November 19, 2008
AUSTIN, Texas, Nov. 19 -- SC08 -- NVIDIA has announced today that it has begun a close collaboration with NEC to integrate NVIDIA Tesla GPUs into its systems for the high performance computing (HPC) industry. NEC brings extensive experience as a major solution provider in the HPC market to the partnership which will see powerful, parallel GPU Computing solutions deployed into a range of industries.
"This partnership is an important step for NEC to promote a total solution business including heterogeneous or hybrid computing technologies," said Mr. Fumihiko Hisamitsu, general manager of NEC's high performance computing marketing promotion division. "NEC will offer unique HPC solutions to our joint customers and will work with NVIDIA globally to specify Tesla solutions for customers designing high performance computing clusters."
"We are delighted to have an organization of NEC's caliber supporting the Tesla business," said Andy Keane, general manager of the GPU Computing business at NVIDIA. "Their industry and segment experience will deliver enormous value to our joint customers and will help to deliver truly transformative results to the work they are doing."
The first customer to leverage this collaboration is the Global Scientific Information and Computing Center (GSIC) at Tokyo Institute of Technology, whose TSUBAME supercomputer has lead the supercomputing scene both in Japan and globally for the past 2.5 years. TSUBAME was upgraded in Oct 2008 with 680 NVIDIA Tesla GPUs, unprecedentedly while the system remained in operation. The newly upgraded system recorded 77.48 Teraflops in Linpack, ranking it high in the global Top 500 supercomputer listing.
NVIDIA Tesla GPU Computing processors are revolutionizing industries such as oil and gas, finance, medical and life science. In many cases, processing tasks that are simply not possible on CPU-based clusters and workstations are being enabled by the Tesla 10-series products. Each Tesla processor has 240 cores, providing 1 Teraflop of processing power, along with 4GB of onboard memory. The new NVIDIA Tesla S1070 1U system features four Tesla 10-series processors -- for a total of 960 cores and 4 Teraflops of processing power.
For more information on NEC High Performance Computing systems, visit www.nec.co.jp/hpc and for more information on NVIDIA Tesla GPU Computing solutions, visit www.nvidia.com/tesla.
About NVIDIA
NVIDIA (Nasdaq: NVDA), is the world leader in visual computing technologies and the inventor of the GPU, a high-performance processor which generates breathtaking, interactive graphics on workstations, personal computers, game consoles, and mobile devices. NVIDIA serves the entertainment and consumer market with its GeForce graphics products, the professional design and visualization market with its Quadro graphics products, and the high-performance computing market with its Tesla computing solutions products. NVIDIA is headquartered in Santa Clara, Calif., and has offices throughout Asia, Europe, and the Americas. For more information, visit www.nvidia.com.
-----
Source: NVIDIA Corp.
The Xeon Phi coprocessor might be the new kid on the high performance block, but out of all first-rate kickers of the Intel tires, the Texas Advanced Computing Center (TACC) got the first real jab with its new top ten Stampede system.We talk with the center's Karl Schultz about the challenges of programming for Phi--but more specifically, the optimization...
Read more...
Although Horst Simon was named Deputy Director of Lawrence Berkeley National Laboratory, he maintains his strong ties to the scientific computing community as an editor of the TOP500 list and as an invited speaker at conferences.
Read more...
Supercomputing veteran, Bo Ewald, has been neck-deep in bleeding edge system development since his twelve-year stint at Cray Research back in the mid-1980s, which was followed by his tenure at large organizations like SGI and startups, including Scale Eight Corporation and Linux Networx. He has put his weight behind quantum company....
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...
May 10, 2013 |
Program provides cash awards up to $10,000 for the best open-source end-user applications deployed on 100G network.
Read more...
May 09, 2013 |
The Japanese government has revealed its plans to best its previous K Computer efforts with what they hope will be the first exascale system...
Read more...
May 08, 2013 |
For engineers looking to leverage high-performance computing, the accessibility of a cloud-based approach is a powerful draw, but there are costs that may not be readily apparent.
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.