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A scalable and modular Material Point Method for large-scale simulations

Authors: Soundararajan, Krishna; Salmond, Jeffrey; Kularathna, Shyamini; Wilkes, Christopher; Tjung, Ezra; Biscontin, Giovanna; Soga, Kenichi;

A scalable and modular Material Point Method for large-scale simulations

Abstract

In this paper, we describe a new scalable and modular material point method (MPM) code developed for solving large-scale problems in continuum mechanics. The MPM is a hybrid Eulerian-Lagrangian approach, which uses both moving material points and computational nodes on a background mesh. The MPM has been successfully applied to solve large-deformation problems such as landslides, failure of slopes, concrete flows, etc. Solving these large-deformation problems result in the material points actively moving through the mesh. Developing an efficient parallelisation scheme for the MPM code requires dynamic load-balancing techniques for both the material points and the background mesh. This paper describes the data structures and algorithms employed to improve the performance and portability of the MPM code.

Country
United Kingdom
Keywords

FOS: Computer and information sciences, cs.DC, bepress|Engineering, MPM, FOS: Physical sciences, physics.geo-ph, Geophysics (physics.geo-ph), Physics - Geophysics, engrXiv|Engineering, Computer Science - Distributed, Parallel, and Cluster Computing, 46 Information and Computing Sciences, bepress|Engineering|Civil and Environmental Engineering, engrXiv|Engineering|Civil and Environmental Engineering|Geotechnical Engineering, engrXiv|Engineering|Civil and Environmental Engineering, Material Point Method, Distributed, Parallel, and Cluster Computing (cs.DC), 4601 Applied Computing, bepress|Engineering|Civil and Environmental Engineering|Geotechnical Engineering, 40 Engineering

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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