February 04, 2013
SUNNYVALE, Calif. & YOKNEAM, Israel, Feb. 4 – Mellanox Technologies, Ltd., a leading supplier of high-performance, end-to-end interconnect solutions for data center servers and storage systems, today announced the promotion of Amir Prescher to senior vice president of business development. Mr. Prescher will continue to report to Eyal Waldman, Mellanox’s president, chairman and CEO.
“I am very pleased to promote Amir Prescher to senior vice president of business development. Amir has been instrumental in garnering and accelerating traction of Mellanox’s interconnect solutions into the Web 2.0, cloud, database and financial services markets,” said Eyal Waldman, chairman, president and CEO of Mellanox Technologies. “I look forward to his continued leadership to further Mellanox’s penetration into new and existing markets and with key end-customers around the world. I wish Amir success in his new extended role.”
Amir Prescher has served as Mellanox’s senior vice president of business development since February 2013. Previously, Mr. Prescher was Mellanox’s vice president of business development from February 2011 to January 2013. Prior to Mellanox, Mr. Prescher was a founder of Voltaire where he served in various capacities, including executive vice president of business development from 2008 to 2011, vice president of business development from 2001 to 2008,vice president of marketing from 1999 to 2008, and from 1997 to 1999, as vice president of research and development. Prior to Voltaire, Mr. Prescher served as an officer in Israel’s Defense Forces Technical Intelligence Unit. Mr. Prescher studied at Tel-Aviv University with a focus in electricity and electronics engineering.
Mellanox Technologies is a leading supplier of end-to-end InfiniBand and Ethernet interconnect solutions and services for servers and storage. Mellanox interconnect solutions increase data center efficiency by providing the highest throughput and lowest latency, delivering data faster to applications and unlocking system performance capability. Mellanox offers a choice of fast interconnect products: adapters, switches, software and silicon that accelerate application runtime and maximize business results for a wide range of markets including high performance computing, enterprise data centers, Web 2.0, cloud, storage and financial services.
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.
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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.