Cray, SGI Land Deals for HPC Systems

By Jeffrey Burt  |  Posted 2013-06-27 Print this article Print

For its part, SGI officials said the deployment of their Rackable servers by Princeton University's Department of Geosciences is the latest proof-point of the growing demand for GPU accelerators in HPC environments.

The university is installing a range of 2U (3.5-inch) Rackable servers that each include four Nvidia Tesla K20 GPU accelerators, creating a system that will leverage 200 of the accelerators in all. The Department of Geosciences conducts research into earthquakes, and with the new Rackable servers, the time required for reports on seismic activity through the Global Seismicity Portal went from as long as eight hours down to 15 to 30 minutes.

"The need for computing power at lower power consumption continues to be a key customer requirement and customers are benefitting from the highly accelerated code and leading performance per watt capability offered with Nvidia Tesla GPUs," Bill Mannel, vice president of product management for server products at SGI, said in a statement. "Customers are developing finer meshes, larger models and problems, higher sampling rates and resolutions. These problems are often being solved using Tesla accelerators."

SGI is seeing a 30 percent year-over-year increase in shipments of Nvidia GPUs, and officials said they plan to grow their GPU capabilities by adding liquid-cooled GPU server blades to its ICE X supercomputers. The company offers Tesla K10, K20 and K20X GPU accelerators in its UV 2000 systems, various Rackable servers and the ICE X.

The deal with Princeton is the latest in a string of customer wins for SGI. Most recently, On June 17, SGI announced that the Department of Defense had deployed an ICE X HPC system for its Spirit supercomputer at the Air Force Research Laboratory, making it the 14th fastest supercomputer in the world, according to the Top500 list. In addition, the vendor on June 4 announced that the Translational Research Institute in Australia is using SGI's UV 200 shared-memory platform, Rackable compute cluster and InfiniteStorage systems to create a big data HPC solution for medical research at a new facility.


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