June 26, 2012
Global analyst firm IDC: "Increased business revenue from the IT innovation enabled by cloud could reach $1.1 trillion a year by 2015 across the globe."
HOUSTON and PARIS, June 25 — To capitalize on the European demand for cloud, long-time allies BMC Software (NASDAQ: BMC) and Capgemini have significantly expanded their relationship to help European customers accelerate cloud adoption while also satisfying EU regulations concerning security, privacy and energy consumption.
"BMC Remedy OnDemand speeds up our ability to roll out new IT services and resolve incidents while reducing the overall cost of service management deployments," said Steve Wanklin, Capgemini's senior vice president and head of global operations of Infrastructure Services. "As a market leader in the Software-as-a-Service, we are proud that BMC has trusted us to be their infrastructure provider of choice for the European market. We feel that the combination of BMC technology and Capgemini services will enhance our leading position in service management and integration here in Europe."
Paul Avenant, BMC's president for Enterprise Service Management, said: "As one of our first Remedy customers, Capgemini has credentials in this area that are second to none. This elevated go-to-market partnership makes BMC the largest provider of cloud-based IT service management solutions in Europe, with Capgemini becoming the largest global partner for BMC Remedy OnDemand. We believe that this expanded partnership between two proven market leaders will enable our customers to dramatically reduce their IT operations costs, while fully meeting the regulatory requirements around security, privacy and energy consumption."
For more information about BMC and its Remedy OnDemand solution, visit:
 Source: IDC White Paper sponsored by Microsoft, "Cloud Computing's Role in Job Creation, " Doc #233532, March 2012.
Source: BMC Software, Inc.
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.
May 23, 2013 |
The study of climate change is one of those scientific problems where it is almost essential to model the entire Earth to attain accurate results and make worthwhile predictions. In an attempt to make climate science more accessible to smaller research facilities, NASA introduced what they call ‘Climate in a Box,’ a system they note acts as a desktop supercomputer.
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.
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.