Difference between revisions of "Module system"
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HPC facilities provide a user friendly environment to manage a large number of codes and versions of those codes, on this cluster, we have lmod [https://modules.readthedocs.io/en/latest/] module system available to manage the user environment. | HPC facilities provide a user friendly environment to manage a large number of codes and versions of those codes, on this cluster, we have lmod [https://modules.readthedocs.io/en/latest/] module system available to manage the user environment. | ||
To see the codes that are available, the module command is available: | To see the codes that are available, the module command is available: | ||
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* '''PyTorch''' ( in conda-25.1.1-python-3.9.21 module ) | * '''PyTorch''' ( in conda-25.1.1-python-3.9.21 module ) | ||
| − | == [ https://asciinema.org/a/NXTdW10S7kgN31i4PhtWmqK32 Watch Demo] == | + | == [https://asciinema.org/a/NXTdW10S7kgN31i4PhtWmqK32 Watch Demo] == |
Next: | Next: | ||
| − | [[ | + | [[Debuging_and_Interactive_Slurm_Jobs |Debuging_and_Interactive_Slurm_Jobs]] |
Up: | Up: | ||
[[ HPC_Usage| HPC_Usage]] | [[ HPC_Usage| HPC_Usage]] | ||
Latest revision as of 20:35, 8 May 2025
HPC facilities provide a user friendly environment to manage a large number of codes and versions of those codes, on this cluster, we have lmod [1] module system available to manage the user environment.
To see the codes that are available, the module command is available:
$ module avail -------------------------- /usr/share/modulefiles ------------------------------------- mpi/openmpi-x86_64
------------------------ /opt/ohpc/pub/modulefiles -------------------------------------- applications/gpu/gromacs/2024.4 applications/gpu/qespresso/7.3.1
the module system also provide a set of additional commands for managing modules:
module load to activate an environment:
module load applications/gpu/gromacs/2024.4
Module unload:
module unload applications/gpu/gromacs/2024.4
module purge:
module purge
and module list, to show loaded modules
module list
Available Codes
Here are some of the pre-configured GPU capable codes available on the cluster:
- Quantum Espresso
- Gromacs
- Tensorflow ( in conda-25.1.1-python-3.9.21 module )
- PyTorch ( in conda-25.1.1-python-3.9.21 module )
Watch Demo
Next: Debuging_and_Interactive_Slurm_Jobs
Up: HPC_Usage
