Coarray Fortran中基于团队的内存层次感知运行时支持方法

Dounia Khaldi, Deepak Eachempati, Shiyao Ge, P. Jouvelot, B. Chapman
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引用次数: 2

摘要

我们描述了如何利用2级内存层次结构来优化即将到来的Fortran 2015标准的并行方面的团队实现。我们将重点放在降低与在计算节点内和节点之间移动数据相关的成本上,发现这种区别在考虑性能问题时非常重要。我们为PGAS引入了一种新的硬件感知方法,可在运行时系统中使用,以优化将不同团队绑定在一起的虚拟拓扑和集群中的通信。我们已经将这种方法应用到CAF OpenUH编译器中,并将其实现到三个重要的集合操作中,即屏障、所有对所有约简和一对所有广播,这是第一个既提供团队又在团队中处理这种内存层次方法的Fortran编译器。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Team-Based Methodology of Memory Hierarchy-Aware Runtime Support in Coarray Fortran
We describe how 2-level memory hierarchies can be exploited to optimize the implementation of teams in the parallel facet of the upcoming Fortran 2015 standard. We focus on reducing the cost associated with moving data within a computing node and between nodes, finding that this distinction is of key importance when looking at performance issues. We introduce a new hardware-aware approach for PGAS, to be used within a runtime system, to optimize the communications in the virtual topologies and clusters that are binding different teams together. We have applied, and implemented into the CAF OpenUH compiler, this methodology to three important collective operations, namely barrier, all-to-all reduction and one-to-all broadcast, this is the first Fortran compiler that both provides teams and handles such a memory hierarchy methodology within teams.
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