Skip to content

Module System

The REPACSS high-performance computing system utilizes the Lmod environment module system to manage access to installed software packages. This mechanism allows users to dynamically modify their shell environment, facilitating the configuration of compilers, libraries, and applications as needed for research and instructional activities.

Listing Available Modules

To display all software modules currently available on the system, use the following command:

module avail

Searching with module spider

The module spider command enables advanced search functionality. It is particularly useful for identifying available versions and any associated dependencies or prerequisites.

To locate all modules related to a specific keyword:

module spider python

To obtain detailed information for a specific module version:

module spider python/3.11.0

Loading Modules

To configure the environment for use with a specific software package, load its module using:

module load gcc/14.2.0
module load openmpi/4.1.6

Multiple modules may be loaded simultaneously:

module load gcc/14.2.0 cuda/12.0

It is strongly recommended to specify exact version numbers to ensure consistency across computational workflows.

Unloading Modules

To remove a specific software module from the current environment:

module unload gcc/14.2.0

To remove all loaded modules and restore a clean environment:

module purge

Viewing Module Details

To review the environment modifications introduced by a specific module:

module show hdf5

This command will display paths, environment variables, and any dependencies configured upon loading.

Listing Active Modules

To view all software modules currently loaded in your session:

module list

This is useful for troubleshooting and for documenting your computational environment.

Recommendations for Use in Job Scripts

  1. Begin job scripts with module purge to ensure a clean environment.
  2. Load only the required modules for the task at hand.
  3. Document loaded modules as part of your reproducibility best practices.

Additional Information

For a comprehensive list of software packages available on REPACSS, refer to the Available Software documentation.

Users working in Python environments should also consult the Installing Packages guide for additional configuration instructions.

For support inquiries, contact the REPACSS administration team at:

repacss.support@ttu.edu