Application I/O and Data Management

W. Dai
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引用次数: 1

Abstract

A library called HIO has been developed for large-scale multi-physics simulations, based on the UDM library [10]. The goal of the library is to provide sustainable, interoperable, efficient, scalable, and convenient tools for parallel IO and data management for high-level data structures in applications, and to provide tools for the connection between applications. The high-level data structures include one- and multi-dimensional arrays, structured meshes, unstructured meshes, and the meshes generated through adaptive mesh refinement. The IO mechanism can be collective and non-collective. The data objects suitable for the library could be either large or small data sets. Even for small data sets, the IO performance is close to one of MPI-IO performance.
应用I/O和数据管理
基于UDM库[10],为大规模多物理场模拟开发了一个名为HIO的库。该库的目标是为应用程序中的高级数据结构的并行IO和数据管理提供可持续的、可互操作的、高效的、可扩展的和方便的工具,并为应用程序之间的连接提供工具。高级数据结构包括一维和多维数组、结构化网格、非结构化网格以及自适应网格细化生成的网格。IO机制可以是集体的,也可以是非集体的。适合库的数据对象可以是大数据集,也可以是小数据集。即使对于小数据集,IO性能也接近MPI-IO性能之一。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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