ACADEMIA

AUSTIN, TX -- United Devices, a leader in distributed computing software and services, announced today the availability of the MetaProcessor platform 3.0, the industry's leading solution for incorporating underutilized compute resources into enterprise grids. The latest version of the MetaProcessor platform incorporates Web services standards such as XML, SOAP and WSDL that enable organizations to more seamlessly integrate existing applications to run on enterprise grids. The forward-looking architecture is aligned with the direction of the Open Grid Standards Architecture (OGSA) specification endorsed by the Global Grid Forum (GGF). "The future of Grid computing is quickly being defined," said Jikku Venkat, vice president of engineering for United Devices. "We have designed the MetaProcessor platform to be able to quickly integrate new Grid standards as they emerge, as well as fully exploit the potential of Web services." Adding to industry-leading features in scalability, security and manageability, United Devices has extended functionality in the areas of grid integration, application migration, and workload and data management. Grid Integration Allows for organizations to build Web services-based Application Services that easily integrate a distributed computing framework into an enterprise environment. Features the MetaProcessor Grid Services Interface, an XML and SOAP-based interface supporting over 20 programming languages; and the Software Developer's Kit, a comprehensive toolkit for migrating applications to a distributed computing architecture. Application Migration Offers broad flexibility to developers and reduces the time to prepare applications for distributed computing without compromising end-to-end security. Quick and seamless migration of applications without modifying source code or by using minimal application API's. Automatic encryption and compression of data on compute nodes throughout the grid. Workload and Data Management Ability to run ad-hoc, batch jobs, characteristic of cluster-based computing, as well as data-intensive, demanding jobs that require high degrees of parallelization. Use of familiar interfaces for submitting and managing jobs distributed to the grid, in addition to the ability to engage in research of unprecedented scope. By leveraging assets they already own, enterprises can expand the scope of research, accelerate the delivery of results to market, and drive product quality while controlling or even reducing computing budgets. In most large corporations, the computing power represented by the underutilized compute resources exceeds the power of traditional high-performance computing assets in the data center. Visit www.ud.com/home.htm for more information.