This paper presents an end-to-end synthesis technique for low-power distributed real-time system design. This technique synthesizes supply voltages of resources to optimize system-level power consumption while satisfying end-to-end hard real-time latency bounds. A system is modeled as a set of distributed task chains (or pipelines). Each task chain is given its own end-to-end constraints. Task chains may share resources. Our approach searches the space of the trade-off between end-to-end latency and supply voltages of resources to minimize system-level power consumption. A power optimization algorithm is proposed for simple distributed real-time systems that do not have any resource sharing between task chains, and its optimality is shown. For more general systems, a heuristic based on the same techniques is proposed.
本文提出了一种用于低功耗分布式实时系统设计的端到端综合技术。该技术合成资源的电源电压,以优化系统级功耗,同时满足端到端的硬实时延迟范围。系统被建模为一组分布式任务链(或管道)。每个任务链都有自己的端到端约束。任务链可以共享资源。我们的方法在端到端延迟与资源供应电压之间权衡取舍的空间,以最大程度地降低系统级功耗。针对在任务链之间没有任何资源共享的简单分布式实时系统,提出了一种功率优化算法,并给出了其最优性。对于更通用的系统,提出了一种基于相同技术的启发式算法。 P>
University of Southern California/Information Sciences Institute, Arlington, VA;
University of Southern California/Information Sciences Institute, Arlington,VA;
机译:分布式实时系统的功耗感知设计综合技术
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机译:分布式实时系统的功耗感知设计综合技术