March 21, 2011
March 21, 2011 -- The Technical and High Performance Computing Innovation Partner of the Year Award recognizes an ISV or SI partner which enables scientists, engineers and analysts in solving world’s most complex problems through simulation and modeling.
Partners that enable simulation and modeling innovatively in the cloud using Windows HPC Server, burst capability, Windows Azure and Microsoft Parallel Development Platform are encouraged to apply. Successful entrants will showcase innovation, competitive differentiation, and potential impact in solving problems that impact the world and society.
To be eligible for this award, you must be:
· An ISV who has developed a technical computing (data and/or compute intensive modeling & simulation) application that is generally available or is in active development stage and can be demonstrated real time by 05/01/2011
· An SI who has developed a technical computing (data and/or compute intensive modeling & simulation) application or an application framework that is in use at a customer site in production mode or is in active development stage and can be demonstrated real time by 05/01/2011
· Listed as an expert for Microsoft Windows HPC Servers at http://www.microsoft.com/hpc/en/us/partners/find-windows-hpc-expert.aspx#.ptISV
WPC 2011 Award submissions are now open:
The Microsoft WPC Partner Awards submission period runs from March 18, 2011 until April 15, 2011. This year, the Awards program is being enhanced with new categories and awards that give you more opportunities to gain recognition and showcase your company’s groundbreaking customer solutions built on Microsoft technologies.
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.
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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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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.
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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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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.