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November 18, 2008
Purdue and IU Become Computing Teammates
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WEST LAFAYETTE, Ind., Nov. 18 -- Purdue University is adding to what is already the world's largest science-focused distributed computing system with the addition of computers from athletics rival, but longtime computing and research collaborator, Indiana University.
IU is linking nearly 5,000 computers from its research pool to Purdue's national computing grid, which is known as Diagrid. Notre Dame, Indiana State University and Purdue's Calumet regional campus are already contributors in the effort in the Hoosier state.
Diagrid also will soon include computers from Indiana University-Purdue University Fort Wayne and Purdue North Central.
Purdue President France A. Córdova says the collaboration will help boost high-tech research in Indiana.
"The computer grid is yet another example of the two universities working together," Córdova says. "The state's universities share a vision of the kind of modern infrastructure -- one built for bits and bytes, and not just for cars and bikes -- that is needed to bring businesses and top faculty to our state."
IU President Michael McRobbie agrees.
"The state's investment in the I-Light network enables this collaboration between Purdue and IU to aggregate computing power to advance research in Indiana," he says.
Brad Wheeler, IU's vice president for information technology and chief information officer, also affirmed the collaboration's value.
"This not only provides millions of hours of computer cycles, but it also gives researchers ready access to software and tools at other universities," he says. "For example, areas in life science such as bioinformatics and structural biology require an enormous amount of computing. By combining our resources, IU and Purdue ensure that our researchers in these areas have world-leading computational resources available to them at any time."
Diagrid works something like a supercomputing screen-saver. When users are away from their computers, even for as little as a minute, science jobs waiting for computing time are started on the machine. This allows computing resources to be harnessed when the user has gone home for the evening, left for vacation, or even just gone down the hall for a meeting.
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