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High-Performance Visualization of Geographic Data

High-Performance Visualization of Geographic Data. Bhaduri L. Budhendra and Alexandre Sorokine Geographic Information Science & Tech Computational Sciences & Engineering Division. Geographic information systems: A short introduction. Uses Government Homeland security Resource management

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High-Performance Visualization of Geographic Data

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  1. High-Performance Visualization of Geographic Data Bhaduri L. Budhendra and Alexandre Sorokine Geographic Information Science & Tech Computational Sciences & Engineering Division

  2. 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

  3. 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

  4. Rendering Node Display Rendering Node Head Node Display Display Rendering Node Display 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

  5. pd-GRASS: Parallel display forGRASS GIS 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/ GRASS GIS • Freely available • No license fees • Works on LINUX

  6. pd-GRASS examples • Shuttle Radar Topography Mission (SRTM) data set 3-arcsecond cell size About 3  109 pixel

  7. High-resolution 3-dimensional view of LIDAR data LIDAR data set for the city of Houston 108 cells Approximately 4 GB

  8. 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

  9. Contacts Budhendra Bhaduri Geographic Information Science and Tech Computational Sciences and Engineering Division (865) 241-9272 bhaduribl@ornl.gov Alexandre Sorokine Geographic Information Science and Tech Computational Sciences and Engineering Division (865) 576-7597 sorokina@ornl.gov 9 Bhaduri_HPC_GIS_0611

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