Upload
yin
View
34
Download
0
Tags:
Embed Size (px)
DESCRIPTION
Visualization and High Speed Research Networks for Space Exploration and Collaboration. Estelle Dodson, Lockheed Martin, NASA Ames Program Ratko Jagodic, Electronic Visualization Laboratory University of Illinois at Chicago. First Image from the Opportunity Mars Exploration Rover. - PowerPoint PPT Presentation
Citation preview
Visualization and High Speed Research Networks for Space Exploration and Collaboration
Estelle Dodson, Lockheed Martin, NASA Ames ProgramRatko Jagodic, Electronic Visualization LaboratoryUniversity of Illinois at Chicago
First Image from the Opportunity Mars Exploration Rover
Initial Navcam image prior to mast deployment showing the bedrock outcrop in Eagle Crater
Portion of Opportunity’s “Mission Success” Pancam Panorama, Approximate Color, Sol 2-3
Outcrop in Eagle Crater
Opportunity Navcam image looking back at Eagle Crater – a 22 meter diameter, 3 meter deep crater.
outcropbounce marks
tracks
trench
Eagle CraterEagle Crater
Sol 14 Layering and In-PlaceSol 14 Layering and In-PlaceSpherulesSpherules
False color Pancam image of outcrop at Eagle Crater
7 cm
Last Chance Outcrop
Cross Beds
1 cm
MI Mosaic on Last Chance With Cross Beds
Sol 29 McKittrick Microscopic Imager DataSol 29 McKittrick Microscopic Imager Data
Spherules
(Hematite concretions)
MER Team Planning Last Chance Campaign
20 February 2004 on Sol 27 planning MI in El Capitan area of Eagle Crater. Panorama on the table has been printed approximately life size. (image: by W. Clancey)
MER Team Planning Last Chance Campaign
20 February 2004 on Sol 27 planning MI in El Capitan area of Eagle Crater. Panorama on the table has been printed approximately life size. (image: by W. Clancey)
MER Team Planning Last Chance Campaign
20 February 2004 on Sol 27 planning MI in El Capitan area of Eagle Crater. Panorama on the table has been printed approximately life size. (image: by W. Clancey)
MER Team Planning Last Chance Campaign
20 February 2004 on Sol 27 planning MI in El Capitan area of Eagle Crater. Panorama on the table has been printed approximately life size. (image: by W. Clancey)
Phoenix Lander
Phoenix Lander Team at University of Arizona
NASA Ames Interactive 3D Terrain Visualization, Simulation, and Analysis – Mercator
Mercator – Antares adaptation for Mars Science Laboratory Mission
Mercator – capabilities
• Interactive 3D large scale terrain & environment visualization
• Robotic simulation
• Interactive lighting simulation (shadows)
• Multispectral overlays with transparency
• Scene interrogation tools (measurement)
• Science operations planning (targets, waypoints)
Note that the above is a log plot
Massive Solar Flare Observed June 7, 2011, by the Solar Dynamics Observatory (SDO)
SDO downloads ~1.5 TB/day compressed5 TB/day uncompressed
Distributed Research Institutes: NAI and NLSI
Supercomputing follows similar models
The Future
Ratko Jagodic
Electronic Visualization Laboratory
University of Illinois at Chicago
As we have seen, NASA needs are:• Collocated and remote collaboration
• Large and high-resolution data analysis and problem solving
• Access to remote supercomputing resources
• The OptIPuter is a NSF Information Technology Research project to examine a new model of computing whereby ultra high speed networks form the backplane of a planetary scale computer.
• The projects partners include UCSD, UIC, NU, SDSU, TAMU, UCI, UIUC/NCSA, USC/ISI; affiliate partners are USGS EROS Data Center, NASA, UvA, SARA (Netherlands), KISTI (Korea), AIST (Japan)
• Optiputer research focuses on developing technology to enable the real time collaboration and visualization of very large data-sets in the service of science - in particular earth sciences and the biosciences
www.optiputer.net
StorageCluster
ComputeCluster
ComputeCluster
RemoteInstrument(s)
End User
StorageCluster
End User
HDVideoconferencing
International Gigabit Networks - GLIF
Founding Partners: UIC (EVL), Northwestern and Argonne National Laboratory
Wall Displays for Data-Intensive Problems• Problems keep increasing in scale and complexity, requiring
interdisciplinary collaboration between scientists
• Limited human cognition - desktop systems not suitable anymore
• Wall display benefits:
– Large size:
• Promotes physical navigation
• Enables collaboration
– High resolution
• Reduces context switching (see bigger picture)
• Improves spatial performance
• How to use wall displays as ”lenses” to collaboratively visualize large
high-resolution data in the distributed Optiputer model?
Scalable Adaptive Graphics Environment (SAGE)
• Turns any tiled-display into a single desktop• Multiple applications
– Streamed remotely over high-speed networks
• Application windows can be freely moved and resized• Works with pixels: the lowest common denominator for
all visual information• Allows scientists to use remote storage, visualization
and compute resources to collaboratively analyze multiple pieces of data
Use Cases - Financial Analysis• Desktop OS does not scale to wall displays• Juxtaposition of information allows us to see the “bigger picture”
Use Cases – NASA’s ENDURANCE Project• Wall displays provide focus AND context• Groups can analyze multiple heterogeneous pieces of data…
Use Cases – NASA’s ENDURANCE Project…or a single high-resolution dataset
Use Cases – Visual Analytics Class• 80% students felt they learned more in this space• Externalized students memory
Use Cases – Collaborative Analysis• Wall displays foster collaboration• Allow experimentation with the data, providing new insights
See the future today…the exhibit hall!
Thank Youwww.sagecommons.org
www.optiputer.net
www.glif.is
Visualization
High Performance Computing
AdvancedNetworks
The Future of Scientific Collaboration