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Fault-Tolerant Neuromorphic Computing With Memristors Using Functional ATPG for Efficient Recalibration | IEEE Journals & Magazine | IEEE Xplore

Fault-Tolerant Neuromorphic Computing With Memristors Using Functional ATPG for Efficient Recalibration


Abstract:

This article focuses on recalibration of neural networks implemented in neuromorphic in-memory computing with memristors. The primary goal of the article is to reduce the...Show More

Abstract:

This article focuses on recalibration of neural networks implemented in neuromorphic in-memory computing with memristors. The primary goal of the article is to reduce the amount of data required for recalibration which makes it particularly useful in scenarios where data availability is limited or where recalibration overhead is a concern. Moreover, the proposed approach is robust against both process and temperature variations at a significantly lower overhead compared to related works. This practical method addresses an important issue that can affect the accuracy of neural networks implemented using emerging resistive nonvolatile memories.
Published in: IEEE Design & Test ( Volume: 40, Issue: 4, August 2023)
Page(s): 42 - 50
Date of Publication: 03 May 2023

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