基于任务调度的电力终端多核芯片能耗优化技术

作为智能电力系统建设的核心,电力相关芯片的快速普及使得芯片的能耗也成为了电力系统的能耗中不可忽视的一部分。针对电力终端多核芯片的能耗问题,首先基于原有的任务调度技术,提出了考虑任务运行时间概率分布(task execution time probability,TETP)的任务内调度方案;并利用混合整型线性规划(mixed integer linear programming,MILP)将该问题建模,以求用数学方法得到该调度方案能获得的最优解。最后,通过建立实验验证平台对此方法加以验证,结果显示文中提出的调度方案相比于传统调度方案平均减少的能耗在30%以上。

Energy Consumption Optimization Technology of Power Terminal Multi-core Chip Based on Task Scheduling

As the core of intelligent power system construction,the rapid popularization of power-related chips has made its energy consumption a part of the energy consumption of power systems.For solving energy consumption issues for power terminal multi-core chip,firstly,based on the original task scheduling technology,this paper proposes an intra-task scheduling method that considers the probability distribution of task execution time;and uses mixed integer linear programming(MILP)to model the problem to obtain mathematical methods,to find the best scheduling solution.Finally,this paper verifies this method by establishing an experimental verification platform.The results show that the proposed method can save more than 30%energy consumption expectation than the traditional scheduling method.