HOWTO: Install Tensorflow locally

This documentation describes how to install tensorflow package locally in your $HOME space.

Load python module

module load python/3.6-conda5.2

Clone python installation to local directory

Three alternative create commands are listed.  These cover the most common cases:

conda create -n local --clone="$PYTHON_HOME"

This will clone the entire python installation to ~/envs/local directory. The process will take several minutes.



OSCgetent is a command developed at OSC for use on OSC's systems and is similar to the standard getent command. It lets one view group information.



OSCusage is command developed at OSC for use on OSC's systems.  It allows for a user to see information on their project's current RU balance, including which users and jobs incurred what charges.

HOWTO: Use a Conda Environment With Jupyter

Before Conda environments may be used by Jupyter Notebooks they must be installed so that Jupyter knows about them. Older versions of Conda automatically installed a Jupyter kernel for themselves, that installation process now must be performed manually by the user.

To perform the installation the user should load their prefered version of Python, activate their Conda environment and run the following command:

Rolling Reboot

We will have rolling reboots of all three clusters (Owens, Ruby, and Pitzer) including login and compute nodes, starting from 9:30 AM Wednesday, June 05, 2019. The rolling reboots will address the caching problems on the file systems. The rolling reboots won't affect any running jobs, but users may experience longer queue wait time than usual on the cluster. We apologize for any inconvenience this may cause you. Please contact if you have any questions.