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A key based parallel adaptive refinement technique for finite element methods

机译:基于键的有限元并行自适应细化技术

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Many computatonal problems such as finite element analysis and computational fluid dynamics are solved by discretising the geometry of the problem into a mesh. Such problems may become very large. Splitting a geometry-based problem into small pieces and computing the solutio all at once (parallel programming) should result in a much faster turnaround. Unfortunately these problems are not particularly conducive to such fine-grain parallelism since the solutions have many interdependencies, which means that there will be a great deal of inter-processor communication which slows computation. However, coarse-grain parallelism can be used efficiently so long as each processor holds a large enough continuous piece of the mesh, and each processor sends and receives updates on the boundaries to and from its neighbours. To improve the accuracy of many such problems adaptive refinement may be used to refine those parts of he mesh in which the accuracy is deficient.
机译:通过将问题的几何形状离散到网格中,可以解决许多计算问题,例如有限元分析和计算流体动力学。这样的问题可能变得非常大。将基于几何的问题分解成小块,并一次计算解决方案(并行编程),应该可以更快地解决问题。不幸的是,由于这些解决方案具有许多相互依赖性,因此这些问题并不特别有利于这种细粒度的并行性,这意味着将存在大量的处理器间通信,这会减慢计算速度。但是,只要每个处理器都拥有足够大的连续网格块,并且每个处理器在与邻居之间的边界上发送和接收更新,就可以有效地使用粗粒度并行性。为了提高许多此类问题的准确性,可以使用自适应细化来细化网格中精度不足的那些部分。

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