[HTML][HTML] In-memory computing with emerging memory devices: Status and outlook

P Mannocci, M Farronato, N Lepri, L Cattaneo… - APL Machine …, 2023 - pubs.aip.org
In-memory computing (IMC) has emerged as a new computing paradigm able to alleviate or
suppress the memory bottleneck, which is the major concern for energy efficiency and …

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 …

VTEAM: A general model for voltage-controlled memristors

S Kvatinsky, M Ramadan, EG Friedman… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
Memristors are novel electrical devices used for a variety of applications, including memory,
logic circuits, and neuromorphic systems. Memristive technologies are attractive due to their …

Memristor-based material implication (IMPLY) logic: Design principles and methodologies

S Kvatinsky, G Satat, N Wald… - … Transactions on Very …, 2013 - ieeexplore.ieee.org
Memristors are novel devices, useful as memory at all hierarchies. These devices can also
behave as logic circuits. In this paper, the IMPLY logic gate, a memristor-based logic circuit …

Logic design within memristive memories using memristor-aided loGIC (MAGIC)

N Talati, S Gupta, P Mane… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
Realizing logic operations within passive crossbar memory arrays is a promising approach
to enable novel computer architectures, different from conventional von Neumann …

Recent progress in artificial synapses based on two-dimensional van der Waals materials for brain-inspired computing

S Seo, JJ Lee, HJ Lee, HW Lee, S Oh… - ACS Applied …, 2020 - ACS Publications
On the basis of recent research, brain-inspired parallel computing is considered as one of
the most promising technologies for efficiently handling large amounts of informational data …

A survey of memristive threshold logic circuits

AK Maan, DA Jayadevi… - IEEE transactions on …, 2016 - ieeexplore.ieee.org
In this paper, we review different memristive threshold logic (MTL) circuits that are inspired
from the synaptic action of the flow of neurotransmitters in the biological brain. The brainlike …

Coexisting multiple attractors and riddled basins of a memristive system

G Wang, F Yuan, G Chen, Y Zhang - Chaos: An Interdisciplinary …, 2018 - pubs.aip.org
In this paper, a new memristor-based chaotic system is designed, analyzed, and
implemented. Multistability, multiple attractors, and complex riddled basins are observed …

ZnO based resistive random access memory device: a prospective multifunctional next-generation memory

UB Isyaku, MHBM Khir, IM Nawi, MA Zakariya… - IEEE …, 2021 - ieeexplore.ieee.org
Numerous works that have demonstrated the study and enhancement of switching
properties of ZnO-based RRAM devices are discussed. Several native point defects that …

Indium–Gallium–Zinc Oxide-Based Synaptic Charge Trap Flash for Spiking Neural Network-Restricted Boltzmann Machine

E Park, S Jang, G Noh, Y Jo, DK Lee, IS Kim… - Nano …, 2023 - ACS Publications
Recently, neuromorphic computing has been proposed to overcome the drawbacks of the
current von Neumann computing architecture. Especially, spiking neural network (SNN) has …