May 14, 2012
Osman Kent of Numecent will appear as one of 15 select 'CEOs on Stage'
IRVINE, Calif., May 14 — Numecent, the innovator behind the "Cloudpaging" technology that launched to widespread acclaim in March of 2012, today announced that CEO Osman Kent will appear as one of 15 select 'CEOs on Stage' at the NVIDIA Emerging Company Summit.
To be held on May 16 in San Jose, California, as part of the GPU Technology Conference, NVIDIA invited 15 of the most innovative and promising startups to participate and showcase the latest disruptive technologies that are revolutionizing the mobile and computer markets. Presenting CEOs pitch their companies, products and strategies to a panel of leading investors, analysts and technology leaders, who in turn provide insightful feedback regarding these leading-edge technologies.
Numecent was selected for participation in the event due its invention and commercialization of cloudpaging, a groundbreaking and patented solution that delivers native software instructions using demand-paging from the cloud. Using an innovative "virtual MMU" (Memory Management Unit), cloudpaging provides a truly friction-free experience of practically any Microsoft Windows software from the cloud and delivers it between 20x and 100x faster than a digital download.
Once a tiny portion of the application is delivered using cloudpaging, it immediately starts executing inside a secure 'sandbox' without actually requiring any installation on the target device. Cloudpaged software can even be used offline without a network connection.
Numecent www.numecent.com is a pioneer and technology leader in rapid and secure digital delivery, deployment and provisioning of native software and other non-linear assets through virtualization. Its groundbreaking cloudpaging technology can reduce the network footprint of an application by up to 100x when delivering from the Cloud and executes it natively on the local client, at full speed and without installation.
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.