Results 31 to 40 of about 9,355 (180)
A Reconfigurable 4T2R ReRAM Computing In-Memory Macro for Efficient Edge Applications
Resistive random access memory (ReRAM)-based computing in-memory (CIM) is a promising solution to overcome the von-Neumann bottleneck in conventional computing architectures. We propose a reconfigurable ReRAM architecture using a novel 4T2R bit-cell that
Yuzong Chen +3 more
doaj +1 more source
A Memristor as Multi-Bit Memory: Feasibility Analysis [PDF]
The use of emerging memristor materials for advanced electrical devices such as multi-valued logic is expected to outperform today's binary logic digital technologies.
Bass, O., Fish, A., Naveh, D.
core +2 more sources
We have studied the stability of the resistive switching process in the Al/(In2O3)0.9(SnO2)0.1/TiO2 assembly grown by atomic layer deposition. Besides electrical characterization the effect of electric field on the atomic electronic structure of the TiO2
Elena Filatova +6 more
doaj +1 more source
A Complementary Resistive Switch-based Crossbar Array Adder
Redox-based resistive switching devices (ReRAM) are an emerging class of non-volatile storage elements suited for nanoscale memory applications. In terms of logic operations, ReRAM devices were suggested to be used as programmable interconnects, large ...
Linn, E. +3 more
core +1 more source
ARIA: Additive ReRAM-Based Integrity and Aging Monitoring for ICs
This paper reports an approach for monitoring aging and integrity of CMOS circuits through additively manufactured Resistive Random-Access Memory (ReRAM) based test structures.
Thomas Schultz +3 more
doaj +1 more source
FPSA: A Full System Stack Solution for Reconfigurable ReRAM-based NN Accelerator Architecture
Neural Network (NN) accelerators with emerging ReRAM (resistive random access memory) technologies have been investigated as one of the promising solutions to address the \textit{memory wall} challenge, due to the unique capability of \textit{processing ...
Hu, Xing +7 more
core +1 more source
A CMOS Spiking Neuron for Brain-Inspired Neural Networks with Resistive Synapses and In-Situ Learning [PDF]
Nanoscale resistive memories are expected to fuel dense integration of electronic synapses for large-scale neuromorphic system. To realize such a brain-inspired computing chip, a compact CMOS spiking neuron that performs in-situ learning and computing ...
Balagopal, Sakkarapani +3 more
core +3 more sources
An efficient read approach for memristive crossbar array
Resistive random access memories (ReRAM) have drawn attention of researchers due to their unique properties with applications in in-memory computing, which allows storage and computation in the same unit.
Pravanjan Samanta +3 more
doaj +1 more source
Optimal Design of FPGA Switch Matrix with Ion Mobility Based Nonvolatile ReRAM
There are high demands for research of new device with greater accessing speed and stability to replace the current SRAM storage cell. The resistive random access memory (ReRAM) is a metal oxide which is based on nonvolatile memory device possessing the ...
Peng Hai-yun, Zhou Wen-gang
doaj +1 more source
Thermal Heating in ReRAM Crossbar Arrays: Challenges and Solutions
The high speed, scalability, and parallelism offered by ReRAM crossbar arrays foster the development of ReRAM-based next-generation AI accelerators. At the same time, the sensitivity of ReRAM to temperature variations decreases $\text{R}_{ON}/\text{R}_ ...
Kamilya Smagulova +2 more
doaj +1 more source

