Peeking into the black box of GROMACS performance

Molecular dynamics simulations are computationally intensive, making the efficient use of hardware crucial. In this webinar, we will explore the practical strategies for maximizing GROMACS simulation speed. By demonstrating how to interpret mdrun logs, we will “open the black box” of MD performance so that users can understand what is happening inside GROMACS during a simulation. We will discuss how system setup and properties influence performance, how these factors interact with hardware and software stacks, and how it all can be understood from GROMACS log files. Attendees will learn best practices for configuration and parallelization to ensure their simulations run as efficiently as possible. Additionally, we will also introduce a new benchmark suite for GROMACS, designed to provide a standardized framework for assessing performance across a variety of systems.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-03-17
DOI
https://doi.org/10.5281/zenodo.18903683
Primary Topic
Software System Performance and Reliability
Type
article
Field-Weighted Citation Impact
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article

Peeking into the black box of GROMACS performance

Szilárd Páll, Andrey Alekseenko
Zenodo (CERN European Organization for Nuclear Research)
Software System Performance and Reliability
article

Peeking into the black box of GROMACS performance

Szilárd Páll, Andrey Alekseenko
article en

Abstract

Molecular dynamics simulations are computationally intensive, making the efficient use of hardware crucial. In this webinar, we will explore the practical strategies for maximizing GROMACS simulation speed. By demonstrating how to interpret mdrun logs, we will “open the black box” of MD performance so that users can understand what is happening inside GROMACS during a simulation. We will discuss how system setup and properties influence performance, how these factors interact with hardware and software stacks, and how it all can be understood from GROMACS log files. Attendees will learn best practices for configuration and parallelization to ensure their simulations run as efficiently as possible. Additionally, we will also introduce a new benchmark suite for GROMACS, designed to provide a standardized framework for assessing performance across a variety of systems.

Zenodo (CERN European Organization for Nuclear Research)
KTH Royal Institute of Technology (SE)
Openalex Percentile: Top 21%
Software System Performance and Reliability
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