A highly efficient 3D level-set grain growth algorithm tailored for ccNUMA architecture

A highly efficient simulation model for 2D and 3D grain growth was developed based on the level-set method. The model introduces modern computational concepts to achieve excellent performance on parallel computer architectures. Strong scalability was measured on cache-coherent non-uniform memory acc...

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Published in:Modelling and simulation in materials science and engineering 2017-12, Vol.25 (8), p.84002
Main Authors: Mießen, C, Velinov, N, Gottstein, G, Barrales-Mora, L A
Format: Article
Language:English
Subjects:
Engineering Sciences
grain growth
large-scale simulation
level-set
magnetically driven grain boundary motion
Materials
parallelization
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cited_by cdi_FETCH-LOGICAL-c394t-9465d5873d66deeeec830a78b7bb3b08a48ed8a37c55ed8502a9ecc1fc7e618c3
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container_title Modelling and simulation in materials science and engineering
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creator Mießen, C
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description A highly efficient simulation model for 2D and 3D grain growth was developed based on the level-set method. The model introduces modern computational concepts to achieve excellent performance on parallel computer architectures. Strong scalability was measured on cache-coherent non-uniform memory access (ccNUMA) architectures. To achieve this, the proposed approach considers the application of local level-set functions at the grain level. Ideal and non-ideal grain growth was simulated in 3D with the objective to study the evolution of statistical representative volume elements in polycrystals. In addition, microstructure evolution in an anisotropic magnetic material affected by an external magnetic field was simulated.
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subjects Engineering Sciences
grain growth
large-scale simulation
level-set
magnetically driven grain boundary motion
Materials
parallelization
title A highly efficient 3D level-set grain growth algorithm tailored for ccNUMA architecture
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