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Taking The Grid Across The Entire Enterprise


A few years ago Citigroup's Capital Markets division faced a problem that most large trading enterprises were also confronting: an ever-increasing need for processing power to handle the risk management, market analysis and pricing applications that make the capital markets division tick, but limited space and budget to expand their data centers. The rub was that except at times of peak demand, processor utilization hovered around 30 percent, says John van Uden, director of infrastructure and FICC Shared Services Technology at Citigroup. Now, four years into its implementation of a massive grid computing project, Citigroup has grown its grid far outside the traditional batch processing function into a fully developed shared services model.


Full story at U.S. Banker

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Avoiding Scientific Computing Bottlenecks in the Cloud

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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Overcoming the Cloud Security Barrier for Financial Services

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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Research Roundup: Toward a More Efficient Cloud

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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Best Practices in Big Data Storage

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.

Exploring the Potential of Heterogeneous Computing

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.

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