New Supercomputer To Boost Rensselaer Leadership in High-Performance Computing
A new system to be installed at the Rensselaer 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.
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.
“Researchers at Rensselaer have developed highly scalable techniques that allow modeling to be done across hundreds of thousands of processors. This machine will further that research and provide a platform to explore new techniques that will be broadly applicable to exascale computing,” said Mark Shephard, professor in the department of Mechanical, Aerospace, and Nuclear Engineering (MANE) and director of the Scientific Computation Research Center.
Experts in academia and industry anticipate realizing exascale computing performing 1018 calculations per second by the end of the decade. Exascale machines will be more than 100 times the computational power of today’s largest machines. The new Blue Gene/Q system will be a first stop for many researchers looking to scale up their research over the next decade. Once researchers prove their project works on this system, they will be well positioned to migrate to peta- and eventually exascale systems, including the large Blue Gene/Q systems due to be installed next year at two national laboratories.
Faculty and students will benefit greatly by working on these projects, said CCNI Director James Myers. Since opening in 2007 as the world’s seventh largest computer, CCNI has helped researchers at Rensselaer and around the country tackle scientific and engineering problems ranging from the modeling of materials, flows, and microbiological systems, to the development of entirely new simulation technologies. More than 700 researchers, faculty, and students from 50 universities, government laboratories, and companies have run high-performance science and engineering applications at CCNI.
“We’re delighted to have the opportunity with this new machine to continue and expand Rensselaer’s support of leading-edge research and the development of the tools and expertise that will be required to realize the potential of next-generation computer systems,” Myers said. “With the rapid changes in computing architecture and the increasing breadth in how they’ll be applied, resources like this are critical for training the next generation of scientists and engineers.”
Along with Carothers, Myers, and Shephard, co-investigators on the grant are: Peter Fox, professor in the Department of Earth and Environmental Sciences and a Tetherless World Constellation chair at Rensselaer; and Lucy Zhang, associate professor in MANE.
For more information about CCNI and high-performance computing at Rensselaer, visit www.rpi.edu/research/ccni.
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