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Nov 03, 2009 |
Is cloud computing today's hot technology that promises to lower TCO, reduce energy costs, and enable dynamic, agile datacenters -- or is it just the latest hype? That is, will cloud computing really happen and will it deliver on its promises? And what does it mean for high performance computing?
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Nov 03, 2009 |
The number of cloud offerings for HPC users seems to be growing by the day. In this article, we attempt to aggregate all the current vendors with products that address the cloud delivery model for high performance computing applications.
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Nov 02, 2009 |
Writing and implementing high performance computing applications is all about efficiency, parallelism, scalability, cache optimizations and making best use of whatever resources are available -- be they multicore processors or application accelerators, such as FPGAs or GPUs. HPC applications have been developed for, and successfully run on, grids for many years now.
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Nov 02, 2009 |
Grid computing was born in academia and was originally designed to support scientific and research computing. In contrast, cloud computing has a business background and is designed to enable the delivery of scalable Web applications. The BEinGRID project has looked into how Grid is appropriate for business use, but what about looking at whether the cloud is useful for academia?
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Nov 02, 2009 |
High-end, public cloud computing offerings represent a convergence of grid and Internet technologies, potentially enabling workable new business models. Smaller, private clouds are a technical evolution that expands the ease of use and deployment of grids in more organizations.
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Nov 02, 2009 |
Time and again, people ask questions like "Will HPC move to the cloud?" or "Now that cloud computing is accepted, are grids dead?" or even "Should I now build my grid in the cloud?" Despite all the promising developments in the grid and cloud computing space, and the avalanche of publications and talks on this subject, many people still seem to be confused and hesitant to take the next step.
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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 |
he 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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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.