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Distributed evolutionary multi-objective mesh-partitioning algorithm for parallel finite element computations

机译:并行有限元计算的分布式进化多目标网格划分算法

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Majority of the mesh-partitioning algorithms attempt to optimise the interprocessor communications, while balancing the computational load among the processors. However, it is desirable to simultaneously optimise the submesh aspect ratios in order to significantly improve the convergence characteristics of the domain decomposition based Preconditioned-conjugate-gradient algorithms, being used extensively in the state-of-the-art parallel finite element codes. Keeping this in view, a new distributed multi-objective mesh-partitioning algorithm using evolutionary computing techniques is proposed in this paper. Effectiveness of the proposed distributed mesh-partitioning algorithm is demonstrated by solving several unstructured meshes of practical-engineering problems and also benchmark problems.
机译:大多数网格划分算法试图优化处理器间通信,同时平衡处理器之间的计算负荷。然而,期望同时优化子网格长宽比,以显着改善基于域分解的预条件共轭梯度算法的收敛特性,该算法广泛用于现有技术的并行有限元代码中。考虑到这一点,本文提出了一种新的使用进化计算技术的分布式多目标网格划分算法。通过解决实际工程问题以及基准问题中的几个非结构化网格,证明了所提出的分布式网格划分算法的有效性。

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