分层异构信号处理平台调度方法研究.

The efficiency and reliability of heterogeneous multi-processors can meet the requirements of increasingly complex signal processing tasks. Therefore, layered heterogeneous system has become the new research trend of signal processing platform. In order to improve the real-time performance of the platform and solve the problem of high throughput, the software and hardware modules and architecture of the hierarchical heterogeneous signal processing platform are studied, and a directed acyclic graph is used to model component tasks and hardware resources. The proposed scheduling algorithms are classified according to task types, scheduling objectives, scheduling processes and research methods, and the concept of combinatorial optimization algorithms is proposed according to the latest research progress of task scheduling. By comparing and analyzing the performance of classical heuristic algorithm, intelligent search algorithm, machine learning algorithm and combinatorial optimization algorithm, it is found that the combined optimization algorithm can meet the requirements of task scheduling of the platform. [ABSTRACT FROM AUTHOR]