OpenLane
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.
Installation, the short version
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.
- Get Docker (or a compatible container engine)
- Get Python 3.6 or higher (macOS | Ubuntu)
- On Ubuntu, you may also need to install venv:
apt-get install python3-venv
- Get git (macOS | Ubuntu)
- 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.
Installation, the long version
See the installation docs at https://openlane.readthedocs.io/en/latest/getting_started/installation/index.html.
Usage
After entering the OpenLane environment, you can start hardening chips: the following command, for example, runs the included spm design.
./flow.tcl -design spm
Need more help?
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.
Publication
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={}}
License
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.
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