YulhwaKim / RRAMScalable_BNN
Neural Network-Hardware Co-design for Scalable RRAM-based BNN Accelerators
☆11Updated 5 years ago
Alternatives and similar repositories for RRAMScalable_BNN:
Users that are interested in RRAMScalable_BNN are comparing it to the libraries listed below
- Benchmark framework of compute-in-memory based accelerators for deep neural network (on-chip training chip focused)☆46Updated 3 years ago
- Benchmark framework of compute-in-memory based accelerators for deep neural network☆42Updated 4 years ago
- Benchmark framework of compute-in-memory based accelerators for deep neural network (inference engine focused)☆21Updated 3 years ago
- FracBNN: Accurate and FPGA-Efficient Binary Neural Networks with Fractional Activations☆89Updated 3 years ago
- ☆69Updated 4 years ago
- HLS implemented systolic array structure☆41Updated 7 years ago
- A Unified Framework for Training, Mapping and Simulation of ReRAM-Based Convolutional Neural Network Acceleration☆33Updated 2 years ago
- Open-source of MSD framework☆16Updated last year
- RTL implementation of Flex-DPE.☆97Updated 4 years ago
- MNSIM_Python_v1.0. The former circuits-level version link: https://github.com/Zhu-Zhenhua/MNSIM_V1.1☆34Updated last year
- Models and training scripts for "LSTMs for Keyword Spotting with ReRAM-based Compute-In-Memory Architectures" (ISCAS 2021).☆14Updated 3 years ago
- ☆25Updated last month
- Neural Network Evaluation Tool on Crossbar-based Accelerator with Resistive Memory☆36Updated 5 years ago
- ☆25Updated 9 months ago
- A bit-level sparsity-awared multiply-accumulate process element.☆12Updated 6 months ago
- ☆18Updated last year
- An HLS based winograd systolic CNN accelerator☆49Updated 3 years ago
- Sparse CNN Accelerator targeting Intel FPGA☆11Updated 3 years ago
- ☆39Updated 7 months ago
- ☆10Updated 2 years ago
- Approximate layers - TensorFlow extension☆26Updated 9 months ago
- A general framework for optimizing DNN dataflow on systolic array☆33Updated 4 years ago
- Multi-core HW accelerator mapping optimization framework for layer-fused ML workloads.☆47Updated this week
- Benchmark framework of compute-in-memory based accelerators for deep neural network (inference engine focused)☆66Updated last year
- ☆11Updated 9 months ago
- Benchmark framework of 3D integrated CIM accelerators for popular DNN inference, support both monolithic and heterogeneous 3D integration☆21Updated 3 years ago
- ☆32Updated 4 years ago
- Architecture for RRAM multilevel programming☆16Updated 6 years ago
- ☆9Updated 5 years ago
- ☆33Updated 5 years ago