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Online Real-Time Task Scheduling in Heterogeneous Multicore System-on-a-Chip

机译:异构多核片上系统的在线实时任务调度

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Online task scheduling in heterogeneous multicore system-on-a-chip is a challenging problem due to precedence constraints and nonpreemptive task execution in the synergistic processor core. This study first proposes an online heterogeneous dual-core scheduling framework for dynamic workloads with real-time constraints. The general purpose processor core and the synergistic processor core are dedicated to separate schedulers with different scheduling policies, and precedence constraints among tasks are dealt with through interaction between the two schedulers. This framework is also configurable for low priority inversion and high system utilization. We then extend this framework to heterogeneous multicore systems with well-known dispatcher schemas. This paper presents a real case study to show the practicability of the proposed methodology, and presents a series of extensive simulations to obtain comparison studies using different workloads and scheduling algorithms.
机译:由于协同处理器内核中的优先级约束和非抢占式任务执行,异构多核片上系统中的在线任务调度是一个具有挑战性的问题。这项研究首先针对具有实时约束的动态工作负载提出了一个在线异构双核调度框架。通用处理器内核和协同处理器内核专用于具有不同调度策略的单独调度程序,并且通过两个调度程序之间的交互来处理任务之间的优先级约束。该框架也可配置用于低优先级倒置和高系统利用率。然后,我们将此框架扩展到具有著名调度程序架构的异构多核系统。本文提出了一个实际案例研究,以证明所提出方法的实用性,并提出了一系列广泛的仿真,以使用不同的工作量和调度算法来进行比较研究。

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