Advanced Imaging


Industry News

Updated: November 17th, 2008 10:19 AM CDT

Mercury Computer Systems Unveils Multi-GPU Development Platform for Embedded, High-Performance Sensor Stream Computing and Exploitation

via PRNewswire

that enables them to put the data exploitation processing on the platform -- and closer to the sensor."

Moving data exploitation processing on the platform and closer to the sensor is especially important, as the time it takes to get information out of today's dissemination architecture is not aligned with the tempo of market requirements -- whether the market is semiconductor inspection or ISR (Intelligence, Surveillance, and Reconnaissance). For ISR in particular, ground-based exploitation takes tremendous amounts of time; data processing bandwidth; and resources, or information analysts, who need to apply multiple looks (sensors) to accurately survey a potential threat, and subsequently exploit the data manually.

On September 15, 2008 , Mercury introduced the Converged Sensor Network(TM) (CSN(TM)), a single, unified architecture that combines sensor signal processing with information management technologies to enable the convergence of multiple sensors, missions, and users in order to deliver transformational access to information in the tactical edge, or battlefield. The Sensor Stream Computing Platform addresses the issues of time, bandwidth, and resources targeted at deployable, rugged applications in the ISR space, and it is well-aligned to enable the CSN Architecture.

Customer shipments of the Mercury Sensor Stream Computing Platform are planned for early 2009. For more information on Mercury's Sensor Stream Computing Platform, visit Mercury in Booth #1734 at MILCOM 2008, at the Convention Center in San Diego, California , November 17-19 ; visit; or contact Mercury at (866) 627-6951 or at

* GPU VSIPL: High-Performance VSIPL Implementation for GPUs, Georgia Institute of Technology, Georgia Tech Research Institute,

Mercury Computer Systems, Inc. - Where Challenges Drive Innovation(TM)

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