The Scalable Adaptive Graphics Environment
Electronic Visualization Laboratory (EVL)
University of Illinois at Chicago (UIC), US
spiff -@- uic.edu
- Luc Renambot, EVL, UIC, US
- Andrew Johnson, EVL, UIC, US
- Byungil (Brent) Jeong, EVL, UIC, US
- Ratko Jagodic, EVL, UIC, US
- Rajvikram Singh, EVL, UIC, US
- Venkatram (Venkat) Vishwanath, EVL, UIC, US
- Nicholas Schwarz, EVL, UIC, US
- Eric He, EVL, UIC, US
- Brian Davis, Earth Resources Observation Systems (EROS), US Geological Survey (USGS), US
- Paul Wielinga, SARA Computing and Networking Services, NL
- Bram Stolk, SARA Computing and Networking Services, NL
- Gee Bum Koo, Korea Institute of Science and Technology Information (KISTI), Korea
- Jysoo Lee, KISTI, Korea
- Brenda A. López Silva, Center for the Presentation of Science, University of Chicago
The OptIPuter project’s Scalable Adaptive Graphics Environment (SAGE) system coordinates and displays multiple incoming streams of ultra-high-resolution computer graphics and live high-definition video on the 100Megapixel LambdaVision tiled display system. Network statistics of SAGE streams are portrayed using Cyto-Viz, an artistic network visualization system. UIC participates in the Global Lambda Visualization Facility (GLVF). SAGE is a research project of the UIC Electronic Visualization Laboratory, supported by the OptIPuter project.
The OptIPuter is a powerful distributed cyberinfrastructure to support data-intensive scientific research and collaboration. It has two application drivers the NIH Biomedical Informatics Research Network and the NSF EarthScope where scientists are generating multi-gigabytes of 3D volumetric data objects that reside on distributed archives that they want to correlate, analyze and visualize.
The OptIPuter is being designed as a “virtual” parallel computer in which the individual “processors” are widely distributed clusters; the “memory” is in the form of large distributed data repositories; “peripherals” are very-large scientific instruments, visualization displays and/or sensor arrays; and the “motherboard” uses standard IP delivered over multiple dedicated lambdas.
This project is funded by U.S. National Science Foundation award SCI-0225642 (the OptIPuter project) to the University of California, San Diego; and the Office of Naval Research.