December 19, 2005
Leveraging Rackable Systems' half-depth, highly dense, rack-mount servers powered by dual-core AMD Opteron processors, UF was able to triple its compute power in half the space occupied by its previous cluster. By deploying DC-powered nodes, UF also achieved significant savings in power and cooling while greatly enhancing overall reliability.
"As one of the nation's leading research institutions, our distributed-memory cluster must run the most demanding and computationally intensive scientific and engineering applications available while maintaining a high level of performance and reliability," said Charles Taylor, senior HPC systems engineer at the University of Florida. "Rackable Systems provided a complete package of clustered servers and storage that tripled our computational capacity while reducing our power and cooling costs -- all in less than half the space of our previous cluster."
The university also deployed Rackable Systems servers at its Tier-2 Center, a member of a global Grid computing infrastructure supporting the CMS (Compact Muon Solenoid) experiment and other computationally intensive scientific applications.
"Rackable Systems' efficient, DC-powered servers and well-designed clusters allowed us to greatly increase our processing capability while reducing operational costs," said Jorge Luis Rodriguez, lead scientist for the University of Florida's CMS Tier-2 Center.
"World-class HPC research facilities like the University of Florida are increasingly choosing Rackable Systems servers and storage for their data centers," said Tom Barton, president and CEO of Rackable Systems. "As the need for maximum compute performance and storage capacity continues to rise, organizations require solutions that are more efficiently powered, cooled and maintained. We look forward to working closely with UF to provide the industry's most advanced data center solutions for their computing needs."
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).
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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.
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The private industry least likely to adopt public cloud services for data storage are financial institutions. Holding the most sensitive and heavily-regulated of data types, personal financial information, banks and similar institutions are mostly moving towards private cloud services – and doing so at great cost.
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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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May 10, 2013 |
Australian visual effects company, Animal Logic, is considering a move to the public cloud.
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May 10, 2013 |
Program provides cash awards up to $10,000 for the best open-source end-user applications deployed on 100G network.
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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.