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Derrick Harris
A Tale of Two Continents, Pt. II
Post Date: June 05, 2006 @ 10:40 AM, Pacific Daylight Time
Blog: The Essence of 'On-Demand'
GRIDtoday editor Derrick Harris clarifies somewhat last week's comments about Europe's lead in Grid usage, and introduces this week's issue, which features two commentaries by authors with different views as to why Europe seems to have an edge in Grid computing.
Derrick Harris
What Do Envy, EMEA and XBox Have in Common?
Post Date: May 22, 2006 @ 10:51 AM, Pacific Daylight Time
Blog: The Essence of 'On-Demand'
The answer to that question, of course, is that they all make an appearance in this week's issue. This week's exclusive features include a Q&A with representatives from HP about the EMEA region, and an article from HPCwire about a cluster-based grid that will leave others envious. Also discussed is a UK contest where students and young professionals can win an XBox 360 (among other prizes) for thinking of innovative uses for Grid technology.
Derrick Harris
The Journalist and the Grid
Post Date: April 17, 2006 @ 2:14 PM, Pacific Daylight Time
Blog: The Essence of 'On-Demand'
In this new weekly feature, GRIDtoday editor Derrick Harris will give readers a glimpse into this week's issue and some of its more interesting articles. Commentary and insight about Grid computing, in general, will also be included. This week, for example, Harris describes his small-scale, but successful, experience with the Sun Grid.
2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | Recent
Keeping tabs on the trends making IT more agile and more efficient, from automation to virtualization.
Derrick Harris is the Editor of On-Demand Enterprise
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.