October 18, 2012
IRVING, Texas, Oct. 18 — NEC Corporation of America (NEC), a leading provider and integrator of advanced IT, communications, managed services and biometric solutions, today announced the launch of its NEC Cloud solutions and expansion of the portfolio to include transformational services that help customers navigate successfully as they move business functions to the cloud.
NEC Cloud leverages NEC's deep experience of delivering enterprise class Managed and Integrated IT solutions, including NEC's proven Software Defined Networking (SDN) product family (award-winning ProgrammableFlow networking and Nblock infrastructure), and UNIVERGE Cloud communications solutions to its customers.
NEC Cloud offerings share three core characteristics:
The NEC Cloud portfolio includes four core solutions: Private Infrastructure as a Service; Unified Communications as a Service; Enterprise Applications as a Service; and Testing as a Service. Solutions are delivered through three deployment models: private cloud, hybrid cloud, and public cloud.
"The NEC Cloud offerings are a natural extension of NEC's proven track record of delivering business value through integrated solutions that leverage our broad global technology portfolio," said Harumi Ikeda, executive vice president, Cloud Business Development, NEC Corporation of America. "We understand our customers' challenges as they move to the cloud, and our consultative approach simplifies these complexities throughout the cloud lifecycle."
"By taking a transformational approach, NEC provides cloud solutions that reduce the complexities customers encounter when transitioning critical business functions to the cloud," said Vinod Muthuswamy, vice president, NEC Managed and Cloud Services. "We reduce risk by establishing a baseline of the current environment, identifying business requirements, and determining the future business strategy so that customers can fully leverage the advantages of the cloud."
NEC will continue to focus its cloud solutions on higher value infrastructure, applications and managed services that enable business transformation of the enterprise.
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.
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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.
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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.