LibrePDK: Difference between revisions

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IdeaPlaceExPy requires the Python system headers to be installed and the virtual env has to match the Python version with which it was compiled.
IdeaPlaceExPy requires the Python system headers to be installed and the virtual env has to match the Python version with which it was compiled.


=== '''Using LibrePDK in a Virtual Environment''' ===
=== Using LibrePDK in a Virtual Environment ===
It is recommended to use LibrePDK in a Python virtual environment to avoid dependency conflicts with
It is recommended to use LibrePDK in a Python virtual environment to avoid dependency conflicts with
system-wide Python packages.
system-wide Python packages.

Revision as of 00:41, 26 May 2026

The LibrePDK is the library driving Danube River and the Pad Cell Generator

ALibrePDK screen shot

It is responsible for generating discrete parts with specific parameters for a specific process.

The properties of the parts can be optimized by utilizing the calibration values extracted from the measurements of taped out Danube River test wafers.

Adding a new technology

Technologies currently supported can be found in the technologies subfolder.

https://gitlab.libresilicon.com/generator-tools/librepdk/-/tree/master/LibrePDK/technologies?ref_type=heads

New technologies can be added by modifying scripts/update_technologies.sh and adding a tech.python script to the technologies folder.

After that, LibrePDK should be capable of auto discovering the new process after running the update script.

Installation

First please clone the repo

pip install https+git://gitlab.libresilicon.com/generator-tools/librepdk.git

Don't forget to make sure that all the submodules and their submodules are cloned

git submodule update --init --recursive

For placement of discrete componentes used in more complex components like Driver Circuits, OpAmps, etc. IdeaPlaceExPy is being used.

IdeaPlaceExPy requires the Python system headers to be installed and the virtual env has to match the Python version with which it was compiled.

Using LibrePDK in a Virtual Environment

It is recommended to use LibrePDK in a Python virtual environment to avoid dependency conflicts with system-wide Python packages.

After you've installed all the below dependencies the recommended way of installing the remaining dependencies is to run

uv sync --no-cache

OpenVAF models

IHP's SG13G2 technology node uses OpenVAF models for the ngspice simulation tool.

The following script will make sure that rust and the OpenVAF tool are present and then compiles the models into the osdi format and places them into the technology directory ready to be used by LibrePDK.

Simply run the following script and confirm the installation by checking for the LibrePDK/technologies/spice/SG13G2/devices/*/*.osdi files.

./scripts/update_ngspice_extensions.sh

LP solver

Google now officially runs the project and you can get the most recent version from GitHub

Install is by cloning and building it

git clone https://github.com/lp-solve/lp_solve
pushd lp_solve/lpsolve55
rm -rf bin/ux64
sh ccc
popd

Then you can copy the shared object file in solve/lpsolve55/bin/ux64 into your /usr/lib64 and copy the headers with

mkdir /usr/include/lpsolve
cp lp_solve/*.h /usr/include/lpsolve/

OR, you can install the system package and devel package with your package manager

Lemon

That library has been developed by a Hungarian university which doesn't maintain their Mercurial setup. Best approach is to use the version you find in your distribution

Limbo

The official version of Limbo has been a total mess when it comes to building libs and linking them. I had to make some severe modifications which makes CMake properly build shared object files and detects the system wide installation of the dependencies using proper CMake detection functions

Just run

git clone https://gitlab.libresilicon.com/leviathan/limbo.git
mkdir Limbo/build
pushd Limbo/build
cmake ..
make
make install
popd

Components

LibrePDK provides generators for the basic components usually found within a VLSI/ULSI design, such as resistors, capacitors, diodes and transistors.

Capacitors

LibrePDK can calculate the specific geometry based on the device rules and available parameters for generating any desired target capacitance value. Below a 50pF capacitor can be seen. You will notice the enormous dimensions of the structure.

Usually we deal with femto Farad in VLSI design so you should never be in a situation where you have large capacitors on your chip.

LibrePDK still can generate you a device, you just won't be happy about it.

Resistors

There's two types of resistor structures available: Meander and strip resistors

LibrePDK automatically adds a guard ring around any resistor which should be on a well

The meander here is 200 Ohms for GF180A@3.3V

The meander here is 500 Ohms for GF180A@3.3V

Transistors

In order to make sure that our transistors don't go up in flame, we have to take the hot carrier migration and thermal budget into consideration when we decide what transistor to use and whether it should have only one gate or should be fingered.

LibrePDK takes care of this and chooses the right transistor with the right amount of fingers for you based on the target operating voltage and current you plan to pump through it, you provide.

Additionally, you can also overwrite the thermal budget which usually is assumed to be for an internal circuit which isn't bonded directly to the outside.