Liu, Hui; Leng, Wei; Cui, Tao Study of dynamic load balancing methods for parallel adaptive finite element computation. (Chinese. English summary) Zbl 1349.65628 J. Numer. Methods Comput. Appl. 36, No. 3, 166-184 (2015). Summary: For the parallel computation of partial differential equations, one key is the grid partitioning. It requires that each process owns the same amount of computations, and also, the partitioning quality should be proper to reduce the communications among processes. When calculating the partial differential equations using adaptive finite element methods, the grid and the basis functions adjust in each iteration, which introduce load balancing issues. The grid should be redistributed dynamically. This paper studies dynamic load balancing algorithms and the implementation on the adaptive finite element platform PHG. The numerical experiments show that the algorithms studied in this paper have good partitioning quality, and they are efficient. MSC: 65N30 Finite element, Rayleigh-Ritz and Galerkin methods for boundary value problems involving PDEs 65N50 Mesh generation, refinement, and adaptive methods for boundary value problems involving PDEs 65Y05 Parallel numerical computation 65Y15 Packaged methods for numerical algorithms 35J25 Boundary value problems for second-order elliptic equations Keywords:adaptive finite element methods; parallel computing; dynamic load balancing; space-filling curve method; refinement tree method; algorithms; numerical experiments PDFBibTeX XMLCite \textit{H. Liu} et al., J. Numer. Methods Comput. Appl. 36, No. 3, 166--184 (2015; Zbl 1349.65628) Full Text: arXiv