GPI stands for Graphical Programming Interface which is a development environment for scientific algorithms that provides a visual workspace for assembling algorithms. Algorithm elements (i.e. nodes) can be linked together to form a flow diagram. Each node is executed according to the hierarchy of the diagram.

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Installing

Create a new conda environement for gpi

conda create -n gpi python=3.9 fftw eigen qt compilers llvm-openmp -c conda-forge
conda activate gpi

install gpi from source (eventaully we may update PyPy, then this step won't be necessary)

git clone https://github.com/gpilab/framework.git gpi_source
cd gpi_source
pip install .

The core_nodes can be built using the newly installed command

gpi_init

You can now run gpi from your conda environment.

gpi

To build a node with C dependencies:

cd /path/to/node
gpi_make --all