超级计算机性能监测系统综述

K. Stefanov, Sucheta Pawar, Ashish Ranjan, Sanjay Wandhekar, V. Voevodin
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引用次数: 0

摘要

高性能计算是当今计算机科学及其应用的新兴领域之一。顶级的高性能计算设施,超级计算机,为建模不同的过程提供了巨大的机会,从而允许在没有全面实验的情况下创建更多更大的产品。目前的超级计算机及其应用程序非常复杂,因此很难有效地使用。性能监视系统是帮助理解超级计算应用程序的效率和整个超级计算机功能的工具。这些系统收集超级计算机上发生的事情的数据(性能数据,性能指标),并以一种允许在超级计算机上运行的程序中得出性能问题的结论的方式呈现它们。本文概述了为超级计算机设计或使用的现有性能监控系统。我们比较了文献中发现的性能监控系统,描述了监控大型高性能计算系统中出现的问题,并概述了我们对高性能计算监控系统未来发展方向的展望。
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A Review of Supercomputer Performance Monitoring Systems
High Performance Computing is now one of the emerging fields in computer science and its applications. Top HPC facilities, supercomputers, offer great opportunities in modeling diverse processes thus allowing to create more and greater products without full-scale experiments. Current supercomputers and applications for them are very complex and thus are hard to use efficiently. Performance monitoring systems are the tools that help to understand the efficiency of supercomputing applications and overall supercomputer functioning. These systems collect data on what happens on a supercomputer (performance data, performance metrics) and present them in a way allowing to make conclusions about performance issues in programs running on the supercomputer. In this paper we give an overview of existing performance monitoring systems designed for or used on supercomputers. We give a comparison of performance monitoring systems found in literature, describe problems emerging in monitoring large scale HPC systems, and outline our vision on future direction of HPC monitoring systems development.
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