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Supercomputing equipment to advance the frontiers of computational biology

Troy, N.Y. -- Researchers at Rensselaer Polytechnic Institute will continue to advance the frontiers of computational science with the help of IBM's Blue Gene supercomputer. Awarded under IBM's Shared University Research (SUR) program, this Blue Gene will complement the $100 million partnership between Rensselaer, IBM, and New York state to create one of the world's most powerful university-based supercomputing centers.

The equipment will provide a resource for scientists to gain experience with the Blue Gene computing environment, while also supporting a project to develop new simulation technologies for understanding biological systems. The work will help researchers develop algorithms and software that run efficiently on Blue Gene technology, which is a key part of the new Computational Center for Nanotechnology Innovations (CCNI).

This $2.23 million gift of IBM equipment counts toward the $1.4 billion Renaissance at Rensselaer campaign.

"This award further advances the strong partnership between IBM and Rensselaer to develop a leading-edge, high-performance computational capability," said Rensselaer President Shirley Ann Jackson. "It will allow our faculty and students to take the lead in research that will enable key nanotechnology innovations in the fields of energy, biotechnology, arts, and medicine."

As biology becomes a more quantitative field, researchers need new simulation technologies to understand how proteins, DNA, and other biological systems behave at the molecular level, according to the Rensselaer research team. The new SUR award is designed to help develop simulations for prototyping medical devices in "virtual patients," with potential applications in targeted drug delivery systems such as drug eluting stents, transdermal patches, and inhalers.

To be successful, these simulations must run efficiently and effectively on the latest generation of high-performance computing equipment. The project
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Contact: Jason Gorss
gorssj@rpi.edu
518-276-6098
Rensselaer Polytechnic Institute
7-Dec-2006


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