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Remote Data Mining, Visualization and Collaboration on the OptIPuter



Electronic Visualization Laboratory,
University of Illinois at Chicago

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.

  • University of California, San Diego
  • University of Illinois at Chicago
  • Northwestern University
  • San Diego State University
  • Information Sciences Institute/University of Southern California
  • University of California-Irvine
  • Texas A&M University
  • U.S. Geological Survey
  • University of Amsterdam, the Netherlands

Larry Smarr, University of California, San Diego, lsmarr @
Tom DeFanti, University of Illinois at Chicago, tom @

Contact: cavern @

The goal of this project is to develop advanced data mining, visualization and collaboration
technologies that maximize the use of high-speed Gigabit and Terabit international optical networks
such as StarLight to help researchers accelerate scientific discovery.

The basis for this work is the OptIPuter.

Marketta Bobik, UCSD NCMIR Graham Kent, UCSD SIO



NSF grant # ANI-0225642
updated: August 2004