异构多平台信号处理任务调度研究

Research on Task Scheduling of Heterogeneous Platform Signal Processing

简单的并行计算或单一异构平台已经无法满足计算量大、复杂度高的信号处理和任务调度需求,异构多平台系统已经成为信号处理和任务调度的发展趋势。针对提高平台的吞吐量、处理器的利用率以及任务的感知等问题,文中对异构多平台信号处理模型进行了研究,并利用有向无环图对调度任务和软硬件资源建模。基于已提出的调度算法,对任务调度进行了归纳总结、对比分析,发现基于任务感知的混合调度算法能够较好地满足平台调度需求。利用基于任务感知的混合调度算法解决信号处理中的任务调度将是未来研究发展的趋势。

The simple parallel computing or single heterogeneous platform can no longer meet the requirements of signal processing and task schedulingwith large computation and high complexity,so heterogeneous multi platform system has become the development trend of signal processing and task scheduling.In view of improving the throughput of the platform,utilization rate of the processor and perception of the task,this study investigates the signal processing model of heterogeneous multi-platform,and the scheduling tasks and hardware and software resources are modeled by directed acyclic graph.Based on the proposed scheduling algorithms,the task scheduling is summarized and compared.It is found that the hybrid scheduling algorithm based on task perception can meet the platform scheduling requirements well.It is a trend of future research to use mixed scheduling algorithm based on task perception to solve task scheduling in signal processing.