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首页> 外文会议>Supercomputing, 2005. Proceedings of the ACM/IEEE SC 2005 Conference >Quantifying Locality In The Memory Access Patterns of HPC Applications
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Quantifying Locality In The Memory Access Patterns of HPC Applications

机译：量化HPC应用程序的内存访问模式中的位置

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摘要

Several benchmarks for measuring the memory performance of HPC systems along dimensions of spatial and temporal memory locality have recently been proposed. However, little is understood about the relationships of these benchmarks to real applications and to each other. We propose a methodology for producing architecture-neutral characterizations of the spatial and temporal locality exhibited by the memory access patterns of applications. We demonstrate that the results track intuitive notions of locality on several synthetic and application benchmarks. We employ the methodology to analyze the memory performance components of the HPC Challenge Benchmarks, the Apex-MAP benchmark, and their relationships to each other and other benchmarks and applications. We show that this analysis can be used to both increase understanding of the benchmarks and enhance their usefulness by mapping them, along with applications, to a 2-D space along axes of spatial and temporal locality.
机译：最近提出了一些用于测量HPC系统沿空间和时间存储局部性维度的存储性能的基准。但是，对于这些基准与实际应用程序以及彼此之间的关系知之甚少。我们提出了一种方法，用于产生应用程序的内存访问模式所展现的时空局部性的架构中立特征。我们证明了这些结果在多个综合和应用基准上跟踪了直观的本地性概念。我们采用该方法来分析HPC挑战基准，Apex-MAP基准及其彼此之间的关系以及其他基准和应用程序的内存性能组件。我们表明，通过将这些基准及其应用程序沿空间和时间局部性轴映射到二维空间，可以使用此分析来增进对基准的了解并增强其实用性。

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