动态可重构noc中的任务分散度量

Mohammad Hosseinabady, J. Núñez-Yáñez, A. Coppola
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引用次数: 1

摘要

具有数千块数据块的大型片上网络(noc)受益于动态任务映射技术,其中任务到数据块的分配是在运行时决定的。动态任务映射技术可能会受到碎片化的影响,因为随着应用程序的不断映射和发布,空闲节点会分散。使用这些分散的空闲块会导致不同应用程序的任务流量之间产生干扰。本文的目的是区分和测量一个应用程序的任务(内部争用)和不同应用程序的任务(外部争用)之间的流量争用。外部争用是降低应用程序效率、增加功耗和延迟的因素之一。本文还提出了一种在任务映射场景中减少外部争用的方法。与最先进的任务映射技术相比,所提出的技术可以减少66.34%的外部通信。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Task Dispersal Measurement in Dynamic Reconfigurable NoCs
Large Network-on-Chips (NoCs) with thousands of tiles benefit from dynamic task mapping techniques in which the assignment of tasks to tiles is decided at run-time. Dynamic task mapping technique can suffer from fragmentation with free nodes being dispersed as application are mapped and released, continuously. Using these dispersed free tiles results in interference among the task traffics of different applications. The aim of this paper is to distinguish and measure the traffic contention among the tasks of an application (internal contention) and the tasks of different applications (external contention). External contention is one of the factors which decrease the application efficiency and increase the power consumption and latency. This paper also proposes a method to decrease the external contention during task mapping scenario. The proposed technique shows up to 66.34% reduction in external communication in comparison with state-of-the-art task mapping techniques.
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