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. You can discuss OpenLane 2 in the #openlane-2 channel of the Efabless Open Source Silicon Slack.
OpenLane 2 is generally available for educators and for those implementing complex chips requiring custom implementation steps for which OpenLane 1 is not sufficiently flexible.
If you're looking to implement a project for the OpenMPW or chipIgnite shuttles, we recommend OpenLane 1 at this time.
from openlane.flows import Flow
Classic = Flow.factory.get("Classic")
flow = Classic(
{
"PDK": "sky130A",
"DESIGN_NAME": "spm",
"VERILOG_FILES": ["./src/spm.v"],
"CLOCK_PORT": "clk",
"CLOCK_PERIOD": 10,
},
design_dir=".",
)
flow.start()
You can try OpenLane right in your browser, free-of-charge, using Google Colaboratory by following this link.
You'll need the following:
- Python 3.8 or higher with PIP, Venv and Tkinter
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.
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.
You'll need to bring your own compiled utilities, but otherwise, simply install OpenLane as follows:
python3 -m pip install --upgrade openlane
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
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 bundled with OpenLane either via Cachix or Docker are distributed by Efabless Corporation and may fall under stricter open source licenses.