一种针对多处理器片上系统的静态任务分配方法  

A Static Task Allocation Method for Multiprocessor System-on-Chip

作　　者：吉慧[1] 周磊[1] 

机构地区：[1]扬州大学信息工程学院,江苏扬州225000

出　　处：《无线电工程》2017年第8期22-26,共5页Radio Engineering

基　　金：国家自然科学基金资助项目(61376025;61301111);江苏省高校自然科学基金资助项目(13KJB510039);扬州市自然科学青年基金资助项目(SQN20150035)

摘　　要：随着集成技术的快速发展,使得单个芯片上集成IP核数目越来越多。然而,晶体管密度和处理器工作频率的不断提升,使得功耗密度持续增加,导致芯片热量的不断上升。因此,MPSoCs面临不可避免的散热问题。提出了一种基于处理器核区域均温(Regional Mean Temperature,RMT)的初始任务分配策略,该方法充分考虑到处理器核区域温度。通过向量距离计算处理器核温度梯度,使用遗传算法进行初始任务分配。实验结果表明,该策略相比于随机任务分配策略,峰值温度降低率、热点降低率和温度梯度降低率最高分别达到4.69%、42.31%和77.49%。With the rapid development of integration technology,more and more IP cores are integrated on a single chip.However,the improvement of the transistor density and processor working frequency results in increasing power density and heat generation.So MPSoCs are facing inevitable heat dissipation problems.In this paper,a task allocation method based on the Regional Mean Temperature（RMT） of the processor core is proposed.The method fully considers the regional temperature of processor cores by using vector distance to calculate temperature gradient and adopting genetic algorithm to assign the initial task.Experiment results indicate that,compared with the random task allocation strategy,the peak temperature reduction,hotspot reduction and temperature gradient reduction in RMT strategy can reach the maximum values of 4.69%,42.31% and 77.49%,respectively.

关 键 词：多处理器片上系统(MPSoCs) 任务分配 区域均温 遗传算法 

分 类 号：TN919[电子电信—通信与信息系统]