Visit additional Tabor Communication Publications
December 01, 2010
MOSCOW, Dec. 1 -- T-Platforms Group, a leading provider of systems, software, services and solutions for high performance computing, has won an open tender to deliver and install the second phase of expansion of the powerful Lomonosov supercomputer at M.V. Lomonosov Moscow State University (MSU). The contract, worth roughly 25 million dollars (USD), provides for increasing the overall supercomputer performance up to 1.3 petaflops (quadrillion operations per second).
Currently, T-Platforms is working on the first stage of the Lomonosov supercomputer expansion project which will enable the system to reach a peak performance level of 510 teraflops before the end of December. The second stage, which will increase the peak processing capacity by another 800 teraflops, bringing the total system peak performance level to 1.3 PFLOPS, will be based on the latest TB2-TLTM hybrid blade system from T-Platforms equipped with Nvidia's TeslaTM X2070 GPUs. Due to the unique compute density of the new platform, only eight standard computer cabinets are required to expand Lomonosov, with each one providing peak performance of 100 teraflops in double-precision operations. The new solution has allowed MSU to reduce the price/performance ratio down to a record-breaking $31,000 per TFLOPS.
The solution will also include an additional 100 terabytes of high-reliability storage for user data, and will increase the archive system volume up to 1 petabyte. Additionally, the network infrastructure will be expanded, however, since the engineering infrastructure installed during the first stage of the Lomonosov supercomputer project was originally designed for system expansion up to 1 petaflops, additional power and cooling infrastructure is not required.
The first stage of Lomonosov, currently operating and based on Intel Xeon processors, will be integrated with the new hybrid system based on GPUs through a shared InfiniBand interconnect infrastructure, which will allow the two systems to operate as a single computer.
Per the contract agreement, delivery of most of the equipment will be completed before the end of this year, and the commissioning of the complex will be completed at the end of the second quarter, 2011.
Established in 2002, T-Platforms Group has completed more than 200 supercomputer installations and is rapidly emerging as one of the leading global HPC companies, providing comprehensive supercomputing systems, software and services, with customer installations consistently included on the TOP500 worldwide list of the most powerful supercomputers. T-Platforms Group develops, installs and maintains complete turn-key solutions for high performance computing environments and datacenters, specializing in innovative hardware and software solution suites designed with the scalability requirements of petascale, and eventually exascale-class supercomputer installations.
T-Platforms Group consists of T-Platforms, T-Services, T-Massive Computing, and T-Design, with locations in Hannover, Moscow, Kiev and Taipei. For more information on T-Platforms Group, see www.t-platforms.com.
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....
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..
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).
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.