Real-time communications scheduling for massively parallel processors

R. Games, A. Kanevsky, P. Krupp, L. Monk
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引用次数: 10

Abstract

Can general purpose commercial massively parallel processors (MPPs) be used for computationally intensive real-time applications that have traditionally required a custom arrangement of special-purpose computers and mainframes? If so, then the enormous lifecycle costs of many systems needed by, for instance, the Government could potentially be reduced. The components would be commercially available and continuing technological advances could more easily be incorporated into existing systems. Relevant applications have requirements not found in large-scale scientific computing, which has up to now provided most of the motivation for the development of MPPs. Perhaps the most important difference is the need for real-time processing. Depending on the application, multi-level security, fault tolerance and other features may also be necessary. There have already been hardware advances that may make such a high performance computing solution possible. However, daunting software challenges remain. We focus on one critical problem, the real-time scheduling of the communications between processing nodes. We discuss real-time MPP application benchmarks.
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大规模并行处理器的实时通信调度
通用商业大规模并行处理器(mpp)能否用于计算密集型实时应用程序,这些应用程序传统上需要定制专用计算机和大型机的安排?如果是这样,那么,例如政府所需要的许多系统的巨大生命周期成本就有可能减少。这些部件可以在市场上买到,而且持续的技术进步可以更容易地纳入现有系统。相关应用具有大规模科学计算所没有的需求,这是迄今为止mpp发展的主要动力。也许最重要的区别是需要实时处理。根据应用程序的不同,可能还需要多级安全性、容错和其他特性。硬件方面的进步已经使这种高性能计算解决方案成为可能。然而,令人生畏的软件挑战仍然存在。我们关注一个关键问题,即处理节点间通信的实时调度。我们讨论实时MPP应用程序基准。
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