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Impact of Switching Variability of 65nm CMOS Integrated Hafnium Dioxide-based ReRAM Devices on Distinct Level Operations

Maximilian Liehr, Jubin Hazra, Karsten Beckmann, Sarah Rafiq, Nathaniel C. Cady

202017 citationsDOI

Abstract

Limitations related to the von Neumann bottleneck have resulted in novel circuits and architectures, including designs that utilize Resistive Random Access Memory (ReRAM) as nonvolatile memory (NVM) devices. ReRAM implemented with hafnium oxide (HfO <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> ) is a strong candidate for such applications. The non-volatility of these devices and their amenability to compute in memory functionality makes them ideal for neuromorphic applications, deep learning, and mathematical accelerator circuits (e.g. Vector Matrix Multiplication - VMM). However, these devices suffer from stochastic switching variability that currently limits their usage and performance. To realize the full potential of these devices, reliability analysis is required. In this work, a reliability study was performed using previously developed a 65 nm CMOS/Memristor process on a 300 mm wafer platform. To address the influence of switching compliance current on the variability of Low Resistance State (LRS) and High Resistance State (HRS), a total of 23 different compliance current values were implemented. The effects of temperature on device performance was also measured.

Topics & Concepts

Resistive random-access memoryCMOSNeuromorphic engineeringMemristorComputer scienceReliability (semiconductor)In-Memory ProcessingNon-volatile memoryElectronic circuitElectronic engineeringElectrical engineeringVoltageComputer hardwareEngineeringArtificial intelligenceArtificial neural networkInformation retrievalQuantum mechanicsQuery by ExamplePhysicsSearch engineWeb search queryPower (physics)Advanced Memory and Neural ComputingFerroelectric and Negative Capacitance DevicesSemiconductor materials and devices
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