Cortix is a Python library for system-level module coupling, execution, and analysis.
A Python library for system-level module coupling, execution, and analysis.
What is Cortix?
- Cortix is a massively parallel Python library for system-level module coupling, execution, and analysis of dynamical system models that exchange time-dependent data.
- Cortix takes as input a collection of computational modules and provides an environment for the coupling of these modules into a single simulation.
- Cortix supports:
- Module decoupling
- Communication between modules
- Data visualization
- Cortix runs on top of MPI and scales across many cores.
Installation: start by installing MPI
Installing via PyPI
pip install --user cortix
Installing from source
- Clone this repository to install the latest version of Cortix
git clone https://github.com/dpploy/cortix.git
- Install the required dependencies listed in
pip install --user -r cortix/requirements.txt
cortix's parent path to your
Note: you may want to add this line to your
.bashrc in order for it to be persistent
Verify your Cortix install by running the Droplet example
mpirun -np 4 examples/droplet_run.py
Testing is facilitated by PyTest. Tests can be run locally from within the
cd tests && py.test
Cortix requires a set of input files, a driver, and a configuration file. See
examples/console_run for working examples of Cortix simulations. Cortix will output logging information to
stdout by default, extensive logging of runtime information is also stored in the
<work_dir> directory specified in the
cortix-config.xml input file.
- Valmor F. de Almeida: email@example.com
- Taha M. Azzaoui: firstname.lastname@example.org
- Seamus D. Gallagher: email@example.com
- Austin Rotker: firstname.lastname@example.org
- Gilberto E. Alas: email@example.com
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.
Please make sure to update tests as appropriate.
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