3DANN-R: A tera-op convolution engine for image processing

John C. Carson; David E. Ludwig

doi:10.1117/12.390474

29 June 2000 3DANN-R: A tera-op convolution engine for image processing

John C. Carson, David E. Ludwig

Proceedings Volume 4041, Visual Information Processing IX; (2000) https://doi.org/10.1117/12.390474
Event: AeroSense 2000, 2000, Orlando, FL, United States

Abstract

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.

Citation Download Citation

John C. Carson and David E. Ludwig "3DANN-R: A tera-op convolution engine for image processing", Proc. SPIE 4041, Visual Information Processing IX, (29 June 2000); https://doi.org/10.1117/12.390474

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