Visit additional Tabor Communication Publications
November 14, 2011
Organizations join list of 13 elite institutions dedicated to advancing GPU computing research and education
SEATTLE, Nov. 14 -- NVIDIA today added two institutions to the list of 13 global CUDA Centers of Excellence: the Barcelona Supercomputing Center and Lomonosov Moscow State University.
The CUDA Center of Excellence designation is the highest honor given to institutions for ground-breaking work leveraging NVIDIA GPUs and NVIDIA CUDA technology. Recipients receive a range of GPU computing equipment and grants from NVIDIA.
Barcelona Supercomputing Center, a high-performance computing research center associated with the Universitat Politecnica de Catalunya/Barcelona Tech, is Spain's national supercomputing facility and home to one of Europe's most powerful supercomputers, the MareNostrum. It has also recently deployed Spain's fastest compute cluster with 256 NVIDIA Tesla M2090 GPUs and quad-core CPUs, delivering a peak performance of 186 teraflops. The Center's research projects are focused on the fields of computational sciences, life sciences and earth sciences, and its supercomputing systems have been used by hundreds of researchers from over 40 countries.
In addition to offering a range of parallel computing courses and training programs, Barcelona Supercomputing Center today announced plans to build the world's first ARM-based CPU/GPU hybrid supercomputer using energy efficient NVIDIA Tegra ARM CPUs and high-performance NVIDIA CUDA GPUs.
Lomonosov Moscow State University is one of the world's leading supercomputing centers dedicated to applying computational resources to vital scientific problems. Home to more than 40,000 graduate and post-graduate students, and 5,000 researchers, the university hosts four supercomputing clusters, including the 'Lomonsov' system, which is ranked 13th on the Top500 list of the world's most powerful supercomputers.
More than 500 scientific groups from Moscow University, institutes of the Russian Academy of Sciences and other research institutions in Russia use Moscow University's supercomputing center, focused on scientific research across a variety of disciplines. MSU-sponsored research is focused on the following areas: magneto-hydrodynamics, quantum chemistry, seismology, drug design, geology, and material science among others.
Other CUDA Centers of Excellence include: John Hopkins University, Stanford University, Harvard University, Institute of Process Engineering at the Chinese Academy of Sciences, National Taiwan University, Tokyo Tech, Tsinghua University (China), University of Cambridge, University of Illinois at Urbana-Champaign, University of Maryland, University of Tennessee, Georgia Tech, and University of Utah. For more information on the NVIDIA CUDA Center of Excellence program, visit http://research.nvidia.com/content/cuda-centers-excellence.
CUDA is NVIDIA's parallel computing architecture, which enables dramatic increases in computing performance by harnessing the power of GPUs. NVIDIA CUDA GPUs support all GPU computing programming models, APIs, and languages, including CUDA C/C++/Fortran, OpenCL, DirectCompute, and the recently announced Microsoft C++ AMP. More than 470 universities and institutions worldwide teach the CUDA programming model within their curriculum. For more information on NVIDIA CUDA technology, visit www.nvidia.com/cuda.
The Barcelona Supercomputing Center (BSC, www.bsc.es) houses MareNostrum, one of the unique supercomputers in a renovated old chapel-style building. Its mission is to research, develop and manage information technology in order to facilitate scientific progress. With this objective, the center counts with research areas in Computer Sciences, Life Sciences, Earth Sciences and Computational Applications in Science and Engineering. In the context of this multi-disciplinary approach, the BSC has a large number of researchers and experts in HPC (high performing computing), which facilitate scientific progress together with state-of-the-art supercomputing resources. More than 350 people work at BSC on research and 100 of those are from outside Spain. This Spanish multi-disciplinary supercomputing center was established by a consortium made up by the current Ministry of Science and Innovation (MICINN), by the Ministry of Economy and Knowledge of the local Government of Catalonia and by the Universitat Politècnica de Catalunya/Barcelona Tech (UPC) and is headed by Professor Mateo Valero.
About Moscow State University
Lomonosov Moscow State University (MSU - www.msu.ru/en/) is renown as one of the leading computer science centers excelling in application of computational resources to address most vital scientific problems. MSU comprises two separate departments solely dedicated to computer related studies (Faculty of Computational Mathematics and Cybernetics, Research Computing Center of Moscow State University), as well as a number of faculties in the area of natural sciences that have many research groups pursuing state-of-the-art scientific studies using high performance computing in specific areas.
NVIDIA (NASDAQ: NVDA) awakened the world to computer graphics when it invented the GPU in 1999. Today, its processors power a broad range of products from smart phones to supercomputers. NVIDIA's mobile processors are used in cell phones, tablets and auto infotainment systems. PC gamers rely on GPUs to enjoy spectacularly immersive worlds. Professionals use them to create visual effects in movies and design everything from golf clubs to jumbo jets. And researchers utilize GPUs to advance the frontiers of science with high-performance computing. The company holds more than 2,100 patents worldwide, including ones covering ideas essential to modern computing. For more information, see www.nvidia.com.
Source: NVIDIA Corp.
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.