Computational aspects of the refinement of 3D complex meshes
ICCMSE '03 Proceedings of the international conference on Computational methods in sciences and engineering
Adaptive Atmospheric Modeling: Scientific Computing at Its Best
Computing in Science and Engineering
Adaptive techniques for unstructured nested meshes
Applied Numerical Mathematics - Applied scientific computing: Advances in grid generation, approximation and numerical modeling
Incremental subdivision for triangle meshes
International Journal of Computational Science and Engineering
Computational aspects of the refinement of 3D tetrahedral meshes
Journal of Computational Methods in Sciences and Engineering
Reuse of Architectural Knowledge in SPL Development
ICSR '09 Proceedings of the 11th International Conference on Software Reuse: Formal Foundations of Reuse and Domain Engineering
VECPAR'06 Proceedings of the 7th international conference on High performance computing for computational science
Multithread parallelization of Lepp-bisection algorithms
Applied Numerical Mathematics
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Computational methods based on the use of adaptively constructed nonuniform meshes reduce the amount of computation and storage necessary to perform many scientific calculations. The adaptive construction of such nonuniform meshes is an important part of these methods. In this paper, we present a parallel algorithm for adaptive mesh refinement that is suitable for implementation on distributed-memory parallel computers. Experimental results obtained on the Intel DELTA are presented to demonstrate that for scientific computations involving the finite element method, the algorithm exhibits scalable performance and has a small run time in comparison with other aspects of the scientific computations examined. It is also shown that the algorithm has a fast expected running time under the parallel random access machine (PRAM) computation model.