. The parallel splatting algorithm employs both object space decomposition and image space decomposition; an asynchronous image compositing scheme based on the direct send model reduces both the communication overhead and the synchronization overhead. The ParVox system architecture, the parallel algorithm and its implementation on the Cray T3D and the parallel wavelet compression algorithm are discussed extensively in this paper. The performance results and some optimization techniques are also presented.
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      – Text: English
    Subjects:
      – SubjectFull: Direct Volume Rendering
        Type: general
      – SubjectFull: Wavelet Image Compression
        Type: general
      – SubjectFull: Parallel Splatting Algorithm
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      – SubjectFull: Distributed Scientific Visualization
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