Infrastructure Installation

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Infrastructure Installation Instructions

This tutorial involves hands-on exercises and labs. In order to follow our interactive live session better, please follow the instructions for installing the necessary infrastructure and exercises. It's even better if you can go through the exercises before the tutorial session and be ready with questions.

Option1: Installation with Docker (docker app required)

To install the tutorial docker:

If you do not have the docker app installed already, please install docker (community edition)

turn on virtualization via BIOS settings.

Go to our tutorial exercises repo and follow instructions under `Using Docker`

Option2: Native Installation on Linux/Unix System

Please follow to following instructions to manually install the required tools and tutorial exercises:

Debug Tip: depending on your system, tools might be installed into other directories than ~/.local, you can find out where Accelergy and its plug-ins are installed by which accelergy -- if different, replace all the ~/.local in the paths with your own installation prefix.

 sudo apt install scons libconfig++-dev libboost-dev libboost-iostreams-dev libboost-serialization-dev libyaml-cpp-dev libncurses-dev libtinfo-dev libgpm-dev git build-essential python3-pip  
                   mkdir timeloop-accelergy  
                   cd timeloop-accelergy  
                   git clone --recurse-submodules https://github.com/Accelergy-Project/accelergy-timeloop-infrastructure.git  
                   cd accelergy-timeloop-infrastructure  
                   make pull 
                   cd src/cacti  
                   make  
                   cd ../accelergy  
                   pip3 install --upgrade pip 
                   pip3 install .  
                   cd ../accelergy-aladdin-plug-in/  
                   pip3 install .  
                   cd ../accelergy-cacti-plug-in/  
                   pip3 install .  
                   cp -r ../cacti ~/.local/share/accelergy/estimation_plug_ins/accelergy-cacti-plug-in/  
                   cd ../accelergy-table-based-plug-ins/  
                   pip3 install .  
                   cd ../timeloop  
                   cd src/  
                   ln -s ../pat-public/src/pat .  
                   cd ..  
                   scons -j4 --accelergy --static  
                   cp build/timeloop-* ~/.local/bin  
                   cd ../../..  
                   git clone https://github.com/Accelergy-Project/timeloop-accelergy-exercises.git  
                   accelergy 
                   accelergyTables  
                   python3 -m pip install git+https://github.com/Fibertree-Project/fibertree 
                   pip3 install jupyter 
                   export PATH=$PATH:~/.local/bin

Now you can

cd timeloop-accelergy-exercises
jupyter notebook
go to workspace/exercises and pick the tutorial of your interest

Fibertree/Timeloop/Accelergy Tutorial

Infrastructure Installation Instructions for
Timeloop/Accelergy and Sparse Tensor Accelerators Tutorials

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