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Auszug

a versatile package to perform molecular dynamics for systems with hundreds to millions of particles.


Inhalt

Description

GROMACS is primarily designed for biochemical molecules like proteins, lipids and nucleic acids that have a lot of complicated bonded interactions, but since GROMACS is extremely fast at calculating the nonbonded interactions (that usually dominate simulations) many groups are also using it for research on non-biological systems, e.g. polymers and fluid dynamics.

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  • GROMACS provides extremely high performance compared to all other programs.
  • GROMACS can make simultaneous use of both CPU and GPU available in a system. There are options to statically and dynamically balance the load between the different resources.
  • GROMACS is user-friendly, with topologies and parameter files written in clear text format.
  • Both run input files and trajectories are independent of hardware endian-ness, and can thus be read by any version GROMACS.
  • GROMACS comes with a large selection of flexible tools for trajectory analysis.
  • GROMACS can be run in parallel, using the standard MPI communication protocol.
  • GROMACS contains several state-of-the-art algorithms.
  • GROMACS is Free Software, available under the GNU Lesser General Public License (LGPL).

Weaknesses

  • GROMACS does not do to much further analysis to get very high simulation speed.
  • Sometimes it is challenging to get non-standard information about the simulated system.
  • Different versions sometimes have differences in default parameters/methods. Reproducing older version simulations with a newer version can be difficult.
  • Additional tools and utilities provided by GROMACS are sometimes not the top quality.

GPU support

GROMACS automatically use uses any available GPUs.  To To achieve the best performance GROMACS uses both GPUs and CPUs in a reasonable balance.

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The following versions have been installed:

VersionInstallation Pathmodulefilecompilercomment
Modules for running on CPUs 
2018.4/sw/chem/gromacs/2018.4/skl/impigromacs/2018.4intelmpi
2018.4/sw/chem/gromacs/2018.4/skl/impi-plumedgromacs/2018.4-plumedintelmpiwith plumed
2019.6/sw/chem/gromacs/2019.6/skl/impigromacs/2019.6intelmpi
2019.6/sw/chem/gromacs/2019.6/skl/impi-plumedgromacs/2019.6-plumedintelmpiwith plumed
2021.2/sw/chem/gromacs/2021.2/skl/impigromacs/2021.2intelmpi
2021.2/sw/chem/gromacs/2021.2/skl/impi-plumedgromacs/2021.2-plumedintelmpi

with plumed

2022.5/sw/chem/gromacs/2022.5/skl/impigromacs/2022.5intelmpi
2022.5/sw/chem/gromacs/2022.5/skl/impi-plumedgromacs/2022.5-plumedintelmpi

with plumed

Modules for running on GPUs

2022.5/sw/chem/gromacs/2022.5/a100/impigromacs/2022.5gccwith plumed
2023.0/sw/chem/gromacs/2023.0/a100/tmpi_gccgromacs/2023.0_tmpi 


2024.0/sw/chem/gromacs/2024.0/a100/tmpigromacs/2024.0_tmpi 

*Release notes can be find found here


These modules can be loaded by using a module load command. Note that Intel MPI module file should be loaded first:

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Codeblock
languagebash
linenumberstrue
#!/bin/bash 
#SBATCH --time=12:00:00
#SBATCH --partition=gpu-a100
#SBATCH --ntasks=72

export SLURM_CPU_BIND=none

module load gcc/11.3.0 intel/2023.0.0 cuda/11.8
module load gromacs/2023.0_tmpi

export GMX_GPU_DD_COMMS=true
export GMX_GPU_PME_PP_COMMS=true

OMP_NUM_THREADS=9

gmx mdrun -ntomp 9 -ntmpi 4 -nb gpu -pme gpu -npme 1 -gputasks 0001 OTHER MDRUNARGUMENTS

If you are using MPI versions (non-thread-MPI, or eg., to take advantage of PLUMED) GPU-accelerated GROMACS, you can proceed in a similar fashion, but instead use the mpirun task launcher before the GROMACS binary. An example job script asking for 2 A100 GPUs across 2 nodes is shown below: 

Codeblock
languagebash
linenumberstrue
#!/bin/bash 
#SBATCH --time=12:00:00
#SBATCH --partition=gpu-a100
#SBATCH --nodes=2
#SBATCH --ntasks-per-node=72

export SLURM_CPU_BIND=none

module load gcc/11.3.0 cuda/11.8 impi/2021.11
module load gromacs/2022.5

export GMX_GPU_DD_COMMS=true
export GMX_GPU_PME_PP_COMMS=true
export GMX_ENABLE_DIRECT_GPU_COMM=true

OMP_NUM_THREADS=9

mpirun -np 4 -ppn 2 gmx_mpi mdrun -ntomp 9 -ntmpi 4 -nb gpu -pme gpu -npme 1 -gpu_id 01 OTHER MDRUNARGUMENTS

Whole node GPU job script

...

Codeblock
languagebash
linenumberstrue
#!/bin/bash 
#SBATCH --time=12:00:00
#SBATCH --partition=gpu-a100
#SBATCH --ntasks=72

export SLURM_CPU_BIND=none

module load gcc/11.3.0 intel/2023.0.0 cuda/11.8
module load gromacs/2023.0_tmpi

export GMX_GPU_DD_COMMS=true
export GMX_GPU_PME_PP_COMMS=true

OMP_NUM_THREADS=9

gmx mdrun -ntomp 9 -ntmpi 16 -gputasks 0000111122223333 MDRUNARGUMENTS

Note: Settings of the Thread-MPI ranks and OpenMP threads is for achieve optimal performance. The number of ranks should be a multiple of the number of sockets, and the number of cores per node should be a multiple of the number of threads per rank.

Related Modules

Gromacs-Plumed

PLUMED is an open-source, community-developed library that provides a wide range of different methods, such as enhanced-sampling algorithms, free-energy methods and tools to analyze the vast amounts of data produced by molecular dynamics (MD) simulations. PLUMED works together with some of the most popular MD engines.

Gromacs/20XX.X-plumed modules are versions have been patched with PLUMED's modifications, and these versions are able to run meta-dynamics simulations.

Analyzing results

GROMACS Tools

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More information about performance of the simulations and "how to imporve perfomance" can be find here

Special Performance Instructions for Emmy at GWDG

Turbo-boost has been mostly disabled on Emmy at GWDG (partitions medium40, large40, standard96large96, and huge96) in order to save energy. However, this has a particularly strong performance impact on GROMACS in the range of 20-40%. Therefore, we recommend that GROMACS jobs be submitted requesting turbo-boost to be enabled with the --constraint=turbo_on option given to srun or sbatch.


Useful links

References

  1. GROMACS User-Guide
  2. PLUMED Home