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A compact Multi-Chip-Module Implementation of a Multi-Precision Neural Network Classifier

Amine Bermak Dominique Martinez 1
1 CORTEX - Neuromimetic intelligence
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : This paper describes a novel Multi-Chip Module (MCM) digital implementation of a reconfigurable multi-precision neural network classifier. The design is based on a scalable systolic architecture with a user defined topology and arithmetic precision of the neural network. Indeed, the MCM integrates 64/32/16 neurons with a corresponding accuracy of 4/8/16-bits. A prototype has been designed and successfully tested in CMOS 0.7 $\mu$m technology.
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https://hal.inria.fr/inria-00108072
Contributor : Publications Loria <>
Submitted on : Thursday, October 19, 2006 - 3:40:46 PM
Last modification on : Friday, February 26, 2021 - 3:28:03 PM

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  • HAL Id : inria-00108072, version 1

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Amine Bermak, Dominique Martinez. A compact Multi-Chip-Module Implementation of a Multi-Precision Neural Network Classifier. IEEE International Symposium on Circuits and Systems - ISCAS'2001, May 2001, Sydney, Australia, pp.249-252. ⟨inria-00108072⟩

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