July 28, 2010
Evans Data Corporation recently ranked IBM as the number one choice for developers for private cloud services this year, an announcement based on a poll of over 400 developers who were asked several questions about what they desired most in a cloud services provider. The final results of the questionnaire revealed that developers were likely to rank the providers based on “security, reliability, uptime and proven experience.”
In an interview with MSNBC this week, Elliot Lowen, a cloud analyst from BTC Logic stated that one of the reasons why IBM came out on top of the rankings is because of experience in the industry with the technology itself following behind. Indeed, it could be possible that many valued IBM higher simply because of possible trust in the company’s experience versus an objective review of its offerings. While developers seemed pleased with the technology, the expertise, which is often an overlooked element that factors into decisions about cloud services across the board, is among the most important aspects.
Full story at MSNBC
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.