Results 21 to 30 of about 241 (114)
Analog Weights in ReRAM DNN Accelerators [PDF]
2019 IEEE International Conference on Artificial Intelligence Circuits and Systems, 5 pages, 4 ...
Jason Kamran Eshraghian +5 more
openaire +2 more sources
PRAP-PIM: A weight pattern reusing aware pruning method for ReRAM-based PIM DNN accelerators
Resistive Random-Access Memory (ReRAM) based Processing-in-Memory (PIM) frameworks are proposed to accelerate the working process of DNN models by eliminating the data movement between the computing and memory units.
Zhaoyan Shen +5 more
doaj +1 more source
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
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
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
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
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
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Herein, a feasible method is provided for circuit implementation of the convolutional neural network (CNN) in neuromorphic hardware using the multiple layers‐stacked resistance switching random access memory (ReRAM).
Yumin Kim +8 more
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Sequence learning in a spiking neuronal network with memristive synapses
Brain-inspired computing proposes a set of algorithmic principles that hold promise for advancing artificial intelligence. They endow systems with self learning capabilities, efficient energy usage, and high storage capacity.
Younes Bouhadjar +5 more
doaj +1 more source
Effect of Programming Schemes on Short-Term Instability in 1T1R Configuration
Short-term instability is one of the key challenges for redox-based resistive random-access memory (ReRAM) reaching practical applications in the field of neuromorphic computing.
Xiaohua Liu +7 more
doaj +1 more source

