reram

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akdimitri /RRAM_COMPILER

This repository includes the Resistive Random Access Memory (RRAM) Compiler which is designed in the context of the research project of Dimitris Antoniadis (PG Taught Student) at Imperial College London

ram compiler memory skill random verification access calibre memristor spectre cadence-virtuoso cadence virtuoso reram rram resistive memristive-devices rram-compiler rram-array

UpdatedOct 10, 2022
HTML

google /skywater-pdk-libs-sky130_fd_pr_reram

Star37

SKY130 ReRAM and examples (SkyWater Provided)

asic eda silicon ngspice xyce pdk openroad reram skywater 130nm

UpdatedApr 20, 2022

CRAFT-THU /XB-Sim

Star34

A Unified Framework for Training, Mapping and Simulation of ReRAM-Based Convolutional Neural Network Acceleration

simulator cnn reram

UpdatedMay 19, 2022
C++

arvchristos /keithley-memstress

Star6

Series of ReRAM characterization modules compatible with Keithley Semiconductor Characterization Systemsinstruments

nvm characterization keithley keithley-instruments kult pulse-tests reram rram

UpdatedAug 5, 2019
C

thennen /Synaptogen

Star5

A fast generative model for stochastic memory cells

machine-learning simulation gpu julia modeling circuit-simulation neuromorphic-hardware verilog-a reram emerging-technology

UpdatedOct 9, 2024
Julia

CRAFT-THU /XB-Sim-Star

Star4

XB-SIM∗: A simulation framework for modeling and exploration of ReRAM-based CNN acceleration design

simulator cnn reram

UpdatedMay 19, 2022
C++

vntinas /JART-TUD-VCM-memristor-model

Star3

Memristor model: Various implementations of the simplified memristor model "JART-TUD VCM"

memristor hardware-acceleration memristors rram-modeling reram rram memristive-devices memristor-models resistive-switching

UpdatedOct 10, 2024
Python

thennen /StochasticSynapses.jl

Star2

Fast model for large arrays of solid-state stochastic synapses

machine-learning gpu julia synapse neuromorphic-computing reram emerging-technology stochastic-model

UpdatedAug 16, 2024
Julia

AbdiVicenciodelmoral /ML_Driven_RRAM-_Evaluation

Star0

RRAM resistive switching behavior evaluation and prediction, based on fabrication conditions. Applied Machine learning\Deep learning models to predict SET voltage distribution in Honey-based RRAM devices. Simulating the basic operations of RRAM crossbars in image classification tasks, investigating the robustness of in situ vs. ex situ training.

machine-learning deep-learning reram rram rram-array rram-crossbar