A parallel version of the cellular automata static recrystallization model dedicated for high performance computing platforms – Development and verification
Version 2 2024-06-06, 08:47Version 2 2024-06-06, 08:47
Version 1 2019-09-25, 08:10Version 1 2019-09-25, 08:10
journal contribution
posted on 2024-06-06, 08:47 authored by M Sitko, Q Chao, J Wang, K Perzynski, K Muszka, L Madej© 2019 Elsevier B.V. Development and verification of a parallel version of the micro-scale cellular automata (CA) static recrystallization (SRX) model is the main goal of the present research. Firstly, a framework of sequential CA-SRX model is presented. Then, crucial modifications are developed and introduced to the model to handle parallel execution. A particular attention is focused on the development of computational domain decomposition schemes and information gathering modules from the CA subdomains. The computational capabilities of the developed model are evaluated with the classical parallelization indicators, i.e., computational speedup and efficiency. Finally, the results from a parallel version of the CA-SRX code are validated against results from the sequential approach, to prove that the new model does not introduce any unphysical artefact.
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Journal
Computational Materials ScienceVolume
172Article number
ARTN 109283Pagination
1 - 13Location
Amsterdam, The NetherlandsISSN
0927-0256eISSN
1879-0801Language
EnglishPublication classification
C1 Refereed article in a scholarly journalPublisher
ELSEVIERUsage metrics
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Keywords
Science & TechnologyTechnologyMaterials Science, MultidisciplinaryMaterials ScienceParallelizationMPI standardCellular automataStatic recrystallizationFe30Ni alloyDYNAMIC RECRYSTALLIZATIONPHASE-TRANSFORMATIONSIMULATIONDEFORMATIONEVOLUTIONKINETICSTEXTUREALLOYSSTEEL5104 Condensed matter physics4016 Materials engineering
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