Memristive Crossbar-Based Nonvolatile Memory

Vourkas, Ioannis; Sirakoulis, Georgios Ch.

doi:10.1007/978-3-319-22647-7_5

Cited by 9 publications

(2 citation statements)

References 54 publications

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“…Memristance is conceptually defined as the derivative of flux with respect to electric charge, but it is commonly explained as a resistance that depends on the previous history of the electric charge that passes through it. There are different types of memristors: bipolar or unipolar, filamentary or homogeneous switching [8]. For instance, in the resistive RAM (ReRAM) device assumed in this paper, the change in its memristance is attributed to the creation or destruction of one or more conductive filaments inside the metal-insulatormetal device structure (in line with the soft breakdown of an oxide intermediate layer).…”

Section: Memristor Fundamentals In Briefmentioning

confidence: 99%

An on-line test strategy and analysis for a 1T1R crossbar memory

Escudero-Lopez

Moll

Rubio

et al. 2017

2017 IEEE 23rd International Symposium on on-Line Testing and Robust System Design (IOLTS)

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Abstract-Memristors are emerging devices known by their nonvolability, compatibility with CMOS processes and high density in circuits density in circuits mostly owing to the crossbar nanoarchitecture. One of their most notable applications is in the memory system field. Despite their promising characteristics and the advancements in this emerging technology, variability and reliability are still principal issues for memristors. For these reasons, exploring techniques that check the integrity of circuits is of primary importance. Therefore, this paper proposes a method to perform an on-line test capable to detect a single failure inside the memory crossbar array.

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Section: Memristor Fundamentals In Briefmentioning

confidence: 99%

An on-line test strategy and analysis for a 1T1R crossbar memory

Escudero-Lopez

Moll

Rubio

et al. 2017

2017 IEEE 23rd International Symposium on on-Line Testing and Robust System Design (IOLTS)

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“…Chua's theory of the memristor was however connected with experimental devices only in 2008 by Hewlett-Packard Laboratories and their work on TiO2 RS devices [6]. Memristors are now considered a rapidly emerging technology [7] that creates opportunities to realize innovative circuits and systems with applications such as nonvolatile memory [8], [9], adaptive circuits [10], [11], signal processing [12], and logic/computing [13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Experimental Study of Artificial Neural Networks Using a Digital Memristor Simulator

Ntinas

Vourkas

Abusleme

et al. 2018

IEEE Trans. Neural Netw. Learning Syst.

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This paper presents a fully digital implementation of a memristor hardware (HW) simulator, as the core of an emulator, based on a behavioral model of voltage-controlled threshold-type bipolar memristors. Compared to other analog solutions, the proposed digital design is compact, easily reconfigurable, demonstrates very good matching with the mathematical model on which it is based, and complies with all the required features for memristor emulators. We validated its functionality using Altera Quartus II and ModelSim tools targeting low-cost yet powerful field-programmable gate array families. We tested its suitability for complex memristive circuits as well as its synapse functioning in artificial neural networks, implementing examples of associative memory and unsupervised learning of spatiotemporal correlations in parallel input streams using a simplified spike-timing-dependent plasticity. We provide the full circuit schematics of all our digital circuit designs and comment on the required HW resources and their scaling trends, thus presenting a design framework for applications based on our HW simulator.

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