piel 0.0.56

Creator: railscoder56

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Description:

piel 0.0.56

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!

License

For personal and professional use. You cannot resell or redistribute these repositories in their original state.

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