An abstract data type for parallel simulations based on sparse grids

机译：基于稀疏网格的并行模拟的抽象数据类型

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In this paper we introduce an abstract data type for the distributed representation and efficient handling of sparse grids on parallel architectures. The new data layout, implemented by means of the PVM message passing library, provides partitioning and dynamic load balancing transparent to the application making use of it. This enables parallelization of sequential partial differential equations (PDE) solvers based on sparse grids with hardly any source code modifications.

机译：在本文中，我们为并行架构上的稀疏网格的分布式表示和有效处理引入了一种抽象数据类型。通过PVM消息传递库实现的新数据布局为使用它的应用程序提供了透明的分区和动态负载平衡。这使几乎没有任何源代码修改的基于稀疏网格的顺序偏微分方程（PDE）求解器并行化。

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《Parallel virtual machine-EuroPVM'96》|1996年|p.59-67|共9页
会议地点 Munich(DE);Munich(DE)
作者
M.May; T.Schiekofer;
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原文格式 PDF
正文语种 eng
中图分类自动化技术、计算机技术;
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An abstract data type for parallel simulations based on sparse grids

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