Docker for STONNE, OMEGA and SST-STONNE simulation tools
This repository contains a single Dockerfile to build a Docker image with all different simulations developed from STONNE. It includes:
- STONNE: a cycle-level microarchitectural simulator for flexible DNN inference accelerators
- OMEGA: a simulation framework for modeling efficiency of Graph Neural Network Dataflows based on STONNE
- SST-STONNE: SST Simulator with STONNE integrated as a component, given support for sparse matrix multiplications using Flexagon
Please refer to the repository of each to find more information about them.
How to use
The Docker image is available at Docker Hub (it requires ~12GB available). You download and run the image directly running the following command:
docker run -it stonnesimulator/stonne-simulatorsIn case you want to rebuild the image with the latest version of each simulator, you can use the following command (from the root of this repository):
docker build -t <your_image_name> .File structure
All the main executables are directly accesible by their executables names(stonne, omega and sst), which are included in the system path. All simulators folders can be found at root directory with their respective name (/STONNE, /OMEGA and /SST-STONNE).