Evidence map›Paper›PMID 41734229›Full record

ArticleThe journal of physical chemistry. B2026

Making PLUMED Fly: A Tutorial on Optimizing Performance.

Daniele Rapetti, Massimiliano Bonomi, Carlo Camilloni, Giovanni Bussi, Gareth A Tribello

Abstract read
In one paragraph

Article in The journal of physical chemistry. B, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Daniele RapettiScuola Internazionale Superiore di Studi Avanzati (SISSA), Via Bonomea 265, Trieste 34136, Italy.ORCID 0000-0002-7193-5220
Massimiliano BonomiInstitut Pasteur, Université Paris Cité, CNRS UMR3528, Computational Structural Biology Unit, Paris, France, https://research.pasteur.fr/en/.ORCID 0000-0002-7321-0004
Carlo CamilloniDepartment of Biosciences, University of Milano, Milano 20133, Italy.ORCID 0000-0002-9923-8590
Giovanni BussiScuola Internazionale Superiore di Studi Avanzati (SISSA), Via Bonomea 265, Trieste 34136, Italy.ORCID 0000-0001-9216-5782
Gareth A TribelloCentre for Quantum Materials and Technologies, School of Mathematics and Physics, Queen's University Belfast, Belfast BT7 1NN, U.K.ORCID 0000-0002-4763-9317

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PLUMED is an open-source software package that is widely used for analyzing and enhancing molecular dynamics simulations that works in conjunction with most available molecular dynamics softwares. While the computational cost of PLUMED calculations is typically negligible compared to the molecular dynamics code's force evaluation, the software is increasingly being employed to determine complex descriptors that are more computationally demanding. For these applications performance optimization becomes critical. In this tutorial, we describe a recently implemented tool that can be used to reliably measure code performance. We then use this tool to generate detailed performance benchmarks that show how calculations of large-numbers of distances, angles or torsions can be optimized by using vector-based commands rather than individual scalar operations. We then present benchmarks that illustrate how to optimize calculations of atomic order parameters and secondary structure variables. Throughout the tutorial and in our implementations we endeavor to explain the algorithmic tricks that are being used to optimize the calculations. We hope this allows others to understand these prescriptions and deploy them in their own calculations.

Identifiers

PMID41734229
PMCPMC12969273

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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.