LPCT Cluster

Platforms

The cluster provides two distinct software environments:

Important Compatibility Notes:

    Login nodes use RHEL 8 - to run on CentOS 7 partitions (labo1/labo1-v2/m20-[1,2]/kech1/lia3) :

  • compile your code directly on those nodes
  • Include this line in your Slurm script to load environment modules in your Slurm jobs 
    source /etc/profile.d/z00_lmod.sh

Modules

The cluster uses Lmod (Environment Modules) to manage software versions. Key commands:

Command Description
module avail List all available software packages
module list Show currently loaded modules
module load <package> Load a specific software package
module unload <package> Remove a package from your environment
module purge Unload all currently loaded modules
module spider <keyword> Search for packages by name/description
module show <package> Display details about a specific package

Important Usage Notes:

  • Avoid mixing Python modules with Conda: Do not load Python modules inside active Conda environments, as this may cause conflicts.
  • Conda in .bashrc: Avoid automatically loading Conda in your .bashrc file, as this can interfere with module functionality. Instead, activate Conda environments manually when needed.

Module Naming Convention

Scientific software modules follow a standardized naming scheme that encodes build information:

  • Compiler Version: Always included (e.g., gnu14.2.0)
    • avx indicate compilation with AVX support
  • GPU Support:
    • If cuda appears in the name, the software is GPU-accelerated
    • smXX indicates specific GPU compute capability
  • Multi-node Computing:
    • openmpi = Supports multi-node calculations via TCP/IP
    • openmpi+psm2 = Adds Omni-Path driver support (Network details)
    • openmpi+ucx = Adds Mellanox InfiniBand support (Network details)

Virtual Environment

To create the virtual environment 
$ python -m venv myenv
To activate the environment 
$ source myenv/bin/activate

Your prompt should change to show the active environment.

To install Python packages

With the environment active, install packages using pip:

$ pip install numpy pandas matplotlip
Deactivate with : 
$ deactivate
If you want to save your environment 
$ pip freeze > requirements.txt