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

Andrej Antalík, Andrea Levy, Sonata Kvedaravičiūtė, Sophia K. Johnson, David Carrasco-Busturia, Bharath Raghavan, François Mouvet, Angela Acocella, Sambit Das, Vikram Gavini, Davide Mandelli, Emiliano Ippoliti, Simone Meloni, Paolo Carloni, Ursula Rothlisberger, Jógvan Magnus Haugaard Olsen*

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

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Abstract

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.

Original languageEnglish
Article number022501
JournalJournal of Chemical Physics
Volume161
Issue number2
Number of pages21
ISSN0021-9606
DOIs
Publication statusPublished - 2024

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