组织结构化数据并行访问的方法

Alexey Olegovich Ignatyev, Sergey Yurievich Mokshin, Dmitry Vladimirovich Ivankov, Evgeny Alexandrovich Beketov
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引用次数: 0

摘要

本文探讨了通过包含结构化数据的文件实现尽可能高的交换性能的方法。研究了具有超级计算机并行访问的文件系统,以解决各种过程和对象的物理和数学建模问题。例如,考虑使用Lustre文件系统对原始数据进行并行访问。本文提出了一种基于特殊开发的PSIO存储格式和PSIO访问库的结构化数据并行访问组织方法。对所开发的数据存储格式和HDF5并行版本格式的I/O性能进行了比较分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Ways to Organize Parallel Access to Structured Data
This paper explores ways to achieve the highest possible exchange performance with files containing structured data. The research was carried out on file systems with supercomputer systems parallel access designed to solve problems of physical and mathematical modeling of various processes and objects. For example, parallel access to raw data is considered using the Lustre file system. The article suggests a way to organize parallel access to structured data based on a specially developed PSIO storage format and the psio access library. A comparative analysis of the I/O performance of the developed data storage format and the HDF5 parallel version format is performed.
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