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Out-of-core multigrid solver for streaming meshes

机译:用于流媒体网格的核心多核求解器

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We present an out-of-core multigrid for solving the Poisson equation defined over gigantic meshes. This enables gradient-domain operations on out-of-core meshes with irregular connectivity. Taking a streaming mesh and boundary constraints as input, our solver builds a multigrid hierarchy and refines the multigrid solution progressively by performing all operations as streaming computations. A set of rules are carefully designed to make neighboring multigrid nodes perform tasks cooperatively and efficiently. With a sublinear memory growth with respect to the number of mesh vertices, our approach handles meshes with 14M vertices using merely 84MB of memory, while an equivalent in-core multigrid implementation fails to fit into 2GB memory space.
机译:我们介绍了一个核心的多核,用于求解在巨大网格上定义的泊松方程。这使得具有不规则连接的核心网格上的梯度域操作。拍摄流网格和边界约束作为输入,我们的求解器构建了多个层次结构,通过作为流计算的所有操作进行所有操作逐步地改进多个功能解决方案。一组规则被仔细旨在使邻近的MultiGrid节点进行协作和有效地执行任务。对于相对于网眼顶点的数量的汇总存储器增长,我们的方法仅使用84MB内存使用14M顶点的网格处理,而等效的内核多资格实现无法拟合成2GB存储空间。

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