If you're looking to tapeout an OpenLane 2/LibreLane-based design with ChipFoundry, an appropriate version of OpenLane 2/LibreLane will be automatically pulled by your target template:

• Caravel User Project: https://github.com/chipfoundry/caravel_user_project
• OpenFrame User Project: https://github.com/chipfoundry/openframe_user_project

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OpenLane

OpenLane is an ASIC infrastructure library based on several components including OpenROAD, Yosys, Magic, Netgen, CVC, KLayout and a number of custom scripts for design exploration and optimization.

A reference flow, "Classic", performs all ASIC implementation steps from RTL all the way down to GDSII.

You can find the documentation here to get started.

Try it out

You can try OpenLane right in your browser, free-of-charge, using Google Colaboratory by following this link.

Installation

You'll need the following:

• Python 3.8 or higher with PIP, Venv and Tkinter

Nix (Recommended)

Works for macOS and Linux (x86-64 and aarch64). Recommended, as it is more integrated with your filesystem and overall has less upload and download deltas.

See Nix-based installation in the docs for more info.

Docker

Works for Windows, macOS and Linux (x86-64 and aarch64).

See Docker-based installation in the docs for more info.

Do note you'll need to add --dockerized right after openlane in most CLI invocations.

Python-only Installation (Advanced, Not Recommended)

You'll need to bring your own compiled utilities, but otherwise, simply install OpenLane as follows:

python3 -m pip install --upgrade openlane

Python-only installations are presently unsupported and entirely at your own risk.

Usage

In the root folder of the repository, you may invoke:

python3 -m openlane --pdk-root <path/to/pdk> </path/to/config.json>

To start with, you can try:

python3 -m openlane --pdk-root $HOME/.volare ./designs/spm/config.json

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 and Information

The Apache License, version 2.0.

Docker images distributed by Efabless Corporation under the same license.

Binaries bundled with OpenLane either via Cachix or Docker are distributed by Efabless Corporation and may fall under stricter open source licenses.