"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 at Rensselaer.
Experts in academia and industry anticipate realizing exascale computingperforming 1018 calculations per secondby 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 at Rensselaer 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 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.
Rensselaer 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.
"The resources we have available at CCNI have enabled researchers to work at the forefront in the development of scalable computing techniques and in the application of computing to some of the most challenging problems in academia and industry. We're de
|Contact: Michael Mullaney|
Rensselaer Polytechnic Institute