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Data Migration Substrate for the Load Balancing of Parallel Adaptive Unstructured Mesh Computations

机译:用于并行自适应非结构​​化网格计算的负载平衡的数据迁移基板

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Providing adequate software support for unstructured grid generation codes is challenging even for sequential implementations. In parallel implementations, program complexity increases by an order of magnitude due to dynamic, data-dependent, irregular computation and communication requirements. Even more challenging is the implementation of parallel methods that maintain the same quality guarantees as their sequential counterparts. In this paper we present a data migration run-time system, the Mobile Object Layer, for implementing load balancing heuristics for parallel adaptive unstructured mesh computations. We also argue that the Mobile Object Layer (MOL) simplifies this formidable task. We present preliminary performance data from a parallel mesh generator, based on the Constrained Delaunay Triangulation (CDT), which suggest that the flexibility and general nature of our data-migration approach does not cause undue overhead.
机译:即使对于顺序实现,为非结构化网格生成代码提供足够的软件支持也是具有挑战性的。在并行实现中,由于动态的,与数据相关的,不规则的计算和通信要求,程序复杂度增加了一个数量级。更具挑战性的是并行方法的实现,该方法要保持与顺序方法相同的质量保证。在本文中,我们提出了一种数据迁移运行时系统,即移动对象层,用于为并行自适应非结构​​化网格计算实现负载平衡启发式算法。我们还认为,移动对象层(MOL)简化了这一艰巨的任务。我们基于约束Delaunay三角剖分(CDT)提供了来自并行网格生成器的初步性能数据,这表明我们的数据迁移方法的灵活性和一般性质不会造成不必要的开销。

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