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October 14, 2005
After recently passing Oak Ridge National Laboratory's acceptance tests in record time for a large supercomputer, the lab's new Cray X1E system, nicknamed Phoenix, already is delivering unprecedented performance on some of the nation's most daunting "grand challenge" science problems.
"We subjected the Cray X1E system to rigorous acceptance tests, and it passed with flying colors," said Thomas Zacharia, ORNL's associate laboratory director for Computing and Computational Sciences. "We already have five grand challenge projects running on it and are seeing a lot of breakthrough science that has not been possible on other contemporary HPC systems."
With peak performance of 18.5 teraflops, ORNL's Cray X1E is one of the most powerful high performance computing systems in the world. Most HPC systems today achieve less than 10 percent of their peak performance on the most challenging scientific problems. The Cray X1E's high-bandwidth, low-latency architecture enables it to sustain far higher percentages on these problems, making the Cray system even more powerful in practice.
The five grand challenge problems already running in production mode at large scale on ORNL's Cray X1E supercomputer are:
"We are excited that the Cray X1E system is already enabling research communities to make breakthrough advances on a range of grand challenge science problems," said Cray Inc. president and CEO Peter Ungaro. "We are committed to helping ORNL meet its aggressive goal to create the world's most powerful computing resource for open science."
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.
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.
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.
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.
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.