Visit additional Tabor Communication Publications
December 14, 2009
NTU achieves breakthrough results in sub-atomic particle calculations at 1 percent the cost and 10 percent the power consumption of a BlueGene/L supercomputer
TAIPEI, Taiwan, Dec. 14 -- A research team at National Taiwan University (NTU) is achieving breakthrough results in learning about the early evolution of the universe by harnessing NVIDIA Tesla parallel processors -- which provide the computational horsepower of an IBM BlueGene/L supercomputer, at just 1 percent the cost and 10 percent the power consumption.
The team, led by Ting-Wai Chiu, Professor of Physics and Associate Director of the Center for Quantum Science and Engineering (CQSE), is studying the interactions of sub-atomic particles, to learn about the origins of the universe, which requires enormous computational power.
NTU is carrying out this work on the first GPU-based supercomputer in Taiwan, the 128-GPU cluster at CQSE, which uses 16 NVIDIA Tesla S1070 1U systems and 64 Tesla C1060 processors. The system plays a key role in large-scale computations for quantum physics, ranging from the strong interaction at the subatomic scale to the strongly correlated electrons in condensed matter physics, and to the cosmology at the astronomical scale.
"We are excited to see our GPU-based cluster outperform many conventional supercomputers in both cost and energy use," said Chiu. "With our GPU-enabled supercomputer, we are delivering 15 teraflops at a price of US$200,000, 1 percent the cost of a conventional supercomputer like IBM BlueGene/L."
"It's deeply rewarding to see NVIDIA Tesla GPUs helping professionals and researchers achieve amazing breakthroughs in their work," said Andy Keane, general manager, Tesla business, NVIDIA. "The exceptional speed-up being seen by NTU has the ability to dramatically accelerate the research into one of life's biggest and most complex scientific challenges."
NVIDIA Tesla GPUs are based on CUDA, NVIDIA's computing architecture that enables its GPUs to be programmed using industry standard programming languages and APIs, opening up their massive parallel processing power to a broad range of applications beyond graphics. The CQSE has developed highly efficient CUDA-optimized codes for the computationally challenging problems in QCD, quantum spin systems, and astrophysics.
In addition, the lattice QCD group (TWQCD) based at National Taiwan University is now the first group in the world to use a GPU cluster to perform large-scale simulations of lattice QCD with exact chiral symmetry.
For more information about NVIDIA Tesla GPUs, visit www.nvidia.com/tesla.
NVIDIA (Nasdaq: NVDA) awakened the world to the power of computer graphics when it invented the graphics processing unit (GPU) in 1999. Since then, it has consistently set new standards in visual computing with breathtaking, interactive graphics available on devices ranging from portable media players to notebooks to workstations. NVIDIA's expertise in programmable GPUs has led to breakthroughs in parallel processing which make supercomputing inexpensive and widely accessible. Fortune magazine has ranked NVIDIA #1 in innovation in the semiconductor industry for two years in a row. For more information, see 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...
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.
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....
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.
May 10, 2013 |
Program provides cash awards up to $10,000 for the best open-source end-user applications deployed on 100G network.
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...
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.
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.