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High-Performance Visualization of Geographic Data
Bhaduri L. Budhendraand
Alexandre SorokineGeographic Information Science & Tech
Computational Sciences & Engineering Division
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Geographic information systems:A short introduction
Uses Government Homeland security Resource management Environmental management
A geographic information system (GIS) is an information system to handle geographic data
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GIS and high-performance computing:Incentives for convergence Growing size of geographic databases
LIDAR (light detection and ranging) data Hi-resolution satellite imagery Sensor networks Large national datasets (LandScan, Homeland
Security Infrastructure Protection)
Integration of multiple data sources Internet applications OpenGIS standards
New technologies and analytical methods Dynamic data analysis Data mining and visual exploratory methods Simulation models
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High-performance visualization architecture for GIS
EVEREST Visualization Cluster 30 x 8 foot viewing area 11,530 3,072 pixel array (35 MP) 27 digital light projectors 14 rendering nodes + 1 head node Quadrics Elan3 network
Software OS SUSE Linux Xdmx distributed X server GRASS GIS
Rendering Node
Rendering Node
Rendering Node
Display
Display
Display
Display
Head Node
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pd-GRASS: Parallel display forGRASS GIS
GRASS GIS Freely available No license fees Works on LINUX
pd-GRASS GRASS module for parallel visualization Full parallelization Tested with data sets of up to 40 GB Full GRASS GIS functionality Available under general public license from
http://www.ornl.gov/gist/software/grass/
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pd-GRASS examples
3-arcsecond cell size
About 3 109 pixel
Shuttle Radar Topography Mission (SRTM) data set
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High-resolution 3-dimensional view of LIDAR data
108 cells
Approximately 4 GB
LIDAR data set for the city of Houston
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EDGAR: Electric grid dynamic real-time visualization system
Visualization of the electric grid
Real-time data collection
Approximately 80,000 nodes and 30,000 lines
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Contacts
Budhendra BhaduriGeographic Information Science and TechComputational Sciences and Engineering Division(865) [email protected]
Alexandre SorokineGeographic Information Science and TechComputational Sciences and Engineering Division(865) [email protected]
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