August 15, 2012
SEATTLE, Aug. 15 -- Building upon the Company's commitment to its Adaptive Supercomputing vision, global supercomputer leader Cray Inc. (NASDAQ: CRAY) today announced that its next-generation supercomputer code-named "Cascade" will be available with NVIDIA® Tesla® GPUs based on the next-generation NVIDIA Kepler™ GPU computing architecture.
"This is an exciting announcement for us, and for our customers, as it proves that we remain committed to our vision of integrating a range of advanced processing technologies into a single, scalable architecture," said Peg Williams, Cray's senior vice president of high performance computing systems. "Adaptive Supercomputing is about building a robust hardware and software environment that ultimately supports giving our customers choices. Adding the NVIDIA Tesla Kepler-based GPUs, which are designed for computationally intensive HPC environments, into future versions of our Cascade system will give our customers the flexibility to choose from a variety of powerful accelerator options."
In June, Cray announced that the Cascade supercomputer will be available with the new Intel® Xeon Phi™ coprocessors. With these new offerings, Cray customers will be able to customize a Cascade supercomputer with innovative processor technologies that best meets the high performance computing (HPC) needs of their scientific applications. NVIDIA Tesla GPUs and Intel Xeon Phi coprocessors will be available in future versions of Cray's Cascade supercomputer.
Cray's Cascade supercomputer, which is expected to be widely available in 2013, is the next step in Cray's Adaptive Supercomputing vision. The system will feature major advancements to the Cray Linux Environment, Cray's HPC-optimized programming environment, and the next-generation Aries interconnect chipset. Cascade will also feature support for Intel® Xeon® processors -- a first for Cray's high-end systems.
"Cascade will be the first system to combine three key technologies: the latest Intel Xeon CPUs, Cray's next-generation Aries system interconnect, and new Tesla Kepler-based GPUs, the highest performance, most energy-efficient accelerators ever built," said Sumit Gupta, senior director of the Tesla business unit at NVIDIA. "This combination enables applications to scale to tens of thousands of CPU-GPU nodes to solve the world's most complex scientific computing problems."
A number of leading HPC centers around the world have already signed contracts to purchase Cascade systems:
The Cascade supercomputer is in part made possible by Cray's participation in the Defense Advanced Research Projects Agency's (DARPA) High Productivity Computing Systems program.
About Cray Inc.
As a global leader in supercomputing, Cray provides highly advanced supercomputers and world-class services and support to government, industry and academia. Cray technology is designed to enable scientists and engineers to achieve remarkable breakthroughs by accelerating performance, improving efficiency and extending the capabilities of their most demanding applications. Cray's Adaptive Supercomputing vision is focused on delivering innovative next-generation products that integrate diverse processing technologies into a unified architecture, allowing customers to surpass today's limitations and meeting the market's continued demand for realized performance. Go to http://www.cray.com/ for more information.
-----
Source: Cray
In quieter times, sounding the bell of funding big science with big systems tends to resonate further than when ears are already burning with sour economic and national security news. For exascale's future, however, the time could be ripe to instill some sense of urgency....
Read more...
In a recent solicitation, the NSF laid out needs for furthering its scientific and engineering infrastructure with new tools to go beyond top performance, Having already delivered systems like Stampede and Blue Waters, they're turning an eye to solving data-intensive challenges. We spoke with the agency's Irene Qualters and Barry Schneider about..
Read more...
Large-scale, worldwide scientific initiatives rely on some cloud-based system to both coordinate efforts and manage computational efforts at peak times that cannot be contained within the combined in-house HPC resources. Last week at Google I/O, Brookhaven National Lab’s Sergey Panitkin discussed the role of the Google Compute Engine in providing computational support to ATLAS, a detector of high-energy particles at the Large Hadron Collider (LHC).
Read more...
May 23, 2013 |
The study of climate change is one of those scientific problems where it is almost essential to model the entire Earth to attain accurate results and make worthwhile predictions. In an attempt to make climate science more accessible to smaller research facilities, NASA introduced what they call ‘Climate in a Box,’ a system they note acts as a desktop supercomputer.
Read more...
May 22, 2013 |
At some point in the not-too-distant future, building powerful, miniature computing systems will be considered a hobby for high schoolers, just as robotics or even Lego-building are today. That could be made possible through recent advancements made with the Raspberry Pi computers.
Read more...
May 16, 2013 |
When it comes to cloud, long distances mean unacceptably high latencies. Researchers from the University of Bonn in Germany examined those latency issues of doing CFD modeling in the cloud by utilizing a common CFD and its utilization in HPC instance types including both CPU and GPU cores of Amazon EC2.
Read more...
May 15, 2013 |
Supercomputers at the Department of Energy’s National Energy Research Scientific Computing Center (NERSC) have worked on important computational problems such as collapse of the atomic state, the optimization of chemical catalysts, and now modeling popping bubbles.
Read more...
05/10/2013 | Cleversafe, Cray, DDN, NetApp, & Panasas | From Wall Street to Hollywood, drug discovery to homeland security, companies and organizations of all sizes and stripes are coming face to face with the challenges – and opportunities – afforded by Big Data. Before anyone can utilize these extraordinary data repositories, however, they must first harness and manage their data stores, and do so utilizing technologies that underscore affordability, security, and scalability.
04/15/2013 | Bull | “50% of HPC users say their largest jobs scale to 120 cores or less.” How about yours? Are your codes ready to take advantage of today’s and tomorrow’s ultra-parallel HPC systems? Download this White Paper by Analysts Intersect360 Research to see what Bull and Intel’s Center for Excellence in Parallel Programming can do for your codes.
In this demonstration of SGI DMF ZeroWatt disk solution, Dr. Eng Lim Goh, SGI CTO, discusses a function of SGI DMF software to reduce costs and power consumption in an exascale (Big Data) storage datacenter.
The Cray CS300-AC cluster supercomputer offers energy efficient, air-cooled design based on modular, industry-standard platforms featuring the latest processor and network technologies and a wide range of datacenter cooling requirements.