Scientific Visualization Directions at Oak Ridge National Laboratory

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Scientific Visualization Directions atOak Ridge
National Laboratory
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Principle Issues and Interests

• Getting data to the viz
• High volume data transfers from HPC machines
• Progressive downsampling and filtering
• Collaborative viz issues
• Infrastructure for enabling scalable display
  technology
• Cluster and single system engines
• Graphics distribution software
• Storage system performance
• Graphics card utilization
• Networking issues

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Principle Issues and Interests (cont)

• Scalable tiled and multi-pipe displays
• LCD arrays
• Projector arrays
• Re-CAVE and PowerWall
• Data representation and generation
• Commercial and open-source tools
• Module development
• Integration with I/O
• Middleware development

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Miscellaneous

• Better integration of data management, data
  extraction, with visualization tools
• Hacking the GPU
• Retooling for 64-bit

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General Visualization Strategic Issues

• Ensure flow-down from research activities into
  production environment
• Enable scientists to visualize their data within
  their own psychological and technical
  constraints
• Maintain a bleeding-edge mentality for
  visualization
• Expand opportunities for students of all levels
  in visualization

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Seeking talent in

• Computer science
• Electrical engineering
• User interface development
• Art
• Video gaming
• Mathematics
• Psychology
• Network administration
• Modeling
• Information science