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 @ ucsd.edu
Tom DeFanti, University of Illinois at Chicago, tom @ evl.uic.edu

Contact: cavern @ evl.uic.edu