'OptIPuter' design for data-intensive computer wins $13.5 million...( tem experiments. They will be carried o...)

tem experiments. They will be carried out in close conjunction with two data-intensive e-science efforts already underway: NSF's EarthScope, and the Biomedical Informatics Research Network (BIRN) funded by the National Institutes of Health (NIH). They will provide the application drivers to ensure a useful and usable OptIPuter design. Under co-PI Ellisman, UCSD's National Center for Microscopy and Imaging Research (NCMIR) is driving the BIRN neuroscience application, with an emphasis on neuroimaging. Under the leadership of UCSD's Scripps Institution of oceanography's Deputy Director and Acting Dean John Orcutt, Scripps' Institute of Geophysics and Planetary Physics is leading the EarthScope geoscience effort, including acquisition, processing and scientific interpretation of satellite-derived remote sensing, near-real-time environmental, and active source data.

The OptIPuter is 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. Use of parallel lambdas will permit so much extra bandwidth that the connection is likely to be uncongested. "Recent cost breakthroughs in networking technology are making it possible to send multiple lambdas down a single piece of customer-owned optical fiber," said co-PI Papadopoulos. "This will increase potential capacity to the point where bandwidth ceases to be the bottleneck in the development of metropolitan-scale grids."

According to Cal-(IT)2's Smarr, grid-intensive applications "will require a large-scale distributed information infrastructure based on petascale computing, exabyte storage, and terabit networks." A petaflop is one-thousand-times faster than today's speediest parallel computers, which process one trillion fl
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Contact: Doug Ramsey
dramsey@ucsd.edu
858-822-5825
University of California - San Diego
25-Sep-2002

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