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research article

MiMiC: A high-performance framework for multiscale molecular dynamics simulations

Antalik, Andrej  
•
Levy, Andrea  
•
Kvedaravičiūtė, Sonata
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July 14, 2024
The Journal of Chemical Physics

MiMiC is a framework for performing multiscale simulations in which loosely coupled external programs describe individual subsystems at different resolutions and levels of theory. To make it highly efficient and flexible, we adopt an interoperable approach based on a multiple-program multiple-data (MPMD) paradigm, serving as an intermediary responsible for fast data exchange and interactions between the subsystems. The main goal of MiMiC is to avoid interfering with the underlying parallelization of the external programs, including the operability on hybrid architectures (e.g., CPU/GPU), and keep their setup and execution as close as possible to the original. At the moment, MiMiC offers an efficient implementation of electrostatic embedding quantum mechanics/molecular mechanics (QM/MM) that has demonstrated unprecedented parallel scaling in simulations of large biomolecules using CPMD and GROMACS as QM and MM engines, respectively. However, as it is designed for high flexibility with general multiscale models in mind, it can be straightforwardly extended beyond QM/MM. In this article, we illustrate the software design and the features of the framework, which make it a compelling choice for multiscale simulations in the upcoming era of exascale high-performance computing.

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Type
research article
DOI
10.1063/5.0211053
Scopus ID

2-s2.0-85198445934

Author(s)
Antalik, Andrej  
•
Levy, Andrea  
•
Kvedaravičiūtė, Sonata
•
Carrasco-Busturia, David
•
Johnson, Sophia Kathryn  
•
Raghavan, Bharath
•
Das, Sambit
•
Mouvet, François  
•
Gavini, Vikram
•
Acocella, Angela
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Date Issued

2024-07-14

Published in
The Journal of Chemical Physics
Volume

161

Issue

2

Article Number

022501

Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LCBC  
Available on Infoscience
August 5, 2024
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/240574
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