Install GPI

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Minimum Hardware

It is recommended to use at least a dual processor system with 4GB of system memory for GPI.

Installation

GPI is built and distributed on PyPI, the official third-party software repository for Python packages distributed using the package manager pip. GPI also uses conda to create it's development enviromet. Conda allows you to create and maintain many separate "environments", each containing different software (such as different versions of Python). You can also save snapshots of an environment to help others verify or reproduce your work using exactly the same software versions.

Installing from the command line

  1. If you already have a conda distribution installed, skip ahead to step 2. If not, download and install Anaconda here, or Miniconda (a lighter version about 90% smaller than Anaconda) here.

    Note If you do not want terminal windows to open with the "base" conda environment active by default, you can disable this behavior with the following:

    conda config --set auto_activate_base false

  2. Launch a new terminal instance. Windows users with Anaconda can launch "Anaconda Prompt" from the Start Menu, or any other terminal (cmd.exe, PowerShell, or MinGW) for which conda has been configured. Next, choose a name for the environment that will hold GPI. We will use gpi_env for this tutorial. Finally, run the following commands to set up and configure the new environment:

    On Mac & Linux: conda create -n gpi_env python=3.9 fftw eigen

    On Windows: conda create -n gpi_env python=3.9 fftw eigen pthreads-win32 –c defaults –c conda-forge

    Then, activate conda environment:

    conda activate gpi_env

    Python 3.9 currently provides the "smoothest" running GPI, but you can also install with Python 3.7 or 3.8.

  3. Install GPI and the core nodes. In the same terminal as above (making sure gpi_env is still the active environment), run the following command:

    pip install gpilab

    Initialize & compile gpi PyFI nodes

    gpi_init

  4. Running GPI - GPI is now installed and ready to use. Run it with the command gpi. When starting from a new terminal, remember that you will first need to activate the environment gpi_env using conda activate gpi_env.

Updating GPI

You can update GPI like any other pip package, using the command line.

pip install gpilab --upgrade

Other Notes

  • If you are having issues with node libraries not being visible, make sure to check your ~/.gpirc file for the correct library path. By default, the packaged gpi_core library and any library under ~/gpi is searched.