PSyclone - a compiler for Finite Element/Volume/Difference DSLs in Fortran


Keywords
compiler, finite-difference, finite-elements, finite-volume, fortran, hacktoberfest, high-performance-computing, optimization, parallel-computing, python
License
BSD-1-Clause
Install
pip install PSyclone==2.5.0

Documentation

Introduction

Welcome to PSyclone. PSyclone is a code generation and transformation system that generates appropriate code for the PSyKAl code structure developed in the GungHo project. It is also capable of working with existing Fortran code.

Please see psyclone.pdf in this directory (or on ReadTheDocs) for more information. If you would prefer to build the documentation, please see the README file in the "doc" directory.

Try it on Binder

Some of the examples are available as Jupyter notebooks. These may be launched using Binder from the links below. (Note that the first time this is done, Binder has to construct a Container and install the necessary software. This can take several minutes. You can track its progress by clicking the 'show' link next to the 'Build logs' heading.)

  • Binder Uses PSyclone's NEMO API to process some simple Fortran code, display the resulting PSyIR and then re-generate Fortran.

  • Binder Uses PSyclone's GOcean API to process example code that conforms to the PSyKAl separation of concerns. Transformations are applied in order to fuse various loops before parallelising the result with OpenMP.

  • Binder demonstrates the generation of a DAG for the PSy layer of the previous example.

Tutorial

The PSyclone tutorial may be found in the tutorial directory. Since part of this takes the form of a series of Jupyter notebooks, it too may be launched on Binder.

Installation

If you are reading this then you have presumably not already installed PSyclone from the Python Package Index (https://pypi.python.org/pypi). That being so, you can install this copy of PSyclone by doing:

$ python setup.py install

or, if you do not have root access:

$ python setup.py install --prefix /my/install/path

Alternatively, if you have pip:

$ pip install .

For a user-local installation simply add the --user flag:

$ pip install --user .

This installs the PSyclone modules in ~/.local/lib/pythonX.Y/site-packages (where X.Y is the version of Python that you are using) and the 'psyclone' script in ~/.local/bin. Depending on your linux distribution, you may need to add the latter location to your PATH.

Structure

Path Description
bin/ Top-level driver scripts for PSyclone and the PSyclone kernel tool
changelog Information on changes between releases
doc/ Documentation source using Sphinx
examples/ Simple examples
psyclone.pdf Generated documentation
README.md This file
README.gource Information on how to generate a gource video from the repository
README.uml Information on how to create UML class diagrams from the source using pyreverse
src/psyclone The Python source code
src/psyclone/tests/ Unit and functional tests using pytest
tutorial/notebooks Tutorial using Jupyter notebooks
tutorial/practicals Hands-on exercises using a local installation of PSyclone

Status

Build Status

codecov