Article in Proceedings INPROC-2018-50

BibliographyHirschmann, Steffen; Lahnert, Michael; Schober, Carolin; Brunn, Malte; Mehl, Miriam; Pflüger, Dirk: Load-Balancing and Spatial Adaptivity for Coarse-Grained Molecular Dynamics Applications.
In: Nagel, Wolfgang E. (ed.); Kröner, Dietmar H. (ed.); Resch, Michael M. (ed.): High Performance Computing in Science and Engineering '18.
University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology.
pp. 1-510, english.
Springer International Publishing, October 2018.
ISBN: 978-3-030-13324-5; DOI: 10.1007/978-3-030-13325-2.
Article in Proceedings (Conference Paper).
CR-SchemaG.1.0 (Numerical Analysis General)
Abstract

We present our approach for a scalable implementation of coupled soft matter simulations for inhomogeneous applications based on the simulation package ESPResSo and an extended version of the adaptive grid framework p4est. Our main contribution in this paper is the development and implementation of a joint partitioning of two or more distinct octree-based grids based on the concept of a finest common tree. This concept guarantees that, on all grids, the same process is responsible for each point in space and, thus, avoids communication of data in overlapping volumes handled in different partitions. We achieve up to 85 % parallel efficiency in a weak scaling setting. Our proposed algorithms take only a small fraction of the overall runtime of grid adaption.

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Department(s)University of Stuttgart, Institute of Parallel and Distributed Systems, Simulation of Large Systems
Entry dateFebruary 6, 2019
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