qingyangqing / quantized-rram-netLinks
Quantized training method for RRAM-based systems.
☆12Updated 7 years ago
Alternatives and similar repositories for quantized-rram-net
Users that are interested in quantized-rram-net are comparing it to the libraries listed below
Sorting:
- A simulator for RRAM-based neural processor engine.☆34Updated 7 years ago
- Architecture for RRAM multilevel programming☆17Updated 7 years ago
- [TVLSI 2025] ACiM Inference Simulation Framework in "ASiM: Modeling and Analyzing Inference Accuracy of SRAM-Based Analog CiM Circuits"☆25Updated 4 months ago
- The CyNAPSE Neuromorphic Accelerator: A Digital Spiking neural network accelerator written in fully synthesizable verilog HDL☆36Updated 6 years ago
- Benchmark framework of synaptic device technologies for a simple neural network☆28Updated 5 years ago
- Benchmark framework of compute-in-memory based accelerators for deep neural network☆45Updated 5 years ago
- Benchmark framework of compute-in-memory based accelerators for deep neural network (on-chip training chip focused)☆53Updated 4 years ago
- A Unified Framework for Training, Mapping and Simulation of ReRAM-Based Convolutional Neural Network Acceleration☆36Updated 3 years ago
- Physical memristor/RRAM/resistive switching device SPICE compact model, that is able to accurately fit both unipolar/bipolar devices sett…☆46Updated 6 years ago
- ☆12Updated 9 months ago
- A collection of research papers on SRAM-based compute-in-memory architectures.☆30Updated 2 years ago
- a Computing In Memory emULATOR framework☆14Updated last year
- Systolic array based hardware for Image processing on the SPARTAN-6 FPGA☆13Updated 9 years ago
- Benchmark framework of 3D integrated CIM accelerators for popular DNN inference, support both monolithic and heterogeneous 3D integration☆25Updated 4 years ago
- ReRAM implementation on CNN☆18Updated 7 years ago
- ☆17Updated 4 years ago
- This repository includes the Resistive Random Access Memory (RRAM) Compiler which is designed in the context of the research project of D…☆76Updated 3 years ago
- Hardware implementation of Spiking Neural Network on a PYNQ-Z1 board☆39Updated 6 years ago
- Benchmark framework of compute-in-memory based accelerators for deep neural network (inference engine focused)☆22Updated 4 years ago
- [FPL 2021] SyncNN: Evaluating and Accelerating Spiking Neural Networks on FPGAs.☆64Updated 4 years ago
- Training and Implementation of a CNN for image classification with binary weights and activations on FPGA with HLS tools☆53Updated 7 years ago
- ReckOn: A Spiking RNN Processor Enabling On-Chip Learning over Second-Long Timescales - HDL source code and documentation.☆92Updated 3 years ago
- tinyODIN digital spiking neural network (SNN) processor - HDL source code and documentation.☆75Updated 2 years ago
- Neural Network-Hardware Co-design for Scalable RRAM-based BNN Accelerators☆11Updated 6 years ago
- A reading list for SRAM-based Compute-In-Memory (CIM) research.☆109Updated 2 months ago
- ☆20Updated 4 years ago
- view at https://xupsh.github.io/ccc2021/☆23Updated 3 years ago
- HedgeHog Fused Spiking Neural Network Emulator/Compute Engine is a hardware implementation of a SNN designed for implementation in Xilinx…☆60Updated 10 months ago
- Compact LSTM inference kernel (CLINK) designed in C/HLS for FPGA implementation.☆17Updated 6 years ago
- A Behavior-Level Modeling Tool for Memristor-based Neuromorphic Computing Systems☆188Updated last year