高性能计算集群生命周期监控的演变

A. DeConinck, K. Kelly
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引用次数: 3

摘要

高性能计算机(HPC)系统的使用寿命通常为4到6年。在此生命周期内,系统将经历系统软件堆栈和硬件配置的重大变化。同时,随着旧系统的退役和新系统的引入,它周围的物理环境也会发生变化。本报告主要介绍我们使用Mustang的经验,Mustang是LANL的一个1600节点Linux集群。在我们运行野马的三年中,机器和环境发生了很大变化,这导致了集群的可靠性和稳定性问题。在本报告中,我们介绍了自Mustang安装以来使用标准监控和分析工具的经验,以及我们的工具和使用的最新进展如何提高了我们解决这些问题和及时执行根本原因分析的能力。这些进步既改善了我们对现有设备的管理,也为未来系统的硬件和工具需求提供了信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evolution of Monitoring over the Lifetime of a High Performance Computing Cluster
High Performance Computer (HPC) systems typically have lifetimes of four to six years. During this lifetime a system will undergo substantial changes in the system software stack and hardware configuration. Simultaneously, the physical environment around it will change as old systems are retired and new systems are brought in. This report focuses on our experience with Mustang, a 1600 node Linux cluster at LANL. Over the three years we have operated Mustang, the machine and environment have changed substantially, which has resulted in reliability and stability issues on the cluster. In this report we present our experiences with standard monitoring and analysis tools available on Mustang since its installation, and how recent advances in our tools and usage have improved our ability to troubleshoot these issues and perform timely root cause analysis. These advances have both improved our management of existing installations as well as informed our hardware and tooling requirements for future systems.
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