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Pooch Launches Java on Clusters with Leopard --> Click for Further Details


Reno, NV, USA - November 13, 2007 - At Supercomputing 2007, Dauger Research, Inc., announces version 1.7.5 of Pooch (Parallel OperatiOn and Control Heuristic application) and Pooch Pro clustering software. Pooch clustering technology, in both functionality and user interface design, updates to Apple's Mac OS X 10.5 "Leopard". It also supports running Java code on Mac clusters by supporting MPJ Express, an MPI-style implementation for clustering with Java. Pooch technology alone combines powerful, numerically-intensive parallel-computing clusters with the famed ease-of-use of the Macintosh, applying the best of cluster and grid computing.

"We have a long history of growing with renovations to the Macintosh, and Leopard is no exception", said Dr. Dean Dauger, President of Dauger Research, Inc. "We bring the best and most flexible user experience to supercomputer-compatible clusters by being truly 'ad hoc' and supporting a wide range of configurations. Now we can utilize optimized Java implementations for clustering too."

Winner of IEEE Cluster's "most innovative" award, Pooch technology merges a modern graphical user interface with supercomputer-compatible parallel computing. Version 1.7.5 features updates prompted by the latest Mac OS X 10.5. Its graphics user interface into the cluster reflects the refreshed Finder, while its infrastructure updates address a wide variety of under-the-hood changes in Leopard. MPJ Express, an MPI-like Java implementation for distributed-memory parallel computing, provides a means for Java to enter high-performance computing. Working with the new Pooch, MPJ jobs can be directed and managed from a modern user interface. The AppleScript interface is enhanced particularly in the area of its "playlist"-like node lists to further support applications of Mac clusters.

Pooch uses Bonjour for automatic node configuration and discovery, supports multicore by treating each core as a "virtual node", including Intel Core's, and launches parallelized Universal Applications onto a cluster, the first and only clustering solution to do so. The Dauger Research Vault presents eight tutorials extensively describing how to develop parallel applications and algorithms. Users can access tutorials outlining the different types of parallel computing, detailed MPI information, and descriptions, with example code in Fortran and C, of the basics of writing parallel code. Visitors to the web site can download GUI and command-line installers containing a trial Pooch, sample parallel applications and source code, a Software Development Kit, and full documentation. Dauger Research provides the easiest way to write, develop, and run your parallel code today.  

Dauger Research will release Pooch and Pooch Pro v1.7.5 on November 21, when updates will ship to Pooch users whose subscriptions are active. At Supercomputing 2007, the company partners with Advanced Cluster Systems in Exhibit booth #177 and presents in the Exhibitor Forum room A7 on Thursday focusing on the Supercomputing Engine for Mathematica. All attendees are invited.

Pooch v1.7.5 is available for US$175 for the first compute node then US$125 for each node thereafter. Pooch Pro v1.7.5 is available for US$200 for the first compute node then US$150 for each node thereafter. Users may order Pooch and other software using the forms on our web site or online through the Dauger Research Store. See the web site for special academic pricing.

Pooch requires networked Macintoshes and/or Xserves running Mac OS 9 with CarbonLib 1.2 or later, Mac OS X 10.2 or later, and/or Mac OS X Server 10.2 or later with 8 MB of available RAM and 2 MB of disk space. Pooch Pro requires Mac OS X 10.2 or later, and/or Mac OS X Server 10.2 or later.

Profiled and honored on national television by the William Shatner-hosted "Keeping America Strong" show, Dauger Research, Inc. makes high-performance computation and visualization easy to use and accessible to users. Our award-winning team, to better accomplish our scientific goals, reinvented the cluster computer in 1998, pioneering easy-to-use, high-performance clusters. Dauger Research, Inc., is committed to bridging the divides between the scientifically and technically complex and the mainstream.  

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