Latency Hiding File I/O for Blue Gene Systems

Florin Isaila, Francisco Javier García Blas, J. Carretero, R. Latham, S. Lang, R. Ross
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引用次数: 6

Abstract

This paper presents the design and implementation of a novel file I/O solution for Blue Gene systems. We propose a hierarchical I/O cache architecture based on open source software. Our solution is based on an asynchronous data staging strategy, which hides the latency of file system access from compute nodes. The performance results demonstrate the high scalability and significant performance improvements of our architecture over existing solutions.
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延迟隐藏文件I/O的蓝色基因系统
本文提出了一种适用于Blue Gene系统的新型文件I/O解决方案的设计与实现。提出了一种基于开源软件的分层I/O缓存架构。我们的解决方案基于异步数据分段策略,该策略隐藏了计算节点访问文件系统的延迟。性能结果表明,与现有解决方案相比,我们的架构具有高可伸缩性和显著的性能改进。
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