June 26, 2006
Grid computing has penetrated
well beyond the large research institutions that first developed the
techniques required to virtualize computing resources and has entered
the "early adoption" phase of mainstream commercial computing, says a
new market research study released by the Insight Research Corp.
Grid computing, a type of distributed system, makes it possible to
share computing resources across networks, creating what amounts to
virtual super computers.
According to the report, "Grid Computing: A Vertical Market
Perspective 2006-2011," Insight estimates worldwide Grid spending will
grow from $1.8 billion in 2006 to approximately $24.5 billion in 2011.
Grid spending was examined in 14 vertical industries, with much of the
early adopter spending concentrated in the manufacturing and financial
services industries.
While spending on Grid technology is expected to increase at a
compounded rate of almost 70 percent over the forecast period, the
technology today is still very much in an early adoption phase. Most IT
organizations have built their initial commercial implementation behind
a firewall at a single corporate site.
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.