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Communication Dans Un Congrès Année : 2011

Robust neural logic block (NLB) based on memristor crossbar array

Weisheng Zhao
  • Fonction : Auteur
IEF
Damien Querlioz
Jacques-Olivier Klein
  • Fonction : Auteur
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Résumé

—Neural networks are considered as promising candidates for implementing functions in memristor crossbar array with high tolerance to device defects and variations. Based on such arrays, Neural Logic Blocks (NLB) with learning capability can be built to replace Configurable Logic Block (CLB) in programmable logic circuits. In this article, we describe a neural learning method to implement Boolean functions in memristor NLB. By using Monte-Carlo simulation, we demonstrate its high robustness against most important device defects and variations, like static defects and memristor voltage threshold variability.
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Dates et versions

hal-01832345 , version 1 (07-07-2018)

Identifiants

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Djaafar Chabi, Weisheng Zhao, Damien Querlioz, Jacques-Olivier Klein. Robust neural logic block (NLB) based on memristor crossbar array. 2011 IEEE/ACM International Symposium on Nanoscale Architectures (NANOARCH), Jun 2011, San Diego, United States. ⟨10.1109/NANOARCH.2011.5941495⟩. ⟨hal-01832345⟩
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