The performance of task scheduling algorithm on heterogeneous MPSoC is affected by heterogeneous cores, run-time load and tasks dependencies. A novel load-aware task scheduling algorithm is proposed on heterogeneous MPSoC, which divides task-set into task-subsets based on tasks dependencies, computation overhead and communication overhead. In considering the core's load state, task-subsets are dispatched to appropriate cores by maximum weight matching of weighted bipartite graph, which improves the overall efficiency of task-set. Simulation results show that the proposed algorithm can reduce the length of task-set scheduling and improve the utilization of cores.%处理器核的异构性、运行时负载和任务间依赖关系,是影响异构MPSoC任务调度算法性能的关键因素.该文提出了一种负载感知的异构MPSoC任务调度算法,在满足任务间依赖关系的前提下,根据计算开销和通信负载将待调度任务集划分为任务子集.在考虑处理器核负载状态的基础上,通过赋权二部图最大权匹配,将任务子集调度到适载的处理器核上运行,提高了待调度任务集总执行效率.仿真实验结果表明,该算法有效降低了任务集的调度长度,提高了处理器核的利用率.
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