Zhu-Zhenhua / MNSIM_PythonLinks
MNSIM_Python_v1.0. The former circuits-level version link: https://github.com/Zhu-Zhenhua/MNSIM_V1.1
☆34Updated last year
Alternatives and similar repositories for MNSIM_Python
Users that are interested in MNSIM_Python are comparing it to the libraries listed below
Sorting:
- Simulator for BitFusion☆100Updated 4 years ago
- ☆41Updated last year
- FracBNN: Accurate and FPGA-Efficient Binary Neural Networks with Fractional Activations☆94Updated 3 years ago
- Benchmark framework of compute-in-memory based accelerators for deep neural network☆43Updated 4 years ago
- Neural Network Evaluation Tool on Crossbar-based Accelerator with Resistive Memory☆40Updated 5 years ago
- ☆35Updated 5 years ago
- Neural Network-Hardware Co-design for Scalable RRAM-based BNN Accelerators☆11Updated 6 years ago
- RTL implementation of Flex-DPE.☆106Updated 5 years ago
- Benchmark framework of compute-in-memory based accelerators for deep neural network (on-chip training chip focused)☆52Updated 4 years ago
- ☆71Updated 5 years ago
- Benchmark framework of compute-in-memory based accelerators for deep neural network (inference engine focused)☆22Updated 4 years ago
- Tool for optimize CNN blocking☆94Updated 5 years ago
- A reference implementation of the Mind Mappings Framework.☆30Updated 3 years ago
- ☆33Updated 3 years ago
- MICRO22 artifact evaluation for Sparseloop☆45Updated 2 years ago
- A Behavior-Level Modeling Tool for Memristor-based Neuromorphic Computing Systems☆170Updated 7 months ago
- Here are some implementations of basic hardware units in RTL language (verilog for now), which can be used for area/power evaluation and …☆11Updated last year
- A co-design architecture on sparse attention☆52Updated 3 years ago
- ☆18Updated 2 years ago
- MNSIM version 1.1. We have uploaded a high-level modeling tool and please use this version: https://github.com/Zhu-Zhenhua/MNSIM_Python☆12Updated 5 years ago
- ☆71Updated 2 years ago
- ☆16Updated 3 years ago
- A Unified Framework for Training, Mapping and Simulation of ReRAM-Based Convolutional Neural Network Acceleration☆34Updated 3 years ago
- BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization (ICLR 2021)☆40Updated 4 years ago
- Accelergy is an energy estimation infrastructure for accelerator energy estimations☆144Updated last month
- ☆103Updated last year
- ☆27Updated 3 months ago
- [ICASSP'20] DNN-Chip Predictor: An Analytical Performance Predictor for DNN Accelerators with Various Dataflows and Hardware Architecture…☆25Updated 2 years ago
- ☆16Updated 4 years ago
- Official implementation of EMNLP'23 paper "Revisiting Block-based Quantisation: What is Important for Sub-8-bit LLM Inference?"☆23Updated last year