December 05, 2005
"We selected DataSynapse due to its strong domain expertise in the financial services industry," said Herve Viciguerra, CEO of Sophis. "DataSynapse has proved itself successful in joint client deployments, and through the innovative use of Grid computing we will bring our customers a robust and seamless solution that dramatically improves time-to-results, application resiliency and resource utilization."
Under the agreement, the two companies will jointly develop and deploy the solution and will deliver formalized sales support services. Customers will gain from improved scaling, performance, reliability and manageability of front-to-back-office trading through the optimized out-of-the-box joint solution.
Rick Moran, DataSynapse senior vice president of business development, said, "As we continue to build our network of worldwide partners, our strategy has been simple: to work with the very best firms in the industry. Our partnership with Sophis will enable us to identify new client opportunities and extend the adoption of grid to its customer base. Through GridServer, Sophis customers can now easily support an increase in trading volume without having to incur additional development or support costs."
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.