基于间隔的I/O:一种提供高性能并行I/O的新方法

Jeremy S. Logan, P. Dickens
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引用次数: 0

摘要

为数据密集型计算提供可伸缩的高性能并行I/O受到许多困难挑战的困扰。最常见的困难包括科学代码中突出的非连续I/O模式,POSIX中缺乏对并行I/O优化的支持,提供严格的文件一致性语义的高成本,以及通过网络访问存储设备的成本。然而,我们认为,更根本的问题是将文件视为线性字节序列的遗留视图。为了解决这个问题,我们正在开发一种新的并行I/O方法,这种方法基于我们所说的间隔和间隔文件。本文概述了间隔io系统,并提供了一组基准测试,展示了这种新方法的强大功能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Interval Based I/O: A New Approach to Providing High Performance Parallel I/O
Providing scalable, high-performance parallel I/O for data-intensive computations is beset by a number of difficult challenges. The most often cited difficulties include the non-contiguous I/O patterns prominent in scientific codes, the lack of support for parallel I/O optimizations in POSIX, the high cost of providing strict file consistency semantics, and the cost of accessing storage devices over a network. We believe, however, that a more fundamental problem is the legacy view of a file as a linear sequence of bytes. To address this issue, we are developing a new approach to parallel I/O that is based on what we term intervals and interval files. This paper provides an overview of the interval-IO system and a set of benchmarks demonstrating the power of this new approach.
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