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Achieving QoS in NoC-based MPSoCs through Dynamic Frequency Scaling

机译:通过动态频率缩放在基于NoC的MPSoC中实现QoS

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The management of Quality-of-Service (QoS) constraints in NoC-based MPSoCs, with dozens of tasks running simultaneously, is still a challenge. Techniques applied at design or run-time to address this issue adopts different QoS metrics. Designers include in their systems monitoring techniques, adapting at run-time the QoS parameters to cope with the required constraints. In order words, MPSoC are able to self-adapt themselves, while executing a given set of applications. Self-adaptation capability is a key feature to meet applications' requirements in dynamic systems. Dynamic Voltage and Frequency Scaling (DVFS) is an adaptation technique frequently used to reduce the overall energy consumption, not coupled to QoS constraints, as throughput or latency. Another example of adaptation technique is task migration, which focus on throughput or latency optimization. The self-adaptation technique proposed in this paper adopts Dynamic Frequency Scaling (DFS) trading-off power consumption and QoS constraints. Each processor running the applications' tasks initially reaches a steady state leading each task to a frequency level that optimizes the communication with neighbor tasks. The goal of the initial state is to reach a trade-off between power consumption and communication throughput. Next, the application performance is monitored to adjust the frequency level of each task according to the QoS parameters. Results show that the proposed self-adaptability scheme can meet the required QoS constraints, by changing the frequency of the PEs running the application tasks.
机译:在基于NoC的MPSoC中管理服务质量(QoS)约束,同时执行数十个任务,这仍然是一个挑战。在设计或运行时为解决此问题而应用的技术采用了不同的QoS指标。设计人员在其系统中包括监视技术,它们在运行时调整QoS参数以应对所需的约束。顺便说一句,MPSoC能够在执行一组给定的应用程序时自我适应。自适应功能是满足动态系统中应用程序需求的关键功能。动态电压和频率缩放(DVFS)是一种自适应技术,经常用于减少总体能耗,而与吞吐量或延迟等QoS约束无关。适应技术的另一个示例是任务迁移,它着重于吞吐量或延迟优化。本文提出的自适应技术采用了动态频率缩放(DFS)权衡功耗和QoS约束。运行应用程序任务的每个处理器最初都达到稳态,从而使每个任务达到优化与相邻任务的通信的频率水平。初始状态的目标是在功耗和通信吞吐量之间进行权衡。接下来,监视应用程序性能以根据QoS参数调整每个任务的频率级别。结果表明,通过更改运行应用程序任务的PE的频率,提出的自适应方案可以满足所需的QoS约束。

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