A. Wissink, R. Hornung, S. Kohn, Steve S. Smith, N. Elliott
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引用次数: 150
摘要
本文讨论了面向结构自适应网格细化(SAMR)多物理场应用的软件框架SAMRAI中并行数据通信基础设施的设计和性能。我们描述了这些应用程序的需求，以及SAMRAI抽象如何管理这些应用程序中的复杂数据通信操作。并行性能的特点是在IBM ASCI Blue Pacific系统的多达512个处理器上解决双曲守恒定律的两个自适应问题。结果表明，该方法在数值和数据通信操作中具有良好的可伸缩性，但在计算的自适应网格划分和通信调度构建阶段可伸缩性较差。我们分析了这些不同操作的成本，解决了将SAMR计算扩展到大量处理器的关键问题，并讨论了改进当前实现的潜在更改。
Large Scale Parallel Structured AMR Calculations Using the SAMRAI Framework
This paper discusses the design and performance of the parallel data communication infrastructure in SAMRAI, a software framework for structured adaptive mesh refinement (SAMR) multi-physics applications. We describe requirements of such applications and how SAMRAI abstractions manage complex data communication operations found in them. Parallel performance is characterized for two adaptive problems solving hyperbolic conservation laws on up to 512 processors of the IBM ASCI Blue Pacific system. Results reveal good scaling for numerical and data communication operations but poorer scaling in adaptive meshing and communication schedule construction phases of the calculations. We analyze the costs of these different operations, addressing key concerns for scaling SAMR computations to large numbers of processors, and discuss potential changes to improve our current implementation.
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