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Logik

Regression Lint


Logik is an open source FPGA toolchain that fully automates converting RTL to bits, including synthesis, placement, routing, bitstream generation, and analysis. Users enter design sources, constraints, and compile options through a simple SiliconCompiler Python API. Once setup is complete, automated compilation can be initiated with a single line run command.

logik_flow

Logik supports most of the features you would expect in a commercial proprietary FPGA tool chain.

FeatureStatus
Design languagesVerilog, SystemVerilog, VHDL
ALU synthesisSupported
RAM synthesisSupported
Timing constraints (SDC)Supported
Pin Constraints (PCF)Supported
Bitstream generationSupported
IP managementSupported
Remote compilationSupported
Multi-clock designsIn progress
FPGA devicesZA

Getting Started

The Logik project is available through PyPi and can be installed using pip. If you want to run locally on your machine, you will need to install all of the pre-requisites or launch the Logik Docker image.

python -m pip install --upgrade logik

The following example illustrate some essential Logik features. For complete documentation of all options available, see the SiliconCompiler project.

from siliconcompiler import Chip
from logik.targets import logik_target

def hello_adder():

    # Create compilation object
    chip = Chip('adder')

    # Specify design sources
    chip.input('adder.v')

    # Specify pin constraints
    chip.input('adder.pcf')

    # Compiler options
    chip.set('option', 'quiet', True)
    chip.set('option', 'remote', True)

    # Select target fpga
    chip.set('fpga', 'partname', 'logik_demo')

    # Load target settings
    chip.use(logik_target)

    # Run compiler
    chip.run()

    # Display compiler results
    chip.summary()

if __name__ == "__main__":
    hello_adder()

This code can be run with ./adder.py -remote in the examples/adder directory, resulting in an FPGA bitstream at build/adder/job0/convert_bitstream/0/outputs/adder.bin.

To test out the generated bitstream, you can upload it to an emulated FPGA device running in the Zero ASIC Digital Twin Platform.

More Examples

Documentation

Installation

Logik is available as wheel packages on PyPI for macOS, Windows and Linux platforms. For a Python 3.8-3.12 environment, just use pip to install.

python -m pip install --upgrade logik

Running natively on your local machine will require installing a number of prerequisites:

Automated Ubuntu based install scripts are included for convenience within the SiliconCompiler project. Detailed instructions for installing all tools can be found in the SiliconCompiler Installation Guide.

Running Docker

A Docker image is provided for users who wish to avoid the installation of the pre-requisite tools. The following command starts a new container from that image and maps the local directory sc_work to the path /sc_work in the container.

docker run -it -v "${PWD}/sc_work:/sc_work" ghcr.io/siliconcompiler/sc_runner:latest

License

MIT

Issues / Bugs

We use GitHub Issues for tracking requests and bugs.