neurosim
Researchers from Prof. Shimeng Yu's group at Georgia Tech
Georgia Institute of TechnologyAtlanta, GA
Pinned Repositories
3D_NeuroSim_V1.0
Benchmark framework of 3D integrated CIM accelerators for popular DNN inference, support both monolithic and heterogeneous 3D integration
DNN_NeuroSim_V1.0
Benchmark framework of compute-in-memory based accelerators for deep neural network
DNN_NeuroSim_V1.1
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_V1.4
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_V2.1
Benchmark framework of compute-in-memory based accelerators for deep neural network (on-chip training chip focused)
MLP_NeuroSim_V1.0
Benchmark framework of synaptic device technologies for a simple neural network
MLP_NeuroSim_V2.0
Benchmark framework of synaptic device technologies for a simple neural network
MLP_NeuroSim_V3.0
Benchmark framework of synaptic device technologies for a simple neural network
neurosim's Repositories
neurosim/MLP_NeuroSim_V3.0
Benchmark framework of synaptic device technologies for a simple neural network
neurosim/DNN_NeuroSim_V2.1
Benchmark framework of compute-in-memory based accelerators for deep neural network (on-chip training chip focused)
neurosim/DNN_NeuroSim_V1.3
Benchmark framework of compute-in-memory based accelerators for deep neural network (inference engine focused)
neurosim/DNN_NeuroSim_V1.4
Benchmark framework of compute-in-memory based accelerators for deep neural network (inference engine focused)
neurosim/DNN_NeuroSim_V2.0
Benchmark framework of compute-in-memory based accelerators for deep neural network (on-chip training chip focused)
neurosim/DNN_NeuroSim_V1.0
Benchmark framework of compute-in-memory based accelerators for deep neural network
neurosim/MLP_NeuroSim_V1.0
Benchmark framework of synaptic device technologies for a simple neural network
neurosim/DNN_NeuroSim_V1.1
Benchmark framework of compute-in-memory based accelerators for deep neural network (inference engine focused)
neurosim/3D_NeuroSim_V1.0
Benchmark framework of 3D integrated CIM accelerators for popular DNN inference, support both monolithic and heterogeneous 3D integration
neurosim/MLP_NeuroSim_V2.0
Benchmark framework of synaptic device technologies for a simple neural network
neurosim/DNN_NeuroSim_V1.2
Benchmark framework of compute-in-memory based accelerators for deep neural network (inference engine focused)