November 15, 2004
CollabNet, a provider of on demand distributed software development solutions, announced it is seeing a rise in the influence of corporate-initiated open source collaborative development projects which are being used to further the evolution of proprietary hardware and software applications. Much of the increased momentum stems from the wide success many open source communities have had including Sun Microsystems' sponsored OpenOffice.org, NetBeans.org, and Grid Engine projects, and the realization of the many benefits open source development provides.
In contrast to a traditional closed model which limits development to a defined group of programmers, open source development allows thousands of programmers from different companies in various industries to read, modify, and improve software source code. The benefits of open source to organizations are far reaching as the collaborative effort reduces both the time and cost associated with developing software, and improves the overall quality of applications by relying on a greater number of experts to fix problems and enhance functionality.
"By drawing on an expanded network of developers, open source development has yielded the creation of some of the IT industry's most important products in major categories including operating systems, Web servers and browsers, databases and application servers," said Brian Behlendorf, founder and CTO at CollabNet and a founder of the Apache Software Foundation. "We are now seeing the application of open source techniques and approaches being used in corporate environments to help build both internal IT applications and commercial applications and becoming a part of the mainstream business environment."
CollabNet currently hosts open source community development projects for a number of the world's largest companies including investment bank Dresdner Kleinwort Wasserstein, Intel, BEA Systems, Sybase and Sun Microsystems.
"At first glance, a financial services firm running an open source project may seem like an oxymoron. However, working with CollabNet we have been able to increase the number of developers on a key piece of integration technology and establish it as a standard in the financial services industry," stated JP Rangaswami, CIO of Dresdner Kleinwort Wasserstein. "CollabNet provides the ideal development environment for both open source communities and distributed entities because it is designed for the wide-area network, delivered on demand as a managed service, and is methodology neutral allowing organizations to employ the development methodologies best suited for them."
The development model derived from open source projects has also been taking off inside organizations as businesses are looking for ways to maximize their development efforts in distributed and globally dispersed/offshore environments.
"Agile development methodologies have rapidly grown in popularity over the past several years and share many common foundational concepts with open source development including cross-team code visibility, peer review, and continuous integration and testing throughout the application lifecycle. Enterprises can use these techniques within a wide range of environments including offshore and onshore distributed locations, corporate-initiated community projects, private cooperatives, and closed internal communities," said Bill Portelli, president and CEO of CollabNet. "So, even enterprises that may not be interested in open sourcing their code to outside developers can take advantage of the techniques and benefits of open source methodologies to reduce the total cost of developing applications."
Some of the companies and government agencies using open source techniques and approaches inside their organizations include Motorola, Barclays Global Investors, HP, Samsung, and the Defense Information Systems Agency (DISA). Also, the Avalanche Technology Cooperative, comprised of industry leaders Jostens, Best Buy, Imation, Nuvolution, Cargill Corp, Thompson Legal & Regulatory, and Medtronic Inc, is utilizing open source principals and the CollabNet environment to share intellectual property across its member organizations.
The CollabNet development environment is helping companies gain business advantage by giving them real-time insight into the overall application development lifecycle and delivering process predictability that allows teams to mitigate business risks. It also reduces application development time through a structured framework within which the sharing and reuse of applications become manageable.
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.
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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.