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TaskVine: add config and links to CCL documentation #3205

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Mar 11, 2024
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TaskVine: add config and links to CCL documentation #3205

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080375e
add taskvine config to doc
colinthomas-z80 Mar 7, 2024
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fix underline
colinthomas-z80 Mar 8, 2024
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duplicate link
colinthomas-z80 Mar 8, 2024
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focus doc on TaskVine
colinthomas-z80 Mar 8, 2024
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Merge branch 'master' into master
benclifford Mar 11, 2024
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23 changes: 17 additions & 6 deletions docs/userguide/configuring.rst
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Expand Up @@ -493,12 +493,12 @@ This system uses Grid Engine which Parsl interfaces with using the `parsl.provid
.. literalinclude:: ../../parsl/configs/cc_in2p3.py


CCL (Notre Dame, with Work Queue)
---------------------------------
CCL (Notre Dame, TaskVine - Work Queue)
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---------------------------------------

.. image:: http://ccl.cse.nd.edu/software/workqueue/WorkQueueLogoSmall.png
.. image:: https://ccl.cse.nd.edu/software/taskvine/taskvine-logo.png

To utilize Work Queue with Parsl, please install the full CCTools software package within an appropriate Anaconda or Miniconda environment
To utilize TaskVine with Parsl, please install the full CCTools software package within an appropriate Anaconda or Miniconda environment
(instructions for installing Miniconda can be found `in the Conda install guide <https://docs.conda.io/projects/conda/en/latest/user-guide/install/>`_):

.. code-block:: bash
Expand All @@ -507,11 +507,22 @@ To utilize Work Queue with Parsl, please install the full CCTools software packa
$ conda activate <environment>
$ conda install -y -c conda-forge ndcctools parsl

This creates a Conda environment on your machine with all the necessary tools and setup needed to utilize Work Queue with the Parsl library.
This creates a Conda environment on your machine with all the necessary tools and setup needed to utilize TaskVine with the Parsl library.

The following snippet shows an example configuration for using the Parsl/TaskVine executor to run applications on the local machine.
This examples uses the `parsl.executors.taskvine.TaskVineExecutor` to schedule tasks, and a local worker will be started automatically.
For more information on using TaskVine, including configurations for remote execution, visit the
`TaskVine/Parsl documentation online <https://cctools.readthedocs.io/en/latest/taskvine/#parsl>`_.

.. literalinclude:: ../../parsl/configs/vineex_local.py

.. image:: http://ccl.cse.nd.edu/software/workqueue/WorkQueueLogoSmall.png

To utilize Work Queue with Parsl, please install the full CCTools software package as described above.

The following snippet shows an example configuration for using the Work Queue distributed framework to run applications on remote machines at large.
This examples uses the `parsl.executors.WorkQueueExecutor` to schedule tasks locally,
and assumes that Work Queue workers have been externally connected to the master using the
and assumes that Work Queue workers have been externally connected to the manager using the
`work_queue_factory <https://cctools.readthedocs.io/en/latest/man_pages/work_queue_factory/>`_ or
`condor_submit_workers <https://cctools.readthedocs.io/en/latest/man_pages/condor_submit_workers/>`_ command line utilities from CCTools.
For more information on using Work Queue or to get help with running applications using CCTools,
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