This letter presents a scheduling policy for multicore embedded applications based on their thermal phase behavior. The thermal phase-guided task allocation allows the scheduler to allocate tasks that run at elevated temperature to low-power cores while others running at normal temperature to high performing cores. The proposed phase-based thermal aware technique shows 15.4 °C reduction in average temperature and 30.5 °C in peak temperature when experimented with PARSEC benchmark applications targeted on the ODROID XU4 embedded platform.

中文翻译：

---

嵌入式平台的应用阶段行为引导热管理


这封信提出了一种基于多核嵌入式应用的热相行为的调度策略。热阶段引导任务分配允许调度程序将在高温下运行的任务分配给低功耗核心，而将在正常温度下运行的其他任务分配给高性能核心。在针对 ODROID XU4 嵌入式平台的 PARSEC 基准应用程序进行实验时，所提出的基于相位的热感知技术显示平均温度降低了 15.4 °C，峰值温度降低了 30.5 °C。