November 14, 2011
SEATTLE, Nov. 14 — SC11 — The HPC Advisory Council, a leading worldwide organization for high-performance computing research, development, outreach and education, today announced it has reached over 150 best practices and installation guidelines for over 40 high-performance applications. The HPC Advisory Council provides best practices and installation guidelines which, through experience and research, have shown to improve clustering and applications efficiency, scalability and productivity.
"The Council's best practices result in faster simulations, quicker time-to-market for consumer-based products, ease-of-use for IT staff when setting up and maintaining clusters, and are expected to maximize the return on HPC infrastructure investments," said Gilad Shainer, chairman of the HPC Advisory Council. "In just over three years, the Council has become a valuable resource for IT end-users who require open source or commercial HPC and cloud-based application performance guidelines and best practices for some of their most important networking and infrastructure purchasing decisions. We welcome new application best practices suggestions from the HPC community and look forward to continually enriching our publication database."
The HPC Advisory Council, with its large library of best practices and guidelines, is providing the HPC end-user community valuable information to improve their system and application usage. Such applications include, but not limited to, automotive design, weather forecasting, chemical and biological interactions, crash simulations, and atmospheric research. For more information, visit the HPC Advisory Council Best Practices website.
Visit the HPC Advisory Council at SC11 (Nov 14-18, 2011)
Visit the HPC Advisory Council at booth #853 to learn more about the organization's worldwide HPC training, best practices, workshops and educational outreach programs. In addition, find out more about how you and your organization can join the growing list of companies and end-user organizations in the HPC Advisory Council.
The HPC Advisory Council will also present at the following SC11 sessions:
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. For more information about the HPC Advisory Council, visit www.hpcadvisorycouncil.com.
Source: HPC Advisory Council
The ever-growing complexity of scientific and engineering problems continues to pose new computational challenges. Thus, we present a novel federation model that enables end-users with the ability to aggregate heterogeneous resource scale problems. The feasibility of this federation model has been proven, in the context of the UberCloud HPC Experiment, by gathering the most comprehensive information to date on the effects of pillars on microfluid channel flow.
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).
Frank Ding, engineering analysis & technical computing manager at Simpson Strong-Tie, discussed the advantages of utilizing the cloud for occasional scientific computing, identified the obstacles to doing so, and proposed workarounds to some of those obstacles.
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 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.
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