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

SKY130 ReRAM and examples (SkyWater Provided)

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

Series of ReRAM characterization modules compatible with Keithley Semiconductor Characterization Systemsinstruments

A fast generative model for stochastic memory cells

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

Fast model for large arrays of solid-state stochastic synapses

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

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.

Bare minimum Kernel for the Raspberry Pi to examine memory chips via SPI