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MiMiC: A high-performance framework for multiscale molecular dynamics simulations.
Antalík, Andrej; Levy, Andrea; Kvedaraviciute, Sonata; Johnson, Sophia K; Carrasco-Busturia, David; Raghavan, Bharath; Mouvet, François; Acocella, Angela; Das, Sambit; Gavini, Vikram; Mandelli, Davide; Ippoliti, Emiliano; Meloni, Simone; Carloni, Paolo; Rothlisberger, Ursula; Olsen, Jógvan Magnus Haugaard.
Afiliação
  • Antalík A; Laboratory of Computational Chemistry and Biochemistry, École Polytechnique Fédérale de Lausanne, CH-1015 Lausanne, Switzerland.
  • Levy A; Laboratory of Computational Chemistry and Biochemistry, École Polytechnique Fédérale de Lausanne, CH-1015 Lausanne, Switzerland.
  • Kvedaraviciute S; DTU Chemistry, Technical University of Denmark (DTU), DK-2800 Kongens Lyngby, Denmark.
  • Johnson SK; Laboratory of Computational Chemistry and Biochemistry, École Polytechnique Fédérale de Lausanne, CH-1015 Lausanne, Switzerland.
  • Carrasco-Busturia D; DTU Chemistry, Technical University of Denmark (DTU), DK-2800 Kongens Lyngby, Denmark.
  • Raghavan B; Computational Biomedicine, Institute of Advanced Simulations IAS-5/Institute for Neuroscience and Medicine INM-9, Forschungszentrum Jülich GmbH, Jülich 52428, Germany.
  • Mouvet F; Department of Physics, RWTH Aachen University, Aachen 52074, Germany.
  • Acocella A; Laboratory of Computational Chemistry and Biochemistry, École Polytechnique Fédérale de Lausanne, CH-1015 Lausanne, Switzerland.
  • Das S; CINECA, 40033 Casalecchio di Reno, BO, Italy.
  • Gavini V; Department of Mechanical Engineering, University of Michigan, Ann Arbor, Michigan 48109, USA.
  • Mandelli D; Department of Mechanical Engineering, University of Michigan, Ann Arbor, Michigan 48109, USA.
  • Ippoliti E; Department of Materials Science and Engineering, University of Michigan, Ann Arbor, Michigan 48109, USA.
  • Meloni S; Computational Biomedicine, Institute of Advanced Simulations IAS-5/Institute for Neuroscience and Medicine INM-9, Forschungszentrum Jülich GmbH, Jülich 52428, Germany.
  • Carloni P; Computational Biomedicine, Institute of Advanced Simulations IAS-5/Institute for Neuroscience and Medicine INM-9, Forschungszentrum Jülich GmbH, Jülich 52428, Germany.
  • Rothlisberger U; Dipartimento di Scienze Chimiche, Farmaceutiche ed Agrarie (DOCPAS), Università degli Studi di Ferrara (Unife), I-44121 Ferrara, Italy.
  • Olsen JMH; Computational Biomedicine, Institute of Advanced Simulations IAS-5/Institute for Neuroscience and Medicine INM-9, Forschungszentrum Jülich GmbH, Jülich 52428, Germany.
J Chem Phys ; 161(2)2024 Jul 14.
Article em En | MEDLINE | ID: mdl-38990116
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.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article