I/O性能挑战在领导规模

Proceedings of the Conference on High Performance Computing Networking, Storage and Analysis Pub Date : 2009-11-14 DOI:10.1145/1654059.1654100

S. Lang, P. Carns, R. Latham, R. Ross, K. Harms, W. Allcock

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引用次数: 150

摘要

当今顶级高性能计算系统运行的应用程序具有数十万个进程，包含数百个存储节点，并且必须满足容量和性能方面的大量I/O需求。这些领导级系统在部署可扩展I/O系统方面面临着艰巨的挑战。在本文中，我们提出了一个I/O挑战的案例研究，在Intrepid上的性能和可伸缩性，IBM Blue Gene/P系统在阿贡领导计算设施。Intrepid是2008年最快的5台超级计算机之一，它运行对I/O系统有大量需求的计算科学应用程序。我们展示了Intrepid的文件和存储系统在不同的工作负载下保持高性能，因为应用程序随着进程数量的增加而扩展。

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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I/O performance challenges at leadership scale

Today's top high performance computing systems run applications with hundreds of thousands of processes, contain hundreds of storage nodes, and must meet massive I/O requirements for capacity and performance. These leadership-class systems face daunting challenges to deploying scalable I/O systems. In this paper we present a case study of the I/O challenges to performance and scalability on Intrepid, the IBM Blue Gene/P system at the Argonne Leadership Computing Facility. Listed in the top 5 fastest supercomputers of 2008, Intrepid runs computational science applications with intensive demands on the I/O system. We show that Intrepid's file and storage system sustain high performance under varying workloads as the applications scale with the number of processes.

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Proceedings of the Conference on High Performance Computing Networking, Storage and Analysis

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