Parallel Multiphysics Simulations Using OpenPALM with Application to Hydro-Biogeochemistry Coupling

Martin Wlotzka (), Vincent Heuveline (), Steffen Klatt (), David Kraus (), Edwin Haas (), Ralf Kiese (), Klaus Butterbach-Bahl (), Philipp Kraft () and Lutz Breuer ()
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Martin Wlotzka: Heidelberg University, Interdisciplinary Center for Scientific Computing (IWR)
Vincent Heuveline: Heidelberg University, Interdisciplinary Center for Scientific Computing (IWR)
Steffen Klatt: Institute of Meteorology and Climate Research (KIT IMK-IFU), Karlsruhe Institute of Technology
David Kraus: Institute of Meteorology and Climate Research (KIT IMK-IFU), Karlsruhe Institute of Technology
Edwin Haas: Institute of Meteorology and Climate Research (KIT IMK-IFU), Karlsruhe Institute of Technology
Ralf Kiese: Institute of Meteorology and Climate Research (KIT IMK-IFU), Karlsruhe Institute of Technology
Klaus Butterbach-Bahl: Institute of Meteorology and Climate Research (KIT IMK-IFU), Karlsruhe Institute of Technology
Philipp Kraft: Justus Liebig University Giessen, Institute of Landscape Ecology and Resources Management
Lutz Breuer: Justus Liebig University Giessen, Institute of Landscape Ecology and Resources Management

A chapter in Modeling, Simulation and Optimization of Complex Processes HPSC 2015, 2017, pp 277-291 from Springer

Abstract: Abstract Multiphysics systems consist of more than one component governed by its own principle for evolution or equilibrium. As an example, we consider an agricultural land use scenario comprising a hydrology model and a biogeochemistry model. We employ the OpenPALM tool to realize a coupling scheme where the models run concurrently using an individual parallelization. Although the two models demand for very different computational effort to compute one time step, we achieve a balance by allocating appropriate computational resources for each of them. We assess the parallel performance of the coupled application in a 3D scenario. Our concurrent operator splitting scheme shows superior efficiency compared to common coupling approaches.

Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-67168-0_22

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DOI: 10.1007/978-3-319-67168-0_22

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