December 11, 2006
The Grid Institute is pleased to announce that Dr. Aake Edlund, a Grid security expert with the Royal Institute of Technology, has joined MediaGrid.org as an Invited Expert to participate in the development of international standards for storing, delivering and processing digital media in Grid computing environments. As the Security Head of Europe's Enabling Grids for E-sciencE (EGEE) initiative, and a researcher at Sweden's Royal Institute of Technology, Dr. Edlund will contribute his expertise in Grid security to the Media Grid through the following MediaGrid.org technology working groups:
"We welcome Dr. Edlund as a member of MediaGrid.org and look forward to working closely with him on Media Grid security standards," said Aaron E. Walsh, director of the Grid Institute's MediaGrid.org standards organization. "Edlund's extensive experience with Grid security and digital media, especially digital video and interactive 3D, uniquely qualifies him for an Invited Expert appointment with the Media Grid," continued Walsh.
In response to the appointment Dr. Edlund stated, "I'm honored to receive an Invited Expert membership with MediaGrid.org and to contribute my experience with security, which is an important and non-trivial concern in Grid environments. In addition I'm looking forward to participating in the development of Grid-based quality of service (QoS) standards, and approaching the technical challenges ahead. The timing of the Media Grid is perfect."
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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In this week's hand-picked assortment, researchers explore the path to more energy-efficient cloud datacenters, investigate new frameworks and runtime environments that are compatible with Windows Azure, and design a unified programming model for diverse data-intensive cloud computing paradigms.
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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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May 08, 2013 |
For engineers looking to leverage high-performance computing, the accessibility of a cloud-based approach is a powerful draw, but there are costs that may not be readily apparent.
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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.