Visit additional Tabor Communication Publications
November 29, 2010
Nov. 29 -- NCSA staff, Blue Waters collaborators, and Blue Waters undergraduate interns all took home awards from the SC10 conference.
Torsten Hoefler, who leads performance modeling and simulation efforts for the Blue Waters sustained-petaflop supercomputer project, earned the SC10 best technical paper award for "Characterizing the Influence of System Noise on Large-Scale Applications by Simulation." This analysis of the impact of system noise on large-scale parallel application performance in realistic settings was co-authored by Timo Schneider and Andrew Lumsdaine at Indiana University. To download the full article, go to http://www.unixer.de/publications/index.php?pub=108.
A team of undergraduate students, four of whom participated in the Blue Waters Undergraduate Petascale Education Program, won the SC10 Education Program's student programming contest. The nine participating teams had to solve questions in physics, biology, mathematics and computer science, and system benchmarking. The winning team included Ivan Babic (Earlham College), Ben Cousins (Clemson University), Leon Durivage (Winona State University), Brandon Holt (University of Wisconsin-Eau Claire), and Daniel Gerbig (University of Minnesota-Twin Cities).
And at the co-located 3rd IEEE Workshop on Many-Task Computing on Grids and Supercomputers (MTAGS10) the best paper award went to a team of Blue Waters collaborators from the University of Chicago and Argonne National Laboratory -- Timothy G. Armstrong, Zhao Zhang, Daniel S. Katz, Michael Wilde, and Ian T. Foster -- for "Scheduling Many-Task Workloads on Supercomputers: Dealing with Trailing Tasks."
For more information about NCSA's participation in SC10, see www.ncsa.illinois.edu/extreme-scale.
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.