Visit additional Tabor Communication Publications
September 21, 2010
SAN JOSE, Calif., and MOSCOW, Sept. 21 -- At the GPU Technology Conference today, T-Platforms Group, a leading provider of HPC systems, software, services and solutions, in conjunction with NVIDIA, unveiled the TB2-TL, a new high-density, heterogeneous computing solution.
The T-Platforms TB2-TL represents a new breed of high-density computing systems, combined with industry-leading performance-per-watt ratio. The first system to use the NVIDIA Tesla X2070 GPU, the TB2-TL is in a class by itself as the densest HPC solution coming to the market. The combination of the T-Platforms T-Blade 2 packaging and the NVIDIA Tesla 20-series GPUs enables 1 petaFLOPS+ level performance in only ten standard racks.
Architected for the high end of the supercomputer market, the TB2-TL system enables customers to reach 105TF of peak DP performance in just one standard 19" rack, while achieving a record-breaking 1450 MFLOPS/W performance-per-watt ratio -- another industry first for T-Platforms. The 7U chassis is packed with 32 Tesla 20-series GPUs and 32 Intel Xeon L5600 series CPU's, up to 3GB of memory per CPU core along with 192GB of GDDR5 RAM, 2 QDR 36-port Infiniband switches, and a management and switching module containing optional FPGA-governed Global Barrier and Global Interrupt networks to support extreme scale systems.
Extraordinary energy efficiency is achieved by using an innovative L-shaped heat sink providing the necessary heat dissipation for the entire TB2-TL blade board equipped with Tesla 20-series GPUs, CPUs and mezzanine memory modules, greatly improving on standard blade tray design used by other system manufacturers.
The single TB2-TL provides almost 4x the performance increase over the same enclosure packed with 64 Intel Xeon E5670 CPUs, while drawing the same amount of power and positioned in a similar price range. Additionally, the T-Platforms Clustrx operating system enables full support for heterogeneous hardware and software environments with near real-time monitoring of petaFLOPS-level installations. The TB2-TL's combination of price/performance, power/performance and petascale-ready operating system makes extreme scale computing available to a wider range of users than ever before.
"The T-Platforms T-Blade 2 is an exceptional accomplishment that delivers high compute density and petaflop class scalability," said Andy Keane, general manager, Tesla business at NVIDIA. "T-Platforms innovative system also sets a new bar in power efficiency -- which has rapidly become the most important factor in supercomputer design."
To ensure the maximum level of performance, each Tesla GPU card is routed through the dedicated Intel 5520 North Bridge chip and has a dedicated single port QDR Infiniband chip, providing necessary bandwidth for intra- and inter-node traffic.
To provide further flexibility, the TB2 chassis design allows customers to mix and match Tesla-based TL blades and pure Intel Xeon blades to match the processor ratios required by different applications.
"We designed this solution for the high end segment of the supercomputer market," said Vsevolod Opanasenko, CEO of T-Platforms. "Working with NVIDIA, we have architected the world's most dense blade system while achieving a performance to power consumption ratio twice that of the top system now listed in the Green500. The TB2-TL will support petascale operations today while giving our customers the infrastructure necessary for the eventual transition to exascale."
"Moscow State University (MSU) is at the forefront of academic research and we are interested in deploying potential GPU-based solutions to identify applications that allow HPC users to increase their productivity and lower computational costs," said Vladimir Voevidin, deputy director of the Research Computing Center at MSU.
The TB2-TL will be available from T-Platforms for select customers in the fourth quarter of 2010 with general availability in the first quarter of 2011. The T-Platforms TB2-TL is an ideal solution for the most demanding applications in segments such as oil and gas, bioinformatics, financial services, CAE, and climate solutions, requiring the versatility and scalability of heterogeneous systems with unparalleled performance.
T-Platforms will be showcasing the new Tesla GPU-based HPC solutions at Booth 29 during the GPU Technology Conference, September 20-23, 2010, at the San Jose Convention Center.
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.
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.