November 15, 2004
JBoss Inc announced it has been elected by program members of the Java Community Process (JCP) to the Executive Committee (EC) for the Standard/Enterprise Edition (SE/EE). JBoss was elected to the SE/EE Executive Committee alongside Google and Intel and will serve as a voting member for three years, helping guide the evolution of Java technologies.
"JBoss is gratified by this vote of confidence from JCP members to represent them in the Executive Committee where we hope to contribute our technical strengths to help shape the future of Java technology," said Marc Fleury, chairman and CEO of JBoss Inc. "JBoss is committed to the Java platform and standards technologies that will continue to keep the development process open and transparent. We look forward to working with other members of the SE/EE Executive Committee to ensure ongoing advances in Java technologies."
EC members guide the evolution of the Java technologies. Their specific responsibilities include voting on all technologies/Java Specification Requests (JSRs) developed through the JCP program; selecting JSRs for development; approving draft Specifications for Public Review; approving Final Specifications; reviewing TCK appeals; approving Maintenance revisions and possibly deferring some features to a new JSR; approving transfer of maintenance duties between members; and providing overall guidance to the Program Management Office (PMO).
"I am pleased to welcome JBoss to the JCP SE/EE Executive Committee, where the company's expertise in the J2EE(TM) technology and their background in open source software methodology will add important value to the Java Community," said Onno Kluyt, senior director and chair of the Java Community Process Program at Sun Microsystems. "JBoss's election by their peers in the JCP program to this important Executive Committee position is a testament to the shared common interest that underlies the community in the advancement of compatible Java implementations."
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.
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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).
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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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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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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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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.