Device Variability Analysis for Memristive Material Implication
Simon Michael Laube, Nima TaheriNejad

TL;DR
This paper analyzes how device variability affects memristive IMPLY logic, deriving constraints and identifying critical parameters to guide reliable design and implementation of memristor-based logic circuits.
Contribution
It provides analytical constraints and simulation validation for memristive IMPLY robustness, highlighting the importance of threshold voltage and offering design guidelines.
Findings
Threshold voltage is the most critical parameter.
Static switching condition analysis is insufficient for robustness assessment.
Parameter ranges for correct IMPLY operation are identified.
Abstract
Currently, memristor devices suffer from variability between devices and from cycle to cycle. In this work, we study the impact of device variations on memristive Material Implication (IMPLY). New constraints for different parameters and variables are analytically derived and compared to extensive simulation results, covering single gate and 1T1R crossbar structures. We show that a static analysis based on switching conditions is not sufficient for an overall assessment of robustness against device variability. Furthermore, we outline parameter ranges within which the IMPLY gate is predicted to produce correct output values. Our study shows that threshold voltage is the most critical parameter. This work helps scientists and engineers to understand the pitfalls of designing reliable IMPLY-based calculation units better and design them with more ease. Moreover, these analyses can be used…
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Taxonomy
TopicsAdvanced Memory and Neural Computing · Neuroscience and Neural Engineering · Ferroelectric and Negative Capacitance Devices
