November 27, 2006
Red Hat has announced that strategic members of Red Hat's broad ecosystem of independent software vendors (ISVs) are already supporting and testing Red Hat Enterprise Linux 5 Beta 2 to prepare for Red Hat's next major subscription milestone. These software partners have begun testing to ensure early certification of their solutions at general availability of Red Hat Enterprise Linux 5 this winter and to guarantee that customers can benefit from the new technologies and cost-savings as quickly as possible.
"The ISV community is key to Red Hat's success. Over the last 5 years we have worked with the broad ISV community to ensure that customers have as many quality choices as possible when building architectures based on open source," said Tim Yeaton, senior vice president of enterprise solutions, Red Hat. "Together with the ISV community, we'll continue to have the best depth and breadth of applications for the success of our customers.”
Red Hat Enterprise Linux 5, to be released in early 2007, is the next major subscription milestone of Red Hat's flagship platform solution. With a continued focus on technologies designed to drive costs out of the infrastructure, Red Hat Enterprise Linux 5 will aim to deliver complete, integrated, commercial-strength virtualization.
The Red Hat ISV Partner Program continues to attract industry-leading solution providers whose applications support the Red Hat Enterprise Linux operating system. The goal of the program has been to ensure that there are as many choices as possible for customers building architectures based on open source. Early partners in the program included IBM, Oracle, Computer Associates and BEA Systems. Many existing partners have worked over time to ensure that entire lines of enterprise applications support Red Hat Enterprise Linux. More than 2,000 ISV applications now support Red Hat Enterprise Linux.
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 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.
May 10, 2013 |
Australian visual effects company, Animal Logic, is considering a move to the public cloud.
May 10, 2013 |
Program provides cash awards up to $10,000 for the best open-source end-user applications deployed on 100G network.
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.