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A domain partitioning method using a multi-phase-field model for block-based AMR applications

机译:一种基于块的AMR应用程序的多相场模型的域分区方法

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In distributed implementations of memory-bound stencil AMR applications, the inter-node communication time often represents a major performance bottleneck. Thus minimizing communication is an objective as important as maintaining a good load balance. We propose a new domain partitioning method for block-based AMR applications based on the multi-phase-field (MPF) model. The MPF model for polycrystalline growth minimizes the interfacial energy and forms a convex shape for each crystal grain. In our method, each phase of the MPF model represents a computational sub-domain of each MPI process. We apply the proposed partitioning method to a block-based AMR application for an interface capturing on multiple GPUs. We measured the strong scalability up to 256 GPUs on the TSUBAME3.0 supercomputer at Tokyo Institute of Technology. The proposed MPF partitioning can successfully improve the strong scalability and reduce the communication cost of a block-based stencil AMR application. (c) 2020 Elsevier B.V. All rights reserved.
机译:在内存绑定模板AMR应用的分布式实现中,节点间通信时间通常代表一个主要的性能瓶颈。因此,最小化通信是一种与保持良好负载平衡一样重要的目标。我们为基于多相场(MPF)模型的基于块的AMR应用程序提出了一种新的域分区方法。用于多晶生长的MPF模型使界面能量最小化并形成每个晶粒的凸形。在我们的方法中,MPF模型的每个阶段表示每个MPI进程的计算子域。我们将建议的分区方法应用于基于块的AMR应用程序,以便在多个GPU上捕获接口。我们在东京工业大学机构3.0超级计算机上衡量了强大的可扩展性高达256个GPU。所提出的MPF分区可以成功提高强的可伸缩性,并降低基于块的模板AMR应用的通信成本。 (c)2020 Elsevier B.v.保留所有权利。

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