Future Large-Scale Memristive Device Crossbar Arrays: Limits Imposed by Sneak-Path Currents on Read Operations
Yansong Gao, Omid Kavehei, Damith C. Ranasinghe, Said F. Al-Sarawi,, Derek Abbott

TL;DR
This paper investigates the use of intrinsically rectifying memristive devices to mitigate sneak-path currents in large-scale crossbar arrays, providing insights into optimizing read performance and power efficiency.
Contribution
It introduces a Verilog-A model of rectifying memristive devices and systematically evaluates their impact on crossbar array read performance, offering design guidelines.
Findings
Rectification significantly reduces sneak-path currents.
Trade-offs identified between read margin and power consumption.
Model comparison shows advantages of intrinsic rectification.
Abstract
Passive crossbar arrays based upon memristive devices, at crosspoints, hold great promise for the future high-density and non-volatile memories. The most significant challenge facing memristive device based crossbars today is the problem of sneak-path currents. In this paper, we investigate a memristive device with intrinsic rectification behavior to suppress the sneak-path currents in crossbar arrays. The device model is implemented in Verilog-A language and is simulated to match device characteristics readily available in the literature. Then, we systematically evaluate the read operation performance of large-scale crossbar arrays utilizing our proposed model in terms of read margin and power consumption while considering different crossbar sizes, interconnect resistance values, HRS/LRS (High Resistance State/Low Resistance State) values, rectification ratios and different…
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Taxonomy
TopicsAdvanced Memory and Neural Computing · Neuroscience and Neural Engineering · Ferroelectric and Negative Capacitance Devices
