NeuroSim

MLP_NeuroSim_V3.0. Benchmark framework of synaptic device technologies for a simple neural network

DNN_NeuroSim_V2.1. Benchmark framework of compute-in-memory based accelerators for deep neural network (on-chip training chip focused)

NeuroSim. Central repository for all NeuroSim versions. Each version is uploaded in a separate branch. Updates to the versions will be reflected here and not in the old repositories.

DNN_NeuroSim_V1.4. Benchmark framework of compute-in-memory based accelerators for deep neural network (inference engine focused)

DNN_NeuroSim_V1.3. Benchmark framework of compute-in-memory based accelerators for deep neural network (inference engine focused)

DNN_NeuroSim_V2.0. Benchmark framework of compute-in-memory based accelerators for deep neural network (on-chip training chip focused)

DNN_NeuroSim_V1.0. Benchmark framework of compute-in-memory based accelerators for deep neural network

MLP_NeuroSim_V1.0. Benchmark framework of synaptic device technologies for a simple neural network

3D_NeuroSim_V1.0. Benchmark framework of 3D integrated CIM accelerators for popular DNN inference, support both monolithic and heterogeneous 3D integration

DNN_NeuroSim_V1.1. Benchmark framework of compute-in-memory based accelerators for deep neural network (inference engine focused)

MLP_NeuroSim_V2.0. Benchmark framework of synaptic device technologies for a simple neural network

NS-Cache. NeuroSim (NS)-Cache is a framework developed for early exploration of cache memories in advanced technology nodes

ChatNeuroSim. ChatNeuroSim: An intelligent agent framework for automated Compute-in-Memory (CIM) accelerator deployment and optimization.

DNN_NeuroSim_V1.2. Benchmark framework of compute-in-memory based accelerators for deep neural network (inference engine focused)