openlane 2.0.0a49

An infrastructure for implementing chip design flows

Efabless OpenLane 2 is in early access and all APIs are, presently, highly unstable and subject to change without notice.

If you don't know why you're here, you're probably looking for the stable version of OpenLane at https://github.com/The-OpenROAD-Project/OpenLane.

OpenLane

OpenLane is a RTL to GDSII 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 performs all ASIC implementation steps from RTL all the way down to GDSII.

You can find the documentation here to get started.

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()

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). Recommended, as it is more integrated with your filesystem and overall has less upload and download deltas.

See Nix-based installation in the docs.

Docker

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

See Docker-based installation in the docs.

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

Python-only Installation (Advanced)

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

python3 -m pip install --upgrade openlane

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

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.