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Ambric, Inc. 15655 SW Greystone Ct. Suite 150 Beaverton, OR 97006 Area Code 503 601-6500 Voice 601-6596 Fax
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Am2000 Family Massively Parallel Processor ArrayAmbric introduced its teraOPS-class Am2000 family of massively parallel processor arrays (MPPAs) at In-Stat's Fall Microprocessor Forum in October, '06.
The Am2000 family of MPPAs offers a profoundly easier development method compared to FPGAs hardware design methods or the nightmarish synchronization problems of programming multiple-DSPs. Ambric's Structural Object Programming Model (SOPM) is the key that unlocks engineering productivity and quality for high-performance embedded computing. Please contact our sales department for more information.
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NewsAmbric fellow, Mike Butts, to present paper at IEEE FCCM Ambric to demo the Apple port of the Am2045 GT™ video reference platform for MPEG-2 and H.264, with Adobe integration for Flash and Blu-Ray; enhanced developer tools and boards; and the Am2045 massively parallel processor array at NAB 2008 Ambric to showcase the new aDesigner™ tool suite and the Am2045 MPPA and development board; and participate in the Multicore Technical Track at ESC 2008 Ambric and MainConcept Collaborate to Accelerate High Definition Video Compression Ambric Increases Productivity in the Programming of Massively Parallel Processors With New Release of aDesigner Tool Suite Ambric to showcase the new aDesigner Tool Suite and the Am2045 MPPA
and development board; and give a talk at Multicore Expo 2008 Ambric to showcase its Am2045 MPPA device and present a paper at SPIE Defense+Security 2008 Ambric Am2045 GT Video Reference Platform Brings Hardware-Accelerated Performance to Adobe Premiere Pro CS3 Ambric's TeraOPS-class Am2045 GT Video Reference Platform Enables Price-Performance Breakthrough Video Compression Products From Two OEMs
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The only way to continue to deliver significantly higher levels of performance with power efficiency now and in the long run is by massive parallelism. Our solution to the architectural and programming challenges of massive parallelism clears the way to its practical adoption. The key to a practical solution for embedded computing was a relentless focus on the right programming model first; then Ambric invented new hardware architectures and circuit designs to enable this programming model.
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