Memristive crossbar arrays for brain-inspired computing

Q Xia, JJ Yang - Nature materials, 2019 - nature.com
With their working mechanisms based on ion migration, the switching dynamics and
electrical behaviour of memristive devices resemble those of synapses and neurons, making …

Resistive crossbars as approximate hardware building blocks for machine learning: Opportunities and challenges

I Chakraborty, M Ali, A Ankit, S Jain, S Roy… - Proceedings of the …, 2020 - ieeexplore.ieee.org
Traditional computing systems based on the von Neumann architecture are fundamentally
bottlenecked by data transfers between processors and memory. The emergence of data …

An artificial neuron based on a threshold switching memristor

X Zhang, W Wang, Q Liu, X Zhao, J Wei… - IEEE Electron …, 2017 - ieeexplore.ieee.org
Artificial neurons and synapses are critical units for processing intricate information in
neuromorphic systems. Memristors are frequently engineered as artificial synapses due to …

Advanced technology and systems of cross point memory

A Fazio - 2020 IEEE International Electron Devices Meeting …, 2020 - ieeexplore.ieee.org
Cross point memories are ideally suited to fill computer memory hierarchy gaps of memory
capacity-cost and storage performance. System innovations exploiting the capability of 3D …

Nvmexplorer: A framework for cross-stack comparisons of embedded non-volatile memories

L Pentecost, A Hankin, M Donato, M Hempstead… - arXiv preprint arXiv …, 2021 - arxiv.org
Repeated off-chip memory accesses to DRAM drive up operating power for data-intensive
applications, and SRAM technology scaling and leakage power limits the efficiency of …

Performance Enhancement of Ag/HfO2 Metal Ion Threshold Switch Cross-Point Selectors

B Grisafe, M Jerry, JA Smith… - IEEE Electron Device …, 2019 - ieeexplore.ieee.org
A metal ion threshold switch (MITS) based on an Ag/TiN/HfO 2/Pt stack is experimentally
demonstrated with improved endurance. The incorporation of a low-temperature atomic …

Impact of selector devices in analog RRAM-based crossbar arrays for inference and training of neuromorphic system

J Woo, S Yu - IEEE Transactions on Very Large Scale …, 2019 - ieeexplore.ieee.org
The impact of selector devices on the inference and training accuracy of a resistive random
access memory (RRAM)-based neuromorphic computing system is rarely studied. In this …

Resistive neural hardware accelerators

K Smagulova, ME Fouda, F Kurdahi… - Proceedings of the …, 2023 - ieeexplore.ieee.org
Deep neural networks (DNNs), as a subset of machine learning (ML) techniques, entail that
real-world data can be learned, and decisions can be made in real time. However, their wide …

Cycling induced metastable degradation in GeSe Ovonic threshold switching selector

Z Chai, W Zhang, S Clima, F Hatem… - IEEE Electron …, 2021 - ieeexplore.ieee.org
Ovonic threshold switching (OTS) selector is a promising candidate to suppress the sneak
current paths in emerging memory arrays, but there is still a gap between its performance …

The investigations of characteristics of GeSe thin films and selector devices for phase change memory

G Liu, L Wu, X Chen, T Li, Y Wang, T Guo, Z Ma… - Journal of Alloys and …, 2019 - Elsevier
Ovonic threshold switching (OTS) selector is a key technology for high-density crossbar
memory array. The basic characteristics of GeSe OTS material including structural …