Visit additional Tabor Communication Publications
December 04, 2012
SUNNYVALE, Calif., Dec. 4 – The HPC Advisory Council, a leading organization for high-performance computing research, outreach and education, today announced the formation of the HPC Advisory Council Stanford High-Performance Computing Conference on February 7th and 8th, 2013 at Stanford, California. The conference will focus on High-Performance Computing (HPC) usage models and benefits, the future of supercomputing, latest technology developments, best practices and advanced HPC topics. The conference is open to the public and will bring together system managers, researchers, developers, computational scientists and industry affiliates. Speaking and sponsorship opportunities are available on a limited basis.
“The Stanford HPC Conference is now in its 7th year of being offered free of charge, thanks to our conference sponsors,” said Steve Jones, Founder and Director, Stanford HPC Center. “Collaboration with the HPC Advisory Council has allowed us to advance our outreach mission, bring world-class speakers and attendees to the conference, and offer workshops and tutorials delivered by industry leaders.”
“We are pleased to continue our collaboration with Stanford University and look forward to another successful worldwide HPC Advisory Council conference,” said Gilad Shainer, Chairman of the HPC Advisory Council. “The HPC Advisory Council’s worldwide conferences and workshops are excellent educational opportunities for HPC and data center IT professionals who are looking to deploy or provide additional enhancements and functionality to their advanced high-performance solutions.”
The conference is free to the public, and will include coffee breaks and lunch courtesy of the HPC Advisory Council and Stanford University. Registration is required and can be made at the HPC Advisory Council Stanford Conference website.
The HPC Advisory Council Stanford Conference is sponsored by the following companies: AMD, Mellanox Technologies, Panasas, and Xyratex. Media sponsorship and coverage is being provided by HPCwire and insideHPC. A limited amount of sponsorship opportunities are still available. More information on sponsoring the workshop may be found on the HPC Advisory Council Stanford Conference website.
About the HPC Advisory Council
The HPC Advisory Council’s mission is to bridge the gap between high-performance computing (HPC) use and its potential, bring the beneficial capabilities of HPC to new users for better research, education, innovation and product manufacturing, bring users the expertise needed to operate HPC systems, provide application designers with the tools needed to enable parallel computing, and to strengthen the qualification and integration of HPC system products.
Source: HPC Advisory Council
In quieter times, sounding the bell of funding big science with big systems tends to resonate further than when ears are already burning with sour economic and national security news. For exascale's future, however, the time could be ripe to instill some sense of urgency....
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).
May 23, 2013 |
The study of climate change is one of those scientific problems where it is almost essential to model the entire Earth to attain accurate results and make worthwhile predictions. In an attempt to make climate science more accessible to smaller research facilities, NASA introduced what they call ‘Climate in a Box,’ a system they note acts as a desktop supercomputer.
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.
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.