利用推测预取探索并行I/O并发性

Yong Chen, S. Byna, Xian-He Sun, R. Thakur, W. Gropp
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引用次数: 25

摘要

并行应用程序可以从大量的计算能力中获益,但是由于I/O访问的大延迟,它们的性能通常会受到影响。传统的I/O预取技术是保守的,并且受到精度和覆盖率低的限制。随着处理器性能的快速提高,计算能力几乎是免费的,我们在本研究中引入了一种新的推测方法,用于全面和积极的并行I/O预取。我们介绍了我们的方法的设计、挑战、解决方案和我们的原型实现。实验表明,在减少I/O访问延迟方面取得了可喜的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploring Parallel I/O Concurrency with Speculative Prefetching
Parallel applications can benefit greatly from massive computational capability, but their performance usually suffers due to large latency in I/O accesses. Conventional I/O prefetching techniques are conservative and are limited by low accuracy and coverage. As the processor performance has been increasing rapidly and the computing power is virtually free, we introduce a novel speculative approach for comprehensive and aggressive parallel I/O prefetching in this study. We present the design of our approach as well as challenges, solutions, and our prototype implementation. The experiments have shown promising results in reducing I/O access latency.
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