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An efficient memristive alternating crossbar array and the design of full adder
Memristor is one of the most promising emerging technologies to solve the von Neumann bottleneck problem due to its non-volatile and binary...
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A memristor crossbar based on a novel ternary memristor model
In this paper, a high-density programmable logic array based on a ternary memristor crossbar array is designed. Based on the three-valued state...
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Memristive crossbar-based circuit design of back-propagation neural network with synchronous memristance adjustment
The performance improvement of CMOS computer fails to meet the enormous data processing requirement of artificial intelligence progressively. The...
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Specifics of Crossbar Resistor Arrays
Parallel neuromorphic computing is based on matrix-vector multiplications which can be realized using resistor arrays. The arrays should consist of...
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Highly Efficient Back-End-of-Line Compatible Flexible Si-Based Optical Memristive Crossbar Array for Edge Neuromorphic Physiological Signal Processing and Bionic Machine Vision
The emergence of the Internet-of-Things is anticipated to create a vast market for what are known as smart edge devices, opening numerous...
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On Cost Analysis of New Crossbar Interconnection Network
This paper is emphasizing on the cost of crossbar interconnection networks. Crossbar interconnection network plays a vital role in parallel computing...
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Memristor crossbar architectures for implementing deep neural networks
The paper presents memristor crossbar architectures for implementing layers in deep neural networks, including the fully connected layer, the...
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An Ising solver chip based on coupled ring oscillators with a 48-node all-to-all connected array architecture
Quantum-inspired computing systems can be used to efficiently solve combinatorial optimization problems. In develo** such systems, a key challenge...
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Field-Programmable Gate Array Architecture
Since their inception more than thirty years ago, field-programmable gate arrays (FPGAs) have grown more complex, more capable, and more diverse in...
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Hybrid CMOS/memristor crossbar structure for implementing hopfield neural network
Competent hardware implementation of artificial neural networks is still an important contest. In recent literature, memristor has been introduced as...
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Coarse-Grained Reconfigurable Array (CGRA)
Coarse-grained reconfigurable array (CGRA) is a promising class of spatial accelerator that offers high performance, energy efficiency, as well as...
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Modeling and design of a Mott selector for a ReRAM-based non-volatile memory cell in a crossbar architecture
In this work, we developed a model for a nonvolatile memory cell based on the electrical model for a TiO X /HfO x ReRAM cell and the hybrid...
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Ta/HfO2-based Memristor and Crossbar Arrays for In-Memory Computing
Computing hardware systems based on memristorsMemristor can eliminate the data shuttling between the memory and processing units, offer massive...
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Wafer-scale integration of two-dimensional materials in high-density memristive crossbar arrays for artificial neural networks
Two-dimensional materials could play an important role in beyond-CMOS (complementary metal–oxide–semiconductor) electronics, and the development of...
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Robustness for Embedded Machine Learning Using In-Memory Computing
Deep Neural Networks (DNNs) have achieved superhuman-like performance in several real-world applications such as classification, segmentation among...
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CMOS-compatible electrochemical synaptic transistor arrays for deep learning accelerators
In-memory computing architectures based on memristive crossbar arrays could offer higher computing efficiency than traditional hardware in deep...
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Parallel in-memory wireless computing
Parallel wireless digital communication with ultralow power consumption is critical for emerging edge technologies such as 5G and Internet of Things....
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Two-Terminal Lithium-Mediated Artificial Synapses with Enhanced Weight Modulation for Feasible Hardware Neural Networks
Recently, artificial synapses involving an electrochemical reaction of Li-ion have been attributed to have remarkable synaptic properties....
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A New Function Map** Approach in Defective Nanocrossbar Array Using Unique Number Sequence
The designs at nanoscale exhibit much higher defect rates than in conventional lithography-based VLSI designs. It demands new defect-tolerant schemes...
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Memristor-based hardware accelerators for artificial intelligence
Satisfying the rapid evolution of artificial intelligence (AI) algorithms requires exponential growth in computing resources, which, in turn,...
