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Basic Setup
This page shows the basic setup for using OpenRAM.
Table of Contents
Dependencies
In general, the OpenRAM compiler has very few dependencies:
- Git
- Make
- Python 3.5 or higher
- Various Python packages (pip install -r requirements.txt)
- Anaconda
Anaconda
We use Anaconda package manager to install the tools used by OpenRAM. This way, you don't have to worry about updating/installing these tools. OpenRAM installs Anaconda silently in the background (without affecting any existing Anaconda setup you have).
OpenRAM uses Anaconda by default, but you can turn this feature off by setting
use_conda = False in your config file. Then, OpenRAM will use the tools you
have installed on your system.
Note: If you want to install Anaconda without running OpenRAM (for example to run unit tests, which do not install Anaconda), you can run:
./install_conda.sh
Docker (deprecated, use Anaconda instead)
We have a docker setup to run OpenRAM. To use this, you should run:
cd OpenRAM/docker
make build
This must be run once and will take a while to build all the tools. If you have the OpenRAM library installed, you can also run the docker setup from the package installation directory.
Environment
If you haven't installed the OpenRAM library or you want to use a different OpenRAM installation, you can set two environment variables:
OPENRAM_HOMEshould point to the compiler source directory.OPENRAM_TECHshould point to one or more root technology directories (colon separated).
If you have the library installed and OPENRAM_HOME set, the library will use
the installation on the OPENRAM_HOME path.
If you don't have the library, you should also add OPENRAM_HOME to your
PYTHONPATH. This is not needed if you have the library.
You can add these environment variables to your .bashrc:
export OPENRAM_HOME="$HOME/OpenRAM/compiler"
export OPENRAM_TECH="$HOME/OpenRAM/technology"
export PYTHONPATH=$OPENRAM_HOME
Note that if you want symbols to resolve in your editor, you may also want to add the specific technology directory that you use and any custom technology modules as well. For example:
export PYTHONPATH="$OPENRAM_HOME:$OPENRAM_TECH/sky130:$OPENRAM_TECH/sky130/custom"
We include the tech files necessary for SCMOS SCN4M_SUBM, FreePDK45. The SCMOS spice models, however, are generic and should be replaced with foundry models. You may get the entire FreePDK45 PDK here.
Sky130 Setup
To install Sky130, you must have open_pdks installed in $PDK_ROOT. We highly recommend that you use the version tagged in the Makefile as others have not been verified. To install this automatically, you can run:
cd $HOME/OpenRAM
make pdk
Note: If you don't have Magic installed, you need to install and activate the conda environment before running this command. You can run:
./install_conda.sh source miniconda/bin/activate
Then you must also install the Sky130 SRAM build space with the appropriate cell views into the OpenRAM technology directory by running:
cd $HOME/OpenRAM
make install
You can also run these from the package installation directory if you have the OpenRAM library.