IBM / aihwkit-lightning
Scalable HW-Aware Training for Analog In-Memory Computing
☆21Updated last week
Alternatives and similar repositories for aihwkit-lightning
Users that are interested in aihwkit-lightning are comparing it to the libraries listed below
Sorting:
- CrossSim: accuracy simulation of analog in-memory computing☆159Updated last month
- Benchmark framework of compute-in-memory based accelerators for deep neural network (on-chip training chip focused)☆150Updated last year
- Central repository for all NeuroSim versions. Each version is uploaded in a separate branch. Updates to the versions will be reflected he…☆43Updated last week
- A Simulation Framework for Memristive Deep Learning Systems☆153Updated last year
- ReckOn: A Spiking RNN Processor Enabling On-Chip Learning over Second-Long Timescales - HDL source code and documentation.☆84Updated 3 years ago
- A Behavior-Level Modeling Tool for Memristor-based Neuromorphic Computing Systems☆163Updated 5 months ago
- Computing in memory optimizes data handling by performing operations directly in memory, ideal for high-speed data processing needs. This…☆19Updated 5 months ago
- Benchmark framework of compute-in-memory based accelerators for deep neural network (on-chip training chip focused)☆48Updated 3 years ago
- ☆33Updated last year
- Benchmark framework of synaptic device technologies for a simple neural network☆203Updated 3 years ago
- Benchmark framework of compute-in-memory based accelerators for deep neural network☆42Updated 4 years ago
- The official implementation of HPCA 2025 paper, Prosperity: Accelerating Spiking Neural Networks via Product Sparsity☆27Updated 3 months ago
- ☆56Updated last week
- SATA_Sim is an energy estimation framework for Backpropagation-Through-Time (BPTT) based Spiking Neural Networks (SNNs) training and infe…☆27Updated 7 months ago
- I will share some useful or interesting papers about neuromorphic processor☆25Updated 3 months ago
- Benchmark framework of compute-in-memory based accelerators for deep neural network (inference engine focused)☆65Updated 2 months ago
- Accelergy is an energy estimation infrastructure for accelerator energy estimations☆136Updated 2 months ago
- Repository collecting papers about neuromorphic hardware, such as ASIC and FPGA implementations of SNNs and stuff.☆163Updated last year
- ☆50Updated last year
- Benchmark framework of compute-in-memory based accelerators for deep neural network (inference engine focused)☆68Updated last year
- A collection of research papers on SRAM-based compute-in-memory architectures.☆28Updated last year
- MNSIM_Python_v1.0. The former circuits-level version link: https://github.com/Zhu-Zhenhua/MNSIM_V1.1☆34Updated last year
- Benchmark framework of synaptic device technologies for a simple neural network☆27Updated 4 years ago
- Modeling of memristors in LTSpise environment☆29Updated 7 months ago
- ☆65Updated 3 months ago
- LoAS: Fully Temporal-Parallel Dataflow for Dual-Sparse Spiking Neural Networks, MICRO 2024.☆10Updated last month
- MINT, Multiplier-less INTeger Quantization for Energy Efficient Spiking Neural Networks, ASP-DAC 2024, Nominated for Best Paper Award☆13Updated last year
- PyTorch Implementation of Online Training of Spiking Recurrent Neural Networks with Phase-Change Memory Synapses☆21Updated 3 years ago
- Structured clustering for memristive crossbar based neuromorphic architectures☆14Updated 5 years ago
- Official code of paper "MICSim: A Modular Simulator for Mixed-signal Compute-in-Memory based AI Accelerator", ASP-DAC 2025☆20Updated 2 months ago