A Simulation Framework for Memristive Deep Learning Systems
deep-learning simulation-framework memristor rram-modeling rram memristive-devices pytorch-machine-learning
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May 13, 2024 - Python
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rram
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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
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Oct 10, 2022 - HTML
A well-posed RRAM SPICE model implemented in Verilog-A, based on Stanford/ASU filamentary model, using code developed at UC Berkeley
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Nov 30, 2020
Series of ReRAM characterization modules compatible with Keithley Semiconductor Characterization Systemsinstruments
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Aug 5, 2019 - C
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
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Nov 19, 2025 - Python
Code and repository for RRAM RADAR programming method: https://doi.org/10.1109/TED.2021.3097975
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Jul 27, 2021 - Mathematica
[Nature Communications 2025] "Random resistive memory-based extreme point learning machine for unified visual processing."
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Jan 23, 2025 - Python
Long Short-Term Memory Implementation Exploiting Passive RRAM Crossbar Array
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Aug 25, 2023 - MATLAB
Crossbar Parasitics Simulator β A tool for benchmarking parasitic resistance models in RRAM crossbars and evaluating neural networks under realistic hardware constraints.
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Sep 4, 2025 - Python
Scripts to model functional experimental or other phenomena, such as neuronal/device spiking, or tip-sample interactions.
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Nov 4, 2021 - Python
NI RRAM programming in Python
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Jun 8, 2024 - Python
Modeling Memristors with Machine Learning #memistors
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Jan 17, 2026 - Jupyter Notebook
π Build a robust compiler from scratch, exploring language design, parsing techniques, and optimization strategies for efficient code transformation.
c shell parser flex stylesheets compiler skill garbage-collection access antd symbol-table syntax-analysis lexical-analyzer cadence webpack-setup gocc icg rram rram-compiler
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Feb 2, 2026
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.
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Apr 17, 2024 - Jupyter Notebook
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