November 20, 2006
The University of Oklahoma's (OU)
Supercomputing Center for Education and Research (OSCER) plans to
standardize on Platform LSF for their high performance computing (HPC)
needs and to serve the OU science and engineering communities with
research facilitation and educational programs crucial to their
studies. OSCER is leading an initiative at OU to help students, faculty
and staff improve their research with the use of HPC technologies and
succeed and innovate across physical sciences, biosciences, engineering
and computer science.
"As OSCER deploys Platform LSF across OU's computational resources, they have a number of programs underway to support and maximize the investment," said OSCER Director, Henry Neeman.
OSCER's "Supercomputing in Plain English" workshops for both experienced and new HPC users have been facilitating the sharing of knowledge across the University. OSCER's innovative "rounds" program has been providing HPC expertise to dozens of research groups, propelling forward projects that otherwise would stagnate for lack of computing experience. In addition, OSCER has been working with instructors to facilitate HPC-based courses, and OU is looking longer term at developing interdisciplinary computational science and engineering curricula.
A newly announced National Science Foundation CI-TEAM grant will expand OSCER's unique education and research facilitation approach to over a dozen other institutions, including a high school, several community colleges, bachelors-granting, masters-granting and research universities. This initiative will add dozens of new HPC users, many of whom have minimal HPC experience and enable them to become highly productive researchers. Future opportunities are also being investigated, including an inter-institutional grid with the University of Arkansas.
"Standardizing on stable, reliable commercial workload management software is critically important for us to be able to aggressively move forward on a number of research initiatives that will showcase OU's tremendous talent pool and knowledge," said Neeman. "Our ability to obtain new funding and to attract high quality researchers and students is a direct result of our HPC program."
"OSCER's adoption of Platform LSF site-wide lays the groundwork for the development of new and unique opportunities for OU's HPC program," said Jim Johnson, vice president of marketing, Platform Computing. "Schools can intelligently manage large compute workloads across hardware in many different locations. This will minimize the previous high cost of expanding their existing grid and maintaining underused machines."
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.
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.
04/02/2012 | AMD | Developers today are just beginning to explore the potential of heterogeneous computing, but the potential for this new paradigm is huge. This brief article reviews how the technology might impact a range of application development areas, including client experiences and cloud-based data management. As platforms like OpenCL continue to evolve, the benefits of heterogeneous computing will become even more accessible. Use this quick article to jump-start your own thinking on heterogeneous computing.