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首页> 外文期刊>IEEE Transactions on Parallel and Distributed Systems >Energy-Efficient Parallel Real-Time Scheduling on Clustered Multi-Core
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Energy-Efficient Parallel Real-Time Scheduling on Clustered Multi-Core

机译：集群多核节能并行实时调度

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摘要

Energy-efficiency is a critical requirement for computation-intensive real-time applications on multi-core embedded systems. Multi-core processors enable intra-task parallelism, and in this work, we study energy-efficient real-time scheduling of constrained deadline sporadic parallel tasks, where each task is represented as a directed acyclic graph (DAG). We consider a clustered multi-core platform where processors within the same cluster run at the same speed at any given time. A new concept named speed-profile is proposed to model per-task and per-cluster energy-consumption variations during run-time to minimize the expected long-term energy consumption. To our knowledge, no existing work considers energy-aware real-time scheduling of DAG tasks with constrained deadlines, nor on a clustered multi-core platform. The proposed energy-aware real-time scheduler is implemented upon an ODROID XU-3 board to evaluate and demonstrate its feasibility and practicality. To complement our system experiments in large-scale, we have also conducted simulations that demonstrate a CPU energy saving of up to 67 percent through our proposed approach compared to existing methods.
机译：能量效率是对多核嵌入式系统的计算密集型实时应用的关键要求。多核处理器能够实现任务内并行性，并且在这项工作中，我们研究了有限的截止日期散奇并行任务的节能实时调度，其中每个任务表示为定向的非循环图（DAG）。我们考虑一个集群多核平台，同一群集内的处理器在任何给定时间以相同的速度运行。一个名为<斜视>速度配置文件的新概念被提出到运行时的每次任务和每簇的能量消耗变化，以最小化预期的长期能量消耗。据我们所知，没有现有的工作考虑了具有<斜视>约束的截止日期，也没有关于<斜体>群集的多核平台的能量感知实时调度。所提出的能量感知实时调度程序是在<斜视> Otroid XU-3 板上实现的，以评估和展示其可行性和实用性。为了使我们的系统实验以大规模的大规模补充，我们还进行了模拟，与现有方法相比，我们通过建议的方法展示了高达67％的CPU节能。

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