Supercomputing visualization for Earth science datasets

Abstract – Two Supercomputer-based parallel visualization systems, RIVA and ParVox, are presented in this paper. RIVA (Remote Interactive Visualization and Analysis) System is a parallel terrain rendering system and ParVox (PARallel VOXel renderer) is a parallel volume rendering system for multiple-...

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Main Author: P. Peggy Li
Other Authors: The Pennsylvania State University CiteSeerX Archives
Format: Text
Language:English
Published: 2002
Subjects:
Online Access:http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.538.1696
http://esto.gsfc.nasa.gov/conferences/estc-2002/Papers/A6P1(Li).pdf
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spelling ftciteseerx:oai:CiteSeerX.psu:10.1.1.538.1696 2023-05-15T17:31:13+02:00 Supercomputing visualization for Earth science datasets P. Peggy Li The Pennsylvania State University CiteSeerX Archives 2002 application/pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.538.1696 http://esto.gsfc.nasa.gov/conferences/estc-2002/Papers/A6P1(Li).pdf en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.538.1696 http://esto.gsfc.nasa.gov/conferences/estc-2002/Papers/A6P1(Li).pdf Metadata may be used without restrictions as long as the oai identifier remains attached to it. http://esto.gsfc.nasa.gov/conferences/estc-2002/Papers/A6P1(Li).pdf text 2002 ftciteseerx 2016-01-08T10:54:37Z Abstract – Two Supercomputer-based parallel visualization systems, RIVA and ParVox, are presented in this paper. RIVA (Remote Interactive Visualization and Analysis) System is a parallel terrain rendering system and ParVox (PARallel VOXel renderer) is a parallel volume rendering system for multiple-variable, time-varying, 3D volume datasets in structured grid and unstructured grid. Both systems are designed for interactive visualization of very large scientific datasets on remote supercomputers. The system architectures and the parallel algorithms are described in this paper. In addition, we will use North Atlantic Ocean Model as a sample application to demonstrate how RIVA and ParVox can help scientists to discover and present their scientific results. Text North Atlantic Unknown Riva ENVELOPE(12.638,12.638,66.488,66.488)
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description Abstract – Two Supercomputer-based parallel visualization systems, RIVA and ParVox, are presented in this paper. RIVA (Remote Interactive Visualization and Analysis) System is a parallel terrain rendering system and ParVox (PARallel VOXel renderer) is a parallel volume rendering system for multiple-variable, time-varying, 3D volume datasets in structured grid and unstructured grid. Both systems are designed for interactive visualization of very large scientific datasets on remote supercomputers. The system architectures and the parallel algorithms are described in this paper. In addition, we will use North Atlantic Ocean Model as a sample application to demonstrate how RIVA and ParVox can help scientists to discover and present their scientific results.
author2 The Pennsylvania State University CiteSeerX Archives
format Text
author P. Peggy Li
spellingShingle P. Peggy Li
Supercomputing visualization for Earth science datasets
author_facet P. Peggy Li
author_sort P. Peggy Li
title Supercomputing visualization for Earth science datasets
title_short Supercomputing visualization for Earth science datasets
title_full Supercomputing visualization for Earth science datasets
title_fullStr Supercomputing visualization for Earth science datasets
title_full_unstemmed Supercomputing visualization for Earth science datasets
title_sort supercomputing visualization for earth science datasets
publishDate 2002
url http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.538.1696
http://esto.gsfc.nasa.gov/conferences/estc-2002/Papers/A6P1(Li).pdf
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geographic Riva
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op_source http://esto.gsfc.nasa.gov/conferences/estc-2002/Papers/A6P1(Li).pdf
op_relation http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.538.1696
http://esto.gsfc.nasa.gov/conferences/estc-2002/Papers/A6P1(Li).pdf
op_rights Metadata may be used without restrictions as long as the oai identifier remains attached to it.
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