LAMMPS

Description

LAMMPS , Large-scale Atomic/Molecular Massively Parallel Simulator, is a molecular dynamic simulator that models an ensemble of particles in liquid, solid, or gaseous state. It is a open source software, written in C++ and developed at Sandia laboratory. It can be used to model atomic, polymeric, biological, metallic, granular, and coarse-grained systems using various force fields and boundary conditions.

Environment Modules

Run module spider LAMMPS to find out what environment modules are available for this application. LAMMPS at HiperGator is installed in three flavors:

GNU compiler with openmpi
GNU compiler with openmpi and cuda supported
Intel compiler with openmpi
NVIDIA NGC container (https://catalog.ngc.nvidia.com/orgs/hpc/containers/lammps)

System Variables

HPC_LAMMPS_DIR - installation directory
HPC_LAMMPS_BIN - executable directory
HPC_LAMMPS_LIB - library directory

Additional Information

The GNU version of LAMMPS supports external packages PLUMED, EXTRA-MOLECULE, EXTRA-COMPUTE, MISC, ML-QUIP, INTEL and KOKKOS. The Intel version of LAMMPS only includes default packages. HPG staff's goal is to build software with widely used external packages. The users who need packages that are not in the HPG installation can make their custom installation in their local environment in consultation with the HPG staff.

To execute lammps binaries set up the appropriate environment variables and execute them with srun using the pmix level corresponding to the openmpi version used to build the binary. E.g. the command will look similar to

srun --mpi=${HPC_PMIX} $LAMMPS -sf gpu -pk gpu 2 -var x 2 -var y 7 -var z 7 < in.$job

For standard or user-customized installations the fastest way is to use cmake.

Expand this section to view instructions for standard installation.

Standard installation:

cd <install-dir>
tar xzf lammps-<version>.tar.gz
cd lammps-<version>

ml purge
ml cmake/<version> intel/<version> openmpi/<version>
ml list

mkdir build
cd build
cmake -D CMAKE_INSTALL_PREFIX=<target_lammps_dir> ../cmake
make -j8
make install

Using presets for customization - e.g. for a very rich set of packages:

cmake -D CMAKE_INSTALL_PREFIX=<target_lammps_dir> -C ../cmake/presets/all_on.cmake -C ../cmake/presets/nolib.cmake ../cmake

NGC containers downloaded and installed from NVIDIA GPU Cloud - Usage (see https://help.rc.ufl.edu/doc/Modules for instructions on how to set up personal module environment)

ml purge
ml ngc-lammps
srun  --mpi=pmix_v3 lmp <your_parameters> (see below for a sample slurm script)

Note: HPG staff can be consulted for custom installation of LAMMPS. Submit a support ticket addressed to Ajith Perera.

Job Script Examples

Expand this section to view a sample script.

#!/bin/bash
#SBATCH --job-name=<JOBNAME>
#SBATCH --mail-user=<EMAIL>
#SBATCH --mail-type=FAIL,END
#SBATCH --output <my_job-%j.out>
#SBATCH --error <my_job-%j.err>
#SBATCH --nodes=4
#SBATCH --ntasks=4
#SBATCH --cpus-per-task=1
#SBATCH --ntasks-per-socket=4
#SBATCH --ntasks-per-node=4
#SBATCH --mem-per-cpu=2gb
#SBATCH --time=01:00:00
#SBATCH --account=<GROUP>
#SBATCH --array=<BEGIN-END>
 
module load gcc/12.2.0 lammps/02Aug23
 
LAMMPS=lmp_mpi
INPUT=<input_file>
srun --mpi=pmix_v3 $LAMMPS < $INPUT > log.out 2>&1

*Disclaimer: The above slurm configuration is for demonstrative purposes only. The users must tailor it to their specific needs and the available resources.