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Asynchronous substructuring method with alternating local and global iterations

机译:具有交替本地和全局迭代的异步子结构方法

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Until now, almost all investigations of asynchronous iterations within domain decomposition frameworks targeted methods of the parallel Schwarz type. A first, and sole, attempt to deal with a primal substructuring framework resulted in an asynchronous substructuring method where relaxation occurs simultaneously on the subdomains and on the interface between them, which therefore corresponds to a substructured relaxation scheme defined on the whole global domain. In this paper, we propose a Gauss?Seidel kind of improvement consisting of alternating between relaxation on the interface and relaxation on the subdomains, hence, always using the latest solutions in the subdomains when updating the solution on the interface, which is feasible at no additional cost. It turns out that one particular case of our general alternating relaxation scheme corresponds to an asynchronous substructuring method with iterations fully defined on the subdomains? interface, and where only local Schur complements are involved. Practical performance evaluation on both standard Poisson?s and linear elasticity problems has been conducted using a multi-node parallel computational platform with up to 720 CPU cores.
机译:到目前为止,几乎所有关于区域分解框架内异步迭代的研究都针对并行Schwarz类型的方法。第一次也是唯一一次尝试处理原始子结构框架导致了一种异步子结构方法,其中松弛同时发生在子域和它们之间的界面上,因此对应于在整个全局域上定义的子结构松弛方案。在本文中,我们提出了高斯?Seidel是一种改进,包括在界面上的松弛和子域上的松弛之间交替进行,因此,在更新界面上的解时,总是使用子域中的最新解,这是可行的,无需额外成本。结果证明,我们的一般交替松弛方案的一个特殊情况对应于一个异步子结构方法,迭代完全定义在子域上?接口,并且只涉及本地Schur补充。标准泊松分布的实际性能评估?s和线弹性问题已使用多节点并行计算平台进行,该平台具有多达720个CPU核。

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