OpenLane is an automated RTL to GDSII flow based on several components including OpenROAD, Yosys, Magic, Netgen, CVC, SPEF-Extractor, KLayout and a number of custom scripts for design exploration and optimization. The flow performs all ASIC implementation steps from RTL all the way down to GDSII.

You can check out the documentation, including in-depth guides and reference manuals at ReadTheDocs.

If you just want to try OpenLane out, try this Colaboratory by our friends at Google and ChipsAlliance. It's an online Python-based utility, and the best part is, you don't need to install anything.

The short version is, to install the OpenLane environment...

On Windows, install and launch the Windows Subsystem for Linux before doing anything. We recommend and provide instructions for Ubuntu 20.04.

On macOS, get brew.

1. Get Docker (or a compatible container engine)
   • On Ubuntu, follow the Docker post install instructions after you install Docker.
2. Get Python 3.6 or higher (macOS | Ubuntu)
   • On Ubuntu, you may also need to install venv: apt-get install python3-venv, and pip: apt-get install python3-pip.
3. Get git (macOS | Ubuntu)
4. Get GNU Make (macOS | Ubuntu)

Run the following commands in your command-line prompt:

cd $HOME
git clone https://github.com/The-OpenROAD-Project/OpenLane
cd OpenLane
make
make test

If everything's gone smoothly, that's it. OpenLane is set up on your computer. To enter the OpenLane environment, cd $HOME/OpenLane and then make mount.

See the installation docs at https://openlane.readthedocs.io/en/latest/getting_started/installation/index.html.

After entering the OpenLane environment, you can start hardening chips: the following command, for example, runs the included spm design.

./flow.tcl -design spm

You can join the Open Source Silicon Slack, where you can ask thousands of other open source hardware enthusiasts for help with setting up or running OpenLane.

If you use OpenLane in your research, please cite the following paper.

• M. Shalan and T. Edwards, “Building OpenLANE: A 130nm OpenROAD-based Tapeout-Proven Flow: Invited Paper,” 2020 IEEE/ACM International Conference On Computer Aided Design (ICCAD), San Diego, CA, USA, 2020, pp. 1-6. Paper

@INPROCEEDINGS{9256623,
  author={Shalan, Mohamed and Edwards, Tim},
  booktitle={2020 IEEE/ACM International Conference On Computer Aided Design (ICCAD)}, 
  title={Building OpenLANE: A 130nm OpenROAD-based Tapeout- Proven Flow : Invited Paper}, 
  year={2020},
  volume={},
  number={},
  pages={1-6},
  doi={}}

The Apache License, version 2.0.

Docker images distributed by Efabless Corporation under the same license.

Binaries in OpenLane distributions may fall under stricter open source licenses.