Implementation of "Low-Cost and Effective Fault-Tolerance Enhancement Techniques for Emerging Memories-Based Deep Neural Networks." 2021 58th ACM/IEEE Design Automation Conference (DAC).
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Updated
Feb 8, 2023 - Python
Implementation of "Low-Cost and Effective Fault-Tolerance Enhancement Techniques for Emerging Memories-Based Deep Neural Networks." 2021 58th ACM/IEEE Design Automation Conference (DAC).
V-I Diagram Plotter using SerialPort in C#
Planar memristor based on 2D material - MATLAB
A solver for Memristor Crossbar Arrays
HSPICE implementation of hybrid CMOS/Memristor BAM
Simple model of a memristor
LTSpice simulation software is used to study the behavior of a Memristor. Different logic gates like NOR, NAND and XOR were modelled and simulated followed by the simulation of a memristor based full-adder.
Scripts to model functional experimental or other phenomena, such as neuronal/device spiking, or tip-sample interactions.
In-sensor reservoir computing for language learning via two-dimensional memristors
Control algorithms and logic for Memristor's robots
Nengo implementation of neuromorphic learning using simulated SrTiO3 memristors.
Code used in the paper “Nonideality-Aware Training for Accurate and Robust Low-Power Memristive Neural Networks”
[Nature Machine Intelligence 2023] "Echo state graph neural networks with analogue random resistive memory arrays."
Structured clustering for memristive crossbar based neuromorphic architectures
A Python tool for computing and plotting currents and voltages in passive crossbar arrays.
Java Application for automated memristor experiments and data collection based on Digilent's Analog Discovery 2 USB Oscilloscope and Knowm's Memristor Discovery Board.
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