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New supercomputer to boost Rensselaer leadership in high-performance computing
Date:9/12/2011

Troy, N.Y. A new system to be installed at the Rensselaer Polytechnic Institute supercomputing center will enable exciting new research possibilities across the nation and boost the university's international leadership in computational modeling and simulation, data science, high-performance computing, and web science.

Funded by a $2.65 million grant from the National Science Foundation (NSF) and with additional support from Rensselaer and its Computational Center for Nanotechnology Innovations (CCNI), the new system will be a national resource for researchers in academia and industry across a wide range of disciplines. The system, scheduled to be delivered and installed in 2012, provides a balanced combination of computational power, fast data access, and visualization capabilities. It will be comprised of a powerful IBM Blue Gene/Q supercomputer, along with a multiterabyte memory (RAM) storage accelerator, petascale disk storage, rendering cluster, and remote display wall systems.

"The IBM Blue Gene/Q system is brand new, and should enable unprecedented innovations in massively parallel computing for data-intensive and multiscale research," said Christopher Carothers, professor in the Department of Computer Science at Rensselaer, and lead researcher on the new grant. "Many important research projects are hitting a bottleneck, as the amount of data they're generating continues to grow, as does their need to interact with this data. With our new balanced system, paired with the expertise of Rensselaer faculty and students, we should be able to help researchers in academia and industry to overcome many of these challenges."

"Congratulations to Rensselaer for this National Science Foundation award, which will help further cutting-edge research possibilities through the new IBM Blue Gene/Q supercomputer," said U.S. Representative Paul Tonko. "This is an important partnership that helps provide Rensselaer with the tools that will help pu
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Contact: Michael Mullaney
mullam@rpi.edu
518-276-6161
Rensselaer Polytechnic Institute
Source:Eurekalert

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