Scaling of the GROMACS Molecular Dynamics Code to 65k CPU Cores on an HPC Cluster

We benchmarked the performance of the GROMACS 2024 molecular dynamics (MD) code on a modern high-performance computing (HPC) cluster with AMD CPUs on up to 65,536 CPU cores. We used five different MD systems, ranging in size from about 82,000 to 204 million atoms, and evaluated their performance using two different Message Passing Interface (MPI) libraries, Intel-MPI and Open-MPI. The largest system showed near-perfect strong scaling up to 512 nodes or 65,536 cores, maintaining a parallel efficiency above 0.9 even at the highest level of parallelization. Energy efficiency for a given number of nodes was generally equal to or slightly better than parallel efficiency. We achieved peak performances of 687 ns/d for the 82k atom system, 116 ns/d for the 53M atom system, and about 35 ns/d for the largest 204M atom system. These results demonstrate that highly optimized software running on a state-of-the-art HPC cluster provides sufficient computing power to simulate biomolecular systems at the mesoscale of viruses and organelles, and potentially small cells in the near future.

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Publication Details

Journal
Journal of Computational Chemistry
Published
2025-02-13
DOI
https://doi.org/10.1002/jcc.70059
Citations
8
Primary Topic
Plant Virus Research Studies
Type
article
Field-Weighted Citation Impact
14.00

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article

Scaling of the GROMACS Molecular Dynamics Code to 65k CPU Cores on an HPC Cluster

Carsten Kutzner, Karen Rodríguez, Bert L. de Groot, Helmut Grubmüller et al.
8 citations
Journal of Computational Chemistry
Plant Virus Research Studies
14.00
article

Scaling of the GROMACS Molecular Dynamics Code to 65k CPU Cores on an HPC Cluster

Carsten Kutzner, Karen Rodríguez, Bert L. de Groot, Helmut Grubmüller, Vedran Miletić, Gerhard Hummer, Markus Rampp
article en
8 citations

Abstract

We benchmarked the performance of the GROMACS 2024 molecular dynamics (MD) code on a modern high-performance computing (HPC) cluster with AMD CPUs on up to 65,536 CPU cores. We used five different MD systems, ranging in size from about 82,000 to 204 million atoms, and evaluated their performance using two different Message Passing Interface (MPI) libraries, Intel-MPI and Open-MPI. The largest system showed near-perfect strong scaling up to 512 nodes or 65,536 cores, maintaining a parallel efficiency above 0.9 even at the highest level of parallelization. Energy efficiency for a given number of nodes was generally equal to or slightly better than parallel efficiency. We achieved peak performances of 687 ns/d for the 82k atom system, 116 ns/d for the 53M atom system, and about 35 ns/d for the largest 204M atom system. These results demonstrate that highly optimized software running on a state-of-the-art HPC cluster provides sufficient computing power to simulate biomolecular systems at the mesoscale of viruses and organelles, and potentially small cells in the near future.

Journal of Computational ChemistryVol. 46(5)
Max Planck Institute of Biophysics (DE), Max Planck Computing and Data Facility (DE)
European Commission, Bundesministerium für Bildung und Forschung, Max-Planck-Gesellschaft
Affordable and clean energy
Openalex Percentile: Top 1%
Plant Virus Research Studies
14.00
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Scaling of the GROMACS Molecular Dynamics Code to 65k CPU Cores on an HPC Cluster — Carsten Kutzner, Karen Rodríguez, et al. · Journal of Computational Chemistry (2025) | TGRS Research Map | TGRS