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Runtime Adaptive Circuit Switching and Flow Priority in NoC-Based MPSoCs

机译:基于NoC的MPSoC中的运行时自适应电路切换和流优先级

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With the significant increase in the number of processing elements in NoC-based MPSoCs, communication becomes, increasingly, a critical resource for performance gains and quality-of-service (QoS) guarantees. The main gap observed in the NoC-based MPSoCs literature is the runtime adaptive techniques to meet QoS. In the absence of such techniques, the system user must statically define, for example, the scheduling policy, communication priorities, and the communication switching mode of applications. The goal of this paper is to investigate the runtime adaptation of the NoC resources, according to the QoS requirements of each application running in the MPSoC. This paper adopts an NoC architecture with duplicated physical channels, adaptive routing, support to flow priorities and simultaneous packet and circuit switching. The monitoring and adaptation management is performed at the operating system level, ensuring QoS to the monitored applications. The QoS acts in the flow priority and the switching mode. Monitoring and QoS adaptation were implemented in software, resulting in flexibility to apply the techniques to other platforms or include other adaptive techniques, as task migration or DVFS. Applications with latency and throughput deadlines run concurrently with best-effort applications. Results with synthetic and real application reduced in average 60% the latency violations, ensuring smaller jitter and throughput. The execution time of applications is not penalized applying the proposed QoS adaptation methods.
机译:随着基于NoC的MPSoC中处理元素数量的显着增加,通信日益成为提高性能和保证服务质量(QoS)的关键资源。基于NoC的MPSoC文献中观察到的主要差距是满足QoS的运行时自适应技术。在没有此类技术的情况下,系统用户必须静态定义(例如)调度策略,通信优先级和应用程序的通信切换模式。本文的目的是根据MPSoC中运行的每个应用程序的QoS要求,研究NoC资源的运行时适应性。本文采用具有重复物理通道,自适应路由,支持流优先级以及同时进行数据包和电路交换的NoC架构。监视和适应管理在操作系统级别执行,以确保对被监视应用程序的QoS。 QoS以流优先级和交换模式起作用。监视和QoS自适应通过软件实现,从而可以灵活地将该技术应用于其他平台或包括其他自适应技术,例如任务迁移或DVFS。具有延迟和吞吐量截止日期的应用程序与尽力而为应用程序同时运行。合成和实际应用程序的结果平均减少了60%的延迟延迟,从而确保了较小的抖动和吞吐量。应用建议的QoS自适应方法不会对应用程序的执行时间造成不利影响。

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