Difference between revisions of "Module system"

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[[File:Lmod-logo.jpeg| 250px]]
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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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== Available Codes ==
 
Here are some of the pre-configured GPU capable codes available on the cluster:  
 
Here are some of the pre-configured GPU capable codes available on the cluster:  
- Quantum Espresso
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* '''Quantum Espresso'''
- Gromacs
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* '''Gromacs'''
- Tensorflow  ( in conda-25.1.1-python-3.9.21 module )
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* '''Tensorflow'''   ( in conda-25.1.1-python-3.9.21 module )
- PyTorch  ( in conda-25.1.1-python-3.9.21 module )
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* '''PyTorch'''   ( in conda-25.1.1-python-3.9.21 module )
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== [https://asciinema.org/a/NXTdW10S7kgN31i4PhtWmqK32 Watch Demo] ==
  
 
Next:
 
Next:
[[Advanced_Usage |Advanced_Usage]]
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[[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

Lmod-logo.jpeg

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