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dc.contributor.authorAlessio De, Rango-
dc.contributor.authorAndrea, Giordano-
dc.contributor.authorGiuseppe, Mendicino-
dc.date.accessioned2023-04-25T06:36:44Z-
dc.date.available2023-04-25T06:36:44Z-
dc.date.issued2023-
dc.identifier.urihttps://link.springer.com/article/10.1007/s11227-023-05043-3-
dc.identifier.urihttps://dlib.phenikaa-uni.edu.vn/handle/PNK/8277-
dc.descriptionCC BYvi
dc.description.abstractIn this paper, techniques for dynamic load balancing of the cellular automata parallel execution are presented for the case of domain space partitioned along two dimensions. Starting from general closed-form expressions that allow to compute the optimal workload assignment in a dynamic fashion when partitioning takes place along only one dimension, we tailor the procedure to allow partitioning and balancing along both dimensions. Both qualitative and quantitative experiments are carried out that assess performance improvement in applying load balancing for the case of two-dimensional partitioned domain, especially when the load balancing takes place along both dimensions.vi
dc.language.isoenvi
dc.publisherSpringervi
dc.subjectTailoring load balancingvi
dc.titleTailoring load balancing of cellular automata parallel execution to the case of a two-dimensional partitioned domainvi
dc.typeBookvi
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