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Self-timed Periodic Scheduling for a Cyclo-static DataFlow Model

机译:循环静态数据流模型的自定时周期调度

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Real-time and time-constrained applications programmed on many-core systems can suffer from unmet timing constraints even with correct-by-construction schedules. Such unexpected results are usually caused by unaccounted for delays due to resource sharing ( e.g. the communication medium). In this paper we address the three main sources of unpredictable behaviors: First, we propose to use a deterministic Model of Computation (MoC), more specifically, the well-formed CSDF subset of process networks; Second, we propose a run-time management strategy of shared resources to avoid unpredictable timings; Third, we promote the use of a new scheduling policy, the so-said Self-Timed Periodic (STP) scheduling, to improve performance and decrease synchronization costs by taking into account resource sharing or resource constraints. This is a quantitative improvement above state-of-the-art scheduling policies which assumed fixed delays of inter-processor communication and did not take correctly into account subtle effects of synchronization.
机译:在多核系统上编程的实时且受时间限制的应用程序可能会遇到无法满足的时序约束,即使采用按构造正确的进度表。此类意外结果通常是由于未考虑到由于资源共享(例如,通信介质)引起的延迟而导致的。在本文中,我们讨论了不可预测行为的三个主要来源:首先,我们建议使用确定性计算模型(MoC),更具体地说,使用格式良好的过程网络CSDF子集;其次,我们提出了共享资源的运行时管理策略,以避免不可预测的时间安排;第三,我们提倡使用一种新的调度策略,即所谓的自定时定期(STP)调度,以通过考虑资源共享或资源限制来提高性能并降低同步成本。这是对最先进的调度策略的定量改进,该调度策略假定了处理器间通信的固定延迟,并且没有正确考虑同步的细微影响。

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