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A Robust and Scalable Library for Parallel Adaptive Mesh Refinement on Unstructured Meshes

机译:一个强大而可伸缩的库,用于非结构化网格上的并行自适应网格细化

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The design and implementation of a software library for parallel adaptive mesh refinement in unstructured computations on multiprocessor systems are described. This software tool can be used in parallel finite element or parallel finite volume applications on triangular and tetrahe-dral meshes. It contains a suite of well-designed and efficiently implemented modules that perform operations in a typical P-AMR process. This includes mesh quality control during successive parallel adaptive mesh refinement, typically guided by a local-error estimator, and parallel load-balancing. Our P-AMR tool is implemented in Fortran 90 with a Message-Passing Interface (MPI) library, supporting code efficiency, modularity and portability. The AMR schemes, Fortran 90 data structures, and our parallel implementation strategies are discussed in the paper. Test results of our software, as applied to a few selected engineering finite element applications, will be demonstrated. Performance results of our code on Cray T3E, HP/Convex Exemplar systems, and on a PC cluster (a Beowulf-class system) will also be reported.
机译:描述了对多处理器系统上的非结构体计算中的并行自适应网格细化的软件库的设计和实现。该软件工具可用于三角形和四射线网格上的并行有限元或并行有限音量应用。它包含一套精心设计和有效实现的模块,在典型的P-AMR过程中执行操作。这包括在连续并行自适应网格细化过程中的网格质量控制,通常由局部误差估计器和并行负载平衡引导。我们的P-AMR工具在Fortran 90中实现,具有消息传递接口(MPI)库,支持代码效率,模块化和可移植性。本文讨论了AMR计划,FORTRAN 90数据结构和我们的并行实施策略。将证明我们软件的测试结果,将显示在一些选定的工程有限元应用程序中。还将报告我们在CRAY T3E,HP / CONVEX示范系统和PC集群上的代码的性能结果(BEOWULF-Class系统)。

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