在NASA/JPL应用中使用集群计算机系统

T. Cwik, Gerhard Klimeck, M. Mcauley, C. Norton, T. Sterling, F. Villegas, Ping Wang
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引用次数: 3

摘要

在过去几年中,集群计算机系统的应用急剧升级。在需要相对低成本访问高性能计算系统的一系列应用程序的推动下,集群计算机已在全球范围内使用。在本文中,我们概述了在JPL使用三代集群机器的结果,这些机器是从一个更大的开发工作中选择的一组应用程序。这些应用程序包括科学数据处理、基于物理的工程和科学系统建模以及用于集成设计环境的应用程序,其中集群可以大大减少周转时间。结果显示了这些应用程序对CPU性能、网络带宽和延迟以及对存储设备的IO的影响。结论是,这些在集群计算机上运行的应用程序可以引入到操作系统中,也可以用于研究和开发环境。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The use of cluster computer systems for NASA/JPL applications
The application of cluster computer systems has escalated dramatically over the last several years. Driven by a range of applications that need relatively low-cost access to high performance computing systems, clusters computers have reached worldwide use. In this paper we outline the results of using three generations of cluster machines at JPL for a select set of applications drawn from a larger development effort. The applications include those for science data processing, for physicsbased modeling of engineering and scientific systems and for applications used in integrated design environments where clusters can greatly reduce turnaround time. Results show the effects of CPU performance, network bandwidth and latency and IO to storage devices for these applications. It is concluded that these applications running on cluster computers can be introduced into operational systems, as well as used in research and development settings.
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