29 June 2000 3DANN-R: A tera-op convolution engine for image processing
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A commercial version of the 3D Artificial Neural Network has been developed under a collaborative effort between JPL and Irvine Sensors, sponsored by BMDO and the U.S. Air Force. It is capable of continuous trillion eight bit multiply and add operations per second while consuming under ten watts. Its architecture, input-output characteristics, and performance data will be presented.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
John C. Carson, John C. Carson, David E. Ludwig, David E. Ludwig, "3DANN-R: A tera-op convolution engine for image processing", Proc. SPIE 4041, Visual Information Processing IX, (29 June 2000); doi: 10.1117/12.390474; https://doi.org/10.1117/12.390474

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