CRAFT-THU / BSim
High Performance Simulation of Spiking Neural Network on GPGPUs
☆15Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for BSim
- Benchmark framework of compute-in-memory based accelerators for deep neural network☆41Updated 4 years ago
- Pytorch Implementation of Spiking Neural Networks Calibration, ICML 2021☆82Updated 6 months ago
- This repository contains the models and training scripts used in the papers: "Quantizing Spiking Neural Networks with Integers" (ICONS 20…☆13Updated 4 years ago
- Benchmark framework of compute-in-memory based accelerators for deep neural network (on-chip training chip focused)☆45Updated 3 years ago
- MNSIM_Python_v1.0. The former circuits-level version link: https://github.com/Zhu-Zhenhua/MNSIM_V1.1☆34Updated 10 months ago
- MINT, Multiplier-less INTeger Quantization for Energy Efficient Spiking Neural Networks, ASP-DAC 2024, Nominated for Best Paper Award☆10Updated 7 months ago
- [ASPLOS 2019] PUMA-simulator provides a detailed simulation model of a dataflow architecture built with NVM (non-volatile memory), and ru…☆55Updated last year
- ☆36Updated 3 years ago
- ☆26Updated 3 years ago
- ☆24Updated 6 months ago
- A simulator for RRAM-based neural processor engine.☆30Updated 6 years ago
- Neural Network Evaluation Tool on Crossbar-based Accelerator with Resistive Memory☆34Updated 5 years ago
- Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation☆97Updated 3 years ago
- Framework for radix encoded SNN on FPGA☆13Updated 2 years ago
- Structured clustering for memristive crossbar based neuromorphic architectures☆14Updated 5 years ago
- STBP is a way to train SNN with datasets by Backward propagation.Using this Repositories allows you to train SNNS with STBP and quantize …☆26Updated 2 years ago
- ReckOn: A Spiking RNN Processor Enabling On-Chip Learning over Second-Long Timescales - HDL source code and documentation.☆76Updated 2 years ago
- SATA_Sim is an energy estimation framework for Backpropagation-Through-Time (BPTT) based Spiking Neural Networks (SNNs) training and infe…☆25Updated last month
- ☆31Updated 10 months ago
- SSTDP is a efficient spiking neural network training framework, which is contributed by Fangxin Liu and Wenbo Zhao.☆32Updated 3 years ago
- PUMA Compiler☆27Updated 4 years ago
- NeuroSync: A Scalable and Accurate Brain Simulation System using Safe and Efficient Speculation (HPCA 2022)☆8Updated 2 years ago
- PyTorch Implementation of Online Training of Spiking Recurrent Neural Networks with Phase-Change Memory Synapses☆21Updated 3 years ago
- [NeurIPS 2022] Online Training Through Time for Spiking Neural Networks☆53Updated 11 months ago
- agile hardware-software co-design☆45Updated 2 years ago
- I will share some useful or interesting papers about neuromorphic processor☆17Updated 2 months ago
- ☆18Updated 2 years ago
- A Unified Framework for Training, Mapping and Simulation of ReRAM-Based Convolutional Neural Network Acceleration☆31Updated 2 years ago
- Benchmark framework of compute-in-memory based accelerators for deep neural network (inference engine focused)☆21Updated 3 years ago