HPCwire: Mercury Releases Middleware for Linux Clusters

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April 06, 2007

Mercury Releases Middleware for Linux Clusters

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CHELMSFORD, Mass., April 5 -- Mercury Computer Systems, Inc. released a binary distribution of its Parallel Acceleration System (PAS) middleware to High Performance Embedded Computing Software Initiative (HPEC-SI) members for use on a Georgia Tech Research Institute (GTRI) 64-node Linux cluster. This powerful development lab system is based on commercial-off-the-shelf (COTS) x86 computers. Members of the HPEC-SI working group are now evaluating PAS as middleware which allows straightforward migration of Parallel Vector Signal Image Processing Library++ (Parallel VSIPL++) implementations between benign environment workstations, parallel Linux clusters, and ruggedized, deployable multicomputer platforms.

"CodeSourcery leverages the GTRI cluster in the development of Sourcery VSIPL++, our optimized implementation of the Parallel VSIPL++ API," said Jules Bergmann, Software Architect of CodeSourcery. "The availability of PAS middleware in a standard Linux x86 cluster will greatly ease development by allowing embedded applications to be coded on lab systems and then migrated to rugged, deployed multicomputers."

PAS is Mercury's optimized middleware for data movement among compute nodes in scalable, high-performance embedded computing applications. The HPEC-SI distribution makes PAS available for non-Mercury hardware platforms for the first time. The release implements PAS over standard TCP/IP to facilitate the easy migration of the PAS application programming interface (API) to a wide variety of target environments. PAS is supported on all Mercury multicomputer system platforms and has been implemented to run on a variety of fabrics including RapidIO, InfiniBand, and Ethernet.

Parallel VSIPL++ builds upon VSIPL which is an open standard mathematical subroutine application programming interface (API). Parallel VSIPL++ extends VSIPL by adding an initial component of data movement functionality targeted at distributed, embedded signal and image processing applications. Application partitioning, which traditionally has been hardware-dependent, is expressed in Parallel VSIPL++ using a data object constructor. This allows algorithm developers to concentrate on mathematics without having to focus undue attention on the memory, processor, and switch fabric details of the target platform.

"Parallel VSIPL++ is a major step toward meeting the grand challenge of software development ? 'write-once, run-anywhere'. It is a breakthrough for C++ embedded developers, allowing them to code portable mathematical expressions," said Eran Strod, Director of Product Marketing for the defense business at Mercury.

Mercury plans to make a click-through license of the PAS Linux-x86 TCP/IP reference distribution available on its website. For more information on Mercury's Parallel Acceleration System (PAS), visit http://www.mc.com/products/view/index.cfm?type=software&id=16

About CodeSourcery

CodeSourcery, a Mercury software alliance partner, builds software tools that enable its customers to get the most out of hardware platforms ranging from embedded devices to supercomputers. Sourcery VSIPL++, a portable, parallel signal- and image-processing toolkit, boosts performance and dramatically increases productivity for radar, sonar, and imaging applications. CodeSourcery is a privately held California company.

Mercury Computer Systems, Inc. – Where Challenges Drive Innovation

Mercury Computer Systems is the leading provider of computing systems and software for data-intensive applications that include image processing, signal processing, and visualization. With a strong commitment to innovation, our expertise in algorithm optimization, systems development, and silicon design is blended with software application knowledge and industry-standard technologies to solve unique computing challenges. We work closely with our customers to architect solutions that have a meaningful impact on everyday life: detecting aneurysms; designing safer, more fuel-efficient aircraft; identifying security threats; discovering oil; developing new drugs; and visualizing virtually every aspect of scientific investigation.

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