IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-031-91312-9_35.html

Extensions to the MaMiCo Software Stack for Flexible, Massively Parallel Molecular-Continuum Flow Simulation

In: High Performance Computing in Science and Engineering '23

Author

Listed:
  • Louis Viot

    (Helmut Schmidt University, Chair for High Performance Computing)

  • Amartya Das Sharma

    (Helmut Schmidt University, Chair for High Performance Computing)

  • Philipp Neumann

    (Helmut Schmidt University, Chair for High Performance Computing)

Abstract

Molecular-continuum flow simulations apply computationally intensive molecular dynamics (MD) simulations in localized regions of a geometry under consideration, and classical, computationally cheaper computational fluid dynamics (CFD) solvers are employed for the remainder of the vast computational domain. The macro-micro coupling tool MaMiCo handles the coupling between a MD solver and a CFD solver. It is highly parallelized and provides interfaces to couple various MD and CFD solvers. In this report, we describe, test and evaluate the performance of new couplings to the MaMiCo framework. On the MD side, we present new developments for the coupling between the MD solver ls1 mardyn and MaMiCo allowing to use an ensemble of ls1 mardyn instances distributed on different MPI ranks for averaging of MD data. On the CFD side, we introduce a new coupling between MaMiCo and the preCICE library allowing to use different time coupling schemes and data interpolation functionalities of preCICE within MaMiCo as well as many CFD solvers already coupled with preCICE.

Suggested Citation

  • Louis Viot & Amartya Das Sharma & Philipp Neumann, 2026. "Extensions to the MaMiCo Software Stack for Flexible, Massively Parallel Molecular-Continuum Flow Simulation," Springer Books, in: Thomas Ludwig & Peter Bastian & Michael M. Resch (ed.), High Performance Computing in Science and Engineering '23, pages 523-532, Springer.
  • Handle: RePEc:spr:sprchp:978-3-031-91312-9_35
    DOI: 10.1007/978-3-031-91312-9_35
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:sprchp:978-3-031-91312-9_35. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.