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引用次数: 0

摘要

在撰写本文之前,现有的高性能计算(High Performance Computing, HPC)系统没有提供适当的服务质量(QoS)控制和可靠性特性,原因有两点:第一,消息传递接口(Message Passing Interface, MPI)和并行虚拟机(Parallel Virtual Machine, PVM)等标准中间件库没有为应用程序指定计算和通信的服务质量提供手段。其次,Infiniband、Myrinet和Quadrics等现代高速互连是针对性能而不是容错和QoS控制进行优化的。以数据为中心的发布-订阅(DCPS)模型——数据分发服务(DDS)系统的核心——定义了一些标准,使运行在异构平台上的应用程序能够在以网络为中心的系统中控制各种QoS策略。在本文中,我们提出了将DDS QoS和可靠性控制整合到HPC系统中的新模型。我们的研究结果表明,当应用程序主要是通信时,DDS集成到HPC中在性能和网络利用率方面增加了相当大的偷听。
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High performance and grid computing with quality of service control
Up to writing this paper, existing High Performance Computing (HPC) systems do not provide proper quality of service (QoS) controls and reliability features because of two limitations: first, standard middleware libraries such as Message Passing Interface (MPI) and Parallel Virtual Machine (PVM) do not provide means for applications to specify service quality for computation and communication. Second, modern high-speed interconnects such as Infiniband, Myrinet and Quadrics are optimized for performance rather than fault-tolerance and QoS control. The Data-Centric Publish-Subscribe (DCPS) model - the core of Data Distribution Service (DDS) systems - defines standards that enable applications running on heterogeneous platforms to control various QoS policies in a net-centric system. In this paper, we present our novel model of incorporating DDS QoS and reliability controls into HPC systems. Our results show that DDS integration into HPC adds considerable overheard in terms of performance and network utilization, when the application is mainly communication.
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