May 05, 2011
NEWARK, Del., May 5 -- EM Photonics announced today that the Tokyo Institute of Technology has added its GPU-accelerated linear algebra library CULA tools to its supercomputer TSUBAME 2.0. The 4-year site license agreement was facilitated by Best Systems, one of EM Photonics' major resellers in Japan. Best Systems was selected for its experience in providing high-performance computing solutions to Japanese universities and government agencies.
The Tokyo Institute of Technology (Tokyo Tech) is the largest science and technology university in Japan. Tokyo Tech is also home to Japan's first petaflop performance supercomputer, TSUBAME 2.0, ranked #4 on the Top 500 list of the world's fastest supercomputers. CULA has been installed on TSUBAME 2.0 and will benefit not only Tokyo Tech's scientists, but also external users from commercial companies and other academic organizations.
"I believe there is a large need for a GPU-optimized linear algebra library such as CULA in Japan," said Katsuya Nishi, CEO of Best Systems. "TSUBAME 2.0 is a great example of how the Japanese scientific community has embraced GPGPU computing on a petaflop scale. The trend is for an even greater adoption of GPUs across all major segments, including industry, government and higher education. Having a comprehensive GPU library like CULA in our portfolio gives us a great competitive edge."
"The majority of the achievable FLOPS in TSUBAME 2.0 is due to the power of the GPUs, so it is essential that we provide as comprehensive a software stack to utilize them to their fullest potential as possible," indicated Professor Satoshi Matsuoka, the TSUBAME 2.0 leader. "CULA will be an extremely valuable part of the portfolio, allowing our scientists to conduct large scale simulations at unprecedented speeds," added Prof. Matsuoka.
"We are pleased to have Best Systems as one of our major resellers in Japan. They enable us to connect to top tier research institutions and innovative technology corporations throughout Japan. We are confident that they can help us reach hundreds of other similar users for our product," said Eric Kelmelis, CEO of EM Photonics.
As a reseller for companies including most of supercomputer manufacturers, the Portland Group (PGI), and Rogue Wave, Best Systems provides not only sales support, but also HPC consulting services to clients.
About EM Photonics and CULAtools
EM Photonics is a recognized leader in implementing computationally intense algorithms on commodity hardware platforms. Using specialized computer architectures such as GPUs and FPGAs, EM Photonics accelerates their clients' applications to achieve better, faster results. CULAtools leverages NVIDIA's CUDA architecture to provide users linear algebra functions with unsurpassed performance. The company also offers consulting services and custom-designed tools to commercial, government, and academic organizations seeking to optimize their scientific computing, image processing, and numerical analysis applications. For more, visit www.emphotonics.com and www.culatools.com.
------
Source: EM Photonics
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.