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Parsl - Parallel Scripting Library
==================================
|licence| |docs| |NSF-1550588| |NSF-1550476| |NSF-1550562| |NSF-1550528| |NumFOCUS| |CZI-EOSS|
Parsl extends parallelism in Python beyond a single computer.
You can use Parsl
`just like Python's parallel executors <https://parsl.readthedocs.io/en/stable/userguide/workflow.html#parallel-workflows-with-loops>`_
but across *multiple cores and nodes*.
However, the real power of Parsl is in expressing multi-step workflows of functions.
Parsl lets you chain functions together and will launch each function as inputs and computing resources are available.
.. code-block:: python
import parsl
from parsl import python_app
# Make functions parallel by decorating them
@python_app
def f(x):
return x + 1
@python_app
def g(x, y):
return x + y
# Start Parsl on a single computer
with parsl.load():
# These functions now return Futures
future = f(1)
assert future.result() == 2
# Functions run concurrently, can be chained
f_a, f_b = f(2), f(3)
future = g(f_a, f_b)
assert future.result() == 7
Start with the `configuration quickstart <https://parsl.readthedocs.io/en/stable/quickstart.html#getting-started>`_ to learn how to tell Parsl how to use your computing resource,
then explore the `parallel computing patterns <https://parsl.readthedocs.io/en/stable/userguide/workflow.html>`_ to determine how to use parallelism best in your application.
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:target: https://github.com/Parsl/parsl/blob/master/LICENSE
:alt: Apache Licence V2.0
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:alt: NSF award info
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:target: https://nsf.gov/awardsearch/showAward?AWD_ID=1550476
:alt: NSF award info
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:alt: NSF award info
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:target: https://czi.co/EOSS
:alt: CZI's Essential Open Source Software for Science
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Quickstart
==========
Install Parsl using pip::
$ pip3 install parsl
To run the Parsl tutorial notebooks you will need to install Jupyter::
$ pip3 install jupyter
Detailed information about setting up Jupyter with Python is available `here <https://jupyter.readthedocs.io/en/latest/install.html>`_
Note: Parsl uses an opt-in model to collect usage statistics for reporting and improvement purposes. To understand what stats are collected and enable collection please refer to the `usage tracking guide <http://parsl.readthedocs.io/en/stable/userguide/usage_tracking.html>`__
Documentation
=============
The complete parsl documentation is hosted `here <http://parsl.readthedocs.io/en/stable/>`_.
The Parsl tutorial is hosted on live Jupyter notebooks `here <https://mybinder.org/v2/gh/Parsl/parsl-tutorial/master>`_
For Developers
--------------
1. Download Parsl::
$ git clone https://github.com/Parsl/parsl
2. Build and Test::
$ cd parsl # navigate to the root directory of the project
$ make # show all available makefile targets
$ make virtualenv # create a virtual environment
$ source .venv/bin/activate # activate the virtual environment
$ make deps # install python dependencies from test-requirements.txt
$ make test # make (all) tests. Run "make config_local_test" for a faster, smaller test set.
$ make clean # remove virtualenv and all test and build artifacts
3. Install::
$ cd parsl # only if you didn't enter the top-level directory in step 2 above
$ python3 setup.py install
4. Use Parsl!
Requirements
============
Parsl is supported in Python 3.9+. Requirements can be found `here <requirements.txt>`_. Requirements for running tests can be found `here <test-requirements.txt>`_.
Code of Conduct
===============
Parsl seeks to foster an open and welcoming environment - Please see the `Parsl Code of Conduct <https://github.com/Parsl/parsl?tab=coc-ov-file#parsl-code-of-conduct>`_ for more details.
Contributing
============
We welcome contributions from the community. Please see our `contributing guide <https://github.com/Parsl/parsl/blob/master/CONTRIBUTING.rst>`_.
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