daquintero / piel

Photonic Integrated ELectronics. Microservices to codesign photonics, electronics, quantum, and more.

Photonic Integrated ELectronics

Microservices to codesign photonics, electronics, communications, quantum, and more.

• Free software: MIT license
• Documentation: https://piel.readthedocs.io
• Slack Channel: Join #piel in open-source-silicon.dev

Target functionality

• Co-simulation and optimisation between integrated photonic and electronic chip design.
• System interconnection modelling in multiple domains.
• Chip and interposer design integration.
• Co-design components to circuits flow.
• Maintain a multi-tool dependency design environment.

piel aims to provide an integrated workflow to co-design photonics and electronics, classically and quantum. It does not aim to replace the individual functionality of each design tool, but rather provide a glue to easily connect them all together and extract the system performance.

Examples

Follow the many examples in the documentation.

Microservices Toolset

This package provides interconnection functions to easily co-design microelectronics through the functionality of the major python-integrated microelectronics projects and photonics via the GDSFactory project.

Some existing microservice dependency integrations are:

• amaranth - A modern hardware definition language and toolchain based on Python.
• cocotb - a coroutine based cosimulation library for writing VHDL and Verilog testbenches in Python.
• hdl21 - Analog Hardware Description Library in Python
• GDSFactory - An open source platform for end to-end photonic chip design and validation
• OpenLane v1 - an automated RTL to GDSII flow based on several components including OpenROAD, Yosys, Magic, Netgen and custom methodology scripts for design exploration and optimization
• Openlane v2 - The next generation of OpenLane, rewritten from scratch in Python with a modular architecture
• sax - S-parameter based frequency domain circuit simulations and optimizations using JAX.
• thewalrus -A library for the calculation of hafnians, Hermite polynomials and Gaussian boson sampling.
• qutip - QuTiP: Quantum Toolbox in Python

piel also provides a common dependency-resolved environment for all these tools, so that you just get started with designing rather than manage dependencies (which is a massive pain). Full flow environment toolsets can use nix, docker, and local installations following the existing open-source design flows.

Contribution

If you feel dedicated enough to become a project maintainer, or just want to do a single contribution, let's do this together!

piel's Issues

FIX: Automated permissions on jupyter lab IIC-OSIC-TOOLS environment

Currently we have to run things from start_shell.sh root, do we have to?

FEAT: Create cookiecutter for piel project structure

• piel version:
• Python version:
• Operating System:

Description

Create cookiecutter for piel project structure

What I Did

Paste the command(s) you ran and the output.
If there was a crash, please include the traceback here.

FEAT: Create mambaforge recepie for ngspice and multi-platform installation

Create mambaforge recepie for ngspice and multi-platform installation so that ngspice installs itself it is not, and related dependencies.

Sometimes you're not working inside IIC-OSIC-TOOLS

FIX: Improve import loading time.

Description

Does the piel import have to take a few seconds long? Can we break down the imports into submodules? How do we deal with integration functions accordingly?

What I Did

import piel

Begun an example on `piel` to demonstate this flow and document the features we add.

Also to clearly structure the design flow we want to achive.

FEAT: Implement custom toolset domain installation rather than full installation

pip install piel[analogue] or something like this. How do perform imports on the microservice without actually having to use all the modules in a particular environment?