Visit additional Tabor Communication Publications
February 28, 2013
Feb. 28 — 2013 is the year that large scale heterogeneous computing becomes a reality. Systems such as Blue Waters, Stampede, and Titan take a major step from modest scale, heterogeneous test beds and prototypes to world-class, extreme-scale heterogeneous computing systems. Through the use of these systems, the science and engineering community has access to excellent resources and services to experience multiple ways to harness manycore processes for their applications.
The NSF funded Blue Waters and eXtreme Science and Engineering Discovery Environment (XSEDE) projects are hosting the seventh in a series of Extreme Scaling workshops. The workshop will address large scale heterogeneous computing through a series of talks and discussions for sharing experiences and successes making use of the new types resources of GPUs and manycore processors. This workshop is set up to provide a sufficient period of time for science and engineering teams to gain understanding on utilizing these systems to advance their applications while still having time to exchange and learn best practices.
The workshop goal is to inform research and education communities about how to effectively utilize large numbers of accelerated nodes. The dissemination of information will occur through presentations, discussions, and workshop proceedings that will include recommendations from the presenters and participants who have had experience with these technologies. The workshop organizers plan to seek ACM SIG affiliation to include the proceedings in the ACM digital library.
The workshop committee seeks submissions of excellent quality addressing your experiences with the following challenges:
Two types of submissions are encouraged from scientists, engineers, scholars, and high-performance technologists from colleges, universities, laboratories, industry, HPC centers, and other organizations conducting related work.
There will be discussion time after the paper presentations and after the panels on needed improvements. Workshop proceedings will be produced that will include the accepted papers and white papers and a summary of recommendations from the discussions among the presenters and participants.
Send submissions to Scott Lathrop at email@example.com by May 15, 2013. Notice of acceptances will be issued by June 1, 2013.
May 15: Paper abstracts and white paper submissions due.
June 1: Acceptances issued.
June 10: Workshop registration opens.
July 1: Final papers due.
Aug. 15-16: Workshop held at University of Colorado, Boulder
Registration, Travel and Accommodations
A registration fee of $150 covers the cost of food and beverages provided at the workshop: breakfast, lunch and dinner on Monday, and breakfast and lunch on Tuesday.
A block of rooms will be reserved at a hotel that is within walking distance of the meeting location in Boulder. The room rates in our block are $124/night plus taxes.
Participants are responsible for the cost of their own travel and accommodations and making their own travel arrangements. There is a shuttle available to transport people between the Denver airport and Boulder for about $33/person. Additional details about housing and travel will be made available on the web site.
WORKSHOP WEBSITE: https://www.xsede.org/web/xscale/xscale13
Source: EGI and XSEDE
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).
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...
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.
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.