嵌入式系统中的热感知任务分配与调度
Thermal-Aware Task Allocation and Scheduling for Embedded Systems
摘要：
温度不仅影响嵌入式系统的可靠性，而且影响嵌入式系统的性能、功耗和成本。提出了一种嵌入式系统的热感知任务分配与调度算法。该算法被用作硬件/软件协同综合的子例程，以降低峰值温度并在满足实时的约束的同时实现热均匀分布。本文研究了两个功率感知和热感知的方法来任务分配和调度。实验结果表明，热感知的方法优于功率感知方案的最大和平均温度降低。据我们所知，这是第一个考虑温度的任务分配和调度算法。
英文摘要：
Temperature affects not only the reliability but also the performance, power, and cost of the embedded system. This paper proposes a thermal-aware task allocation and scheduling algorithm for embedded systems. The algorithm is used as a sub-routine for hardware/software co-synthesis to reduce the peak temperature and achieve a thermally even distribution while meeting real time constraints. The paper investigates both power-aware and thermal-aware approaches to task allocation and scheduling. The experimental results show that the thermal-aware approach outperforms the power-aware schemes in terms of maximal and average temperature reductions. To the best of our knowledge, this is the first task allocation and scheduling algorithm that takes temperature into consideration.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
