semvec/pypi-packages huggingface dataset:
taccjm 0.0.4
TACC Job Manager
License: MIT
Requires Python: >3

======
taccjm
======

TACC Job Manager is a lightweight python library for managing
HPC resources provided by the Texas Advanced Computing Center (TACC).

Description
===========

TACCJM manages ssh connections to TACC systems for deploying applications, running jobs, and downloading/uploading data. 
These connections to are maintained by a locally deployed server that exposes an API to access TACC connections via http endpoints.
This gives the user several methods to establish and maintain connections to TACC resources programmatically and without repeated 2-factor authentication.
Furthermore the application and job hierarchy makes it easier to create reproducible and shareable HPC workflows for research.

Requirements
============

Using taccjm requires a TACC account enable with 2-fa. In order to run jobs
on TACC systems as well, you will need a valid allocation associated with your
user ID. Finally, your TACC user account needs to have 2-factor authentication
enabled. See the `TACC user portal <https://portal.tacc.utexas.edu/>`_

Installation
============

To install use pip:

.. code-block:: python

        pip install taccjm

A docker image for taccjm is in development and will hopefully be available in a future release.

Requirements
============

A `TACC user portal <https://portal.tacc.utexas.edu/>`_ is required to use the TACC Job Manager library. Furthermore allocations on one of the available TACC HPC systems is required to run jobs.

.. warning::

        TACC Job Manager allows you to programmatically access TACC resources.
        Please be responsible in your access and usage of TACC resources.
        Review the [TACC Usage Policy](https://portal.tacc.utexas.edu/tacc-usage-policy) carefully before using any TACC resources.

This project has been set up using PyScaffold 4.0.2. For details and usage
information on PyScaffold see https://pyscaffold.org/.