Table 4 Summary of reported simulation frameworks for the study of memristive hardware neural networks

From: Hardware implementation of memristor-based artificial neural networks

Simulation Framework

Year

Platform

Training

Simulation type

Open Source

Type of ANN

Compatible dev.

Energy

Accuracy

Power

Latency

Variability

RL

CL

CMOS

GPU

Tensorflow224

2015

Python

Yes

Neural network

Yes

MLP, CNN

No dev.

No

Yes

No

No

Yes

No

No

No

Yes

Pytorch223

2017

Python

Yes

Neural network

Yes

MLP, CNN

No dev.

No

Yes

No

No

Yes

No

No

No

Yes

NEURON285

2006

Python

Yes

Neural network

Yes

SNN

No dev.

No

Yes

No

No

Yes

No

No

No

Yes

Brian2225

2019

Python

Yes

Neural network

Yes

SNN

No dev.

No

Yes

No

No

Yes

No

No

No

Yes

NEST226

2007

Python

Yes

Neural network

Yes

SNN

No dev.

No

Yes

No

No

Yes

No

No

No

Yes

BindsNET227

2018

Python

Yes

Neural network

Yes

SNN

No dev.

No

Yes

No

No

Yes

No

No

No

Yes

Memtorch286

2020

Python, C++, CUDA

No

Neurla network

Yes

CNN

RRAM

No

Yes

No

No

Yes

No

No

No

Yes

NVMain238,239

2015

C++

No

Architecture

Yes

Memory

RRAM

Yes

No

Yes

Yes

No

No

No

No

No

PUMA154

2019

C++

No

Architecture

No

MLP, CNN

RRAM

Yes

Yes

Yes

Yes

No

No

No

Yes

Yes

RAPIDNN247

2018

C++

No

Architecture

No

MLP, CNN

RRAM

Yes

Yes

Yes

Yes

Yes

No

No

Yes

No

DL-RSIM228

2018

Python

No

Architecture

No

MLP, CNN

RRAM

No

Yes

No

No

Yes

No

No

No

Yes

PipeLayer246

2017

C++

Yes

Architecture

No

CNN

RRAM

Yes

 

Yes

Yes

No

No

No

No

No

Tiny but Accurate230

2019

MATLAB

No

Architecture

Yes

CNN, ResNET

RRAM

Yes

Yes

Yes

No

No

No

No

No

No

Yuan et al.231

2019

C++, MATLAB

Yes

Architecture

Yes

No data

RRAM

No

Yes

Yes

No

No

No

No

No

Yes

Sun et al.229

2019

Python

Yes

Architecture

No

MLP

PCM, STT-RAM, ReRAM, SRAM, FeFET

Yes

Yes

Yes

No

Yes

No

No

No

No

A. Chen248

2013

MATLAB

No

Circuit

Yes

MLP

RRAM

No

No

Yes

No

Yes

Yes

No

No

No

CIM-SIM242

2019

SystemC (C++)

No

Architecture

Yes

SLP

RRAM

No

No

No

No

No

No

No

No

No

MNSIM240,241

2018

Python

No

Architecture

Yes

CNN

RRAM

Yes

No

Yes

Yes

Yes

No

No

No

Yes

NVSIM245

2012

C++

No

Circuital

Yes

Memory

PCM, STT-RAM, ReRAM, Flash

Yes

No

Yes

Yes

No

No

No

No

No

CrossSIM287

2017

Python

No data

Circuital

Yes

No data

PCM, ReRAM, Flash

No

Yes

No

No

Yes

Yes

No

No

Yes

NeuroSIM91

2022

Python, C++

Yes

Circuital

Yes

MLP, CNN

PCM, STT-RAM, ReRAM, SRAM, FeFET

Yes

Yes

Yes

No

Yes

No

No

No

Yes

NVM-SPICE252

2012

Not specified

No

Circuital

No

SLP

RRAM

Yes

No

Yes

Yes

Yes

No

No

Yes

No

IBM Analog Hardware Acceleration Kit232

2021

Python, C++, CUDA

Yes

Neural network

Yes

MLP, CNN, LSTM

PCM

No

Yes

No

No

Yes

No

No

No

Yes

Fritscher et al.256

2019

Mixed (VHDL, Verilog, SPICE)

No

Circuital

No

MLP

PCM, STT-RAM, ReRAM, SRAM, FeFET

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Aguirre et al.253

2020

Mixed (Python, MATLAB, SPICE)

No

Circuital

No

MLP

PCM, STT-RAM, ReRAM, SRAM, FeFET

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes