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

sh critically needed research projects forward while educating students who will be the innovators and technology leaders of the future."

The new supercomputer will be housed in CCNI, with visualization workstations and a display wall on the Rensselaer campus in the Curtis R. Priem Experimental Media and Performing Arts Center (EMPAC). The new Blue Gene/Q component of the system will have more computational power than the combined Blue Gene/L racks currently installed at CCNI, while taking up less than 1/30th of the space and using only 1/6th of the electrical power to operate. However, the true power of the new machine is in its balance: it will be many times faster than CCNI's current system on data-intensive problems, and the combination of computation, fast data access, and visualization will support a significantly broader scope of research.

At Rensselaer, many research projects are poised to benefit from the new system. These projects include developing new methods for the diagnosis of breast cancer using data from non-invasive techniques; modeling plasmas to aid the design and safety of future fusion reactors; modeling wind turbine design to increase efficiencies and reduce maintenance; application of new knowledge discovery algorithms to very large semantic graphs for climate change and biomedical research, modeling heat flow in the world's oceans, integrating data and computations across scales to gain a better understanding of biological systems and improve health care; and many others.

Time on the new system will be available to researchers nationwide. An allocation committee will be formed to assess proposals, on the basis of scientific merit, fit to the machine's capabilities, and the potential to broaden the system's user community and range of research. Rensselaer scientists and engineers also anticipate collaborations that will develop and apply the new techniques that will help researchers take advantage of this machine's
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Contact: Michael Mullaney
mullam@rpi.edu
518-276-6161
Rensselaer Polytechnic Institute
Source:Eurekalert

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