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March 05, 2013
This is an open invitation to members of our HPC, CAE, life sciences, and big data communities to join us for this third round of the UberCloud Experiment, where we will jointly apply the cloud computing services model to compute and data-intensive workloads on remote cluster computing resources.
To all industry end users, HPC experts, compute resource and software providers: The UberCloud HPC Experiment is making HPC available as a service, for everybody, on demand, at your fingertips, by exploring the end-to-end process of using remote computing resources as a service, and learning how to resolve the many roadblocks.
The HPC Experiment started in July last year with 160 organizations and 25 teams, helping industry end-users to explore access and use of remote computing resources available from HPC centers and from the cloud. Detailed results have been published in the final report and are available upon registration. Then, the second, much improved round of the experiment started last December, with more than 350 organizations and 35 teams as of today and will conclude at the end of March. Now, for round 3 starting April 1, we invite industry end-users, software providers, HPC experts, and resource providers from HPC centers and from the cloud, to join the experiment and collaboratively explore the end-to-end process of remote HPC as a Service, hands on, in 22 well-defined guided steps.
Round 3 will be running from April until the end of June. We are expecting about 400 organizations to form 50 new teams built around industry end-users' applications running on remote computing resources. In addition to our current focus areas of HPC, CAE, and the life sciences we now also invite big data end users and software, services, and consulting providers to join this experiment. The experiment will be conducted more formally, with more automation, and will be even more user-friendly. The 22-step end-to-end process will be better guided, and the Basecamp 'team rooms' for collaboration will be even more comfortable. We will also provide three levels of support: front line (within each team), 2nd level (UberCloud mentors), 3rd level (software & hardware providers), and finally further grow the interactive UberCloud Exhibit services directory.
For an in-depth look at the benefits and challenges associated with the cloud-based computing model, see our full-length feature at HPC in the Cloud.
Full story at HPC in the Cloud
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.
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.