Visit additional Tabor Communication Publications
December 18, 2008
BERKELEY, Calif. Dec. 18 -- Researchers tackling some of the most challenging scientific problems, from improving energy efficiency in combustion devices to developing new particle accelerators for scientific discovery to studying properties of new materials, have been awarded access to supercomputing resources at the Department of Energy's (DOE) National Energy Research Scientific Computing Center (NERSC).
The awards, announced Dec. 18 by DOE's Office of Science, are made under the Innovative and Novel Computational Impact on Theory and Experiment (INCITE) Program. In all, seven projects were awarded a total of 17,460,000 processor-hours after a competitive review. Launched in 2003, INCITE selects projects that not only require large-scale and intensive use of supercomputers but also promise to deliver a significant advance in science and engineering.
Managed by Lawrence Berkeley National Laboratory, NERSC is home to a 38,000 processor Cray XT supercomputer and is one of the four DOE supercomputer centers providing resources for these INCITE projects. Supercomputer allocations are measured in processor-hours. INCITE science applications typically run on thousands of processors simultaneously, so a job using 8,000 processors and running for eight hours would use 64,000 processor-hours.
In addition to supporting the special INCITE projects, NERSC resources are also allocated by DOE to serve about 3,000 researchers at national laboratories and universities across the country. As the flagship computing facility for the DOE Office of Science, NERSC provided the only computing resources available during the first two years of the INCITE program.
"As the original home of the INCITE program, NERSC staff are working to provide the necessary support for advancing these high-impact science projects while maintaining our commitment to all other users, whose work has broad impacts across all scientific disciplines," said NERSC Division Director Katherine Yelick.
Here are descriptions of the seven INCITE projects awarded computing time at NERSC:
Eight Berkeley Lab researchers also will take part in three INCITE projects using resources at other DOE supercomputing centers. An LBNL team of Lin-Wang Wang, Juan Meza and Zhengji Zhao was awarded 3 million processor-hours on supercomputers at Argonne and Oak Ridge national laboratories to continue theiraward-winning research into nanomaterials which could be used to make solar cells. Additionally, Ann Almgren, John Bell and Marc Day will participate in a project studying supernovae combustion, while David Bailey, Leonid Oliker and Kathy Yelick are members of a team studing methods to improve the effectiveness of supercomputers.
Details about each 2009 INICTE project can be found at http://www.sc.doe.gov/ascr/incite.
The Office of Science is the nation's largest supporter of basic research in physical sciences. More information about the 2008 INCITE allocations can be found at http://www.sc.doe.gov/ascr/INCITE/index.html.
The NERSC Center is the flagship scientific computing facility for DOE's Office of Science. Located at Lawrence Berkeley National Laboratory in Berkeley, Calif., NERSC enables interdisciplinary teams of scientists to address fundamental problems in science and engineering that require massive calculations and have broad scientific and economic impacts. Go to http://www.nersc.gov for more information.
Source: National Energy Research Scientific Computing Center (NERSC)
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).
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.
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...
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.