Evidence map›Paper›PMID 39945385›Full record

ArticleJournal of computational chemistry2025

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

Carsten Kutzner, Vedran Miletić, Karen Palacio Rodríguez, Markus Rampp, Gerhard Hummer, Bert L de Groot, Helmut Grubmüller

Abstract read
In one paragraph

Article in Journal of computational chemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Coarse-Grained Martini 3 Model of Chondroitin Sulfate A.Journal of chemical theory and computation · 2026
    Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Carsten KutznerTheoretical and Computational Biophysics, Max Planck Institute for Multidisciplinary Sciences, Göttingen, Germany.
Vedran MiletićMax Planck Computing and Data Facility, Garching, Germany.
Karen Palacio RodríguezMax Planck Institute of Biophysics, Frankfurt am Main, Germany.
Markus RamppMax Planck Computing and Data Facility, Garching, Germany.
Gerhard HummerMax Planck Institute of Biophysics, Frankfurt am Main, Germany.
Bert L de GrootTheoretical and Computational Biophysics, Max Planck Institute for Multidisciplinary Sciences, Göttingen, Germany.
Helmut GrubmüllerTheoretical and Computational Biophysics, Max Planck Institute for Multidisciplinary Sciences, Göttingen, Germany.

Funding

Bundesministerium für Bildung und Forschung 16ME0713European Commission HORIZON-EUROHPC-JU-2021-COE-01-02
6 · The paper itself

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.

Indexed as

benchmarkGROMACShigh performance computingmolecular dynamicsMPI

Identifiers

PMID39945385
PMCPMC11822873

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.