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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

Installation

To install use pip:

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 is required to use the TACC Job Manager library. Furthermore allocations on one of the available TACC HPC systems is required to run jobs.

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

Release files for taccjm 0.0.4

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for taccjm 0.0.4
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Table of built distributions (wheels) for taccjm 0.0.4
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taccjm-0.0.4-py2.py3-none-any.whl Python 3, Python 2 none any Details

Total release size: 114.5 kB

Release files / taccjm-0.0.4.tar.gz

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