August 16, 2010
According to a survey conducted by Bank Systems and Technology in conjunction with Information Week Anaytics, 73 percent of respondents in the banking industry stated that they would be able to meet demand and achieve the needed degree of scale in the cloud.
In an article that appeared in BankTech, Accuenture’s financial services division expert David Boyle claimed that those in the banking industry are “looking at the infrastructure they use for development and testing, and they’re looking to access and leverage lower-cost environments they can tap via the cloud.” In his experiences working with major banks in the U.S., some have moved all testing and development operations into the cloud as standard practice to better manage provisioning and resources.
Despite the optimistic view that falls in line with others from major research groups who predict massive cloud movement in the next few years, only “42 percent of bankers plan to deliver just 1 percent to 9 percent of IT services over the cloud in the next 24 months.” The survey goes on to note that more than a third of respondents (37 percent) expect to deliver 10 percent to 25 percent of IT services over a cloud over the next two years” and that only a small number had plans to take anything over one-quarter of their tech virtual in the same amount of time.”
The march to the cloud is gaining momentum, but at this point, it’s only in theory rather than in practice. The same holds true for others who are understandably cautious about taking any of their mission-critical operations into virtual space. Testing and development is a start, but it might be some years before the cloud is the standard for anything outside of resource-heavy tasks like application development and testing.
Full story at BankTech
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.
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).
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.
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.