2003
DOI: 10.1016/s0898-1221(03)90084-8
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Data structures and load balancing for parallel adaptive hp finite-element methods

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Cited by 29 publications
(12 citation statements)
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“…An ensemble method and three other data‐balancing methods, namely, edited nearest neighbor (ENN), Tomek and SMOTE, were used to balance the AID364 dataset (Patra, Laszloffy, & Long, ). They were executed by the unbalanced package (version 2.0) in R (version 3.3.1).…”
Section: Methodsmentioning
confidence: 99%
“…An ensemble method and three other data‐balancing methods, namely, edited nearest neighbor (ENN), Tomek and SMOTE, were used to balance the AID364 dataset (Patra, Laszloffy, & Long, ). They were executed by the unbalanced package (version 2.0) in R (version 3.3.1).…”
Section: Methodsmentioning
confidence: 99%
“…However, the mentioned methods are very time and memory consuming, which is caused by detailed material representation and iterative character of calculations in both scales. Many improvements were proposed to parallelize this computational process [14,15]. Nevertheless, all of the published approaches solve the computational problems in each scale separately and none of these methods analyses the multiscale computing as one complex approach.…”
Section: Multiscale Methods and Digital Materials Representationmentioning
confidence: 99%
“…The ÿnite element data management system AFEAPI [44][45][46] developed in our group was used in this code. AFEAPI greatly simpliÿed the task of managing adaptivity in a parallel environment.…”
Section: Methodsmentioning
confidence: 99%