Binarized Neural Network with Stochastic Memristors

Olga Krestinskaya; Otaniyoz Otaniyozov; Alex Pappachen James

doi:10.1109/AICAS.2019.8771565

Binarized Neural Network with Stochastic Memristors

Olga Krestinskaya, Otaniyoz Otaniyozov, Alex Pappachen James

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

4 Scopus citations

Abstract

This paper proposes the analog hardware implementation of Binarized Neural Network (BNN). Most of the existing hardware implementations of neural networks do not consider the memristor variability issue and its effect on the overall system performance. In this work, we investigate the variability in memristive devices in crossbar dot product computation and leakage currents in the proposed BNN, and show how it effects the overall system performance.

Original language	English (US)
Title of host publication	Proceedings 2019 IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	274-275
Number of pages	2
ISBN (Print)	9781538678848
DOIs	https://doi.org/10.1109/AICAS.2019.8771565
State	Published - Mar 1 2019
Externally published	Yes

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10.1109/AICAS.2019.8771565

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title = "Binarized Neural Network with Stochastic Memristors",

abstract = "This paper proposes the analog hardware implementation of Binarized Neural Network (BNN). Most of the existing hardware implementations of neural networks do not consider the memristor variability issue and its effect on the overall system performance. In this work, we investigate the variability in memristive devices in crossbar dot product computation and leakage currents in the proposed BNN, and show how it effects the overall system performance.",

author = "Olga Krestinskaya and Otaniyoz Otaniyozov and James, {Alex Pappachen}",

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Binarized Neural Network with Stochastic Memristors. / Krestinskaya, Olga; Otaniyozov, Otaniyoz; James, Alex Pappachen.
Proceedings 2019 IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2019. Institute of Electrical and Electronics Engineers Inc., 2019. p. 274-275.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AU - James, Alex Pappachen

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AB - This paper proposes the analog hardware implementation of Binarized Neural Network (BNN). Most of the existing hardware implementations of neural networks do not consider the memristor variability issue and its effect on the overall system performance. In this work, we investigate the variability in memristive devices in crossbar dot product computation and leakage currents in the proposed BNN, and show how it effects the overall system performance.

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DO - 10.1109/AICAS.2019.8771565

M3 - Conference contribution

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BT - Proceedings 2019 IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2019

PB - Institute of Electrical and Electronics Engineers Inc.

ER -

Binarized Neural Network with Stochastic Memristors

Abstract

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