OpenMP多线程负载均衡调度策略研究与实现

循环并行化是OpenMP并行化程序中最重要的部分，线程数、循环体大小、调度策略等是并行化过程需要考虑的主要因素。为了在调度开销与负载均衡之间获得更好的权衡，在OMPi编译器中实现了梯式trapezoid调度策略，以提高OpenMP多线程程序的运行性能。实验结果表明，梯式调度策略应用在递减以及某些极不规则的循环结构中，在适当的线程数下，与指数调度相比，该调度策略能表现出更好的性能。

Study and Implementation of OpenMP Multi-thread Load Balance Scheduling Scheme

Loop is one of the most important structures that can be parallelized effectively with OpenMP. However, the performance outcome will depends on the threads number, size of loop body and scheduling scheme. In order to get better performance and reach a better trade-off between scheduling overhead and load balance, this paper implemented the trapezoid scheduling scheme using OMPi, a open-source compiler that supports OpenMP API. The evaluation results show that; with normal threads number, the trapezoid self-scheduling will yield better performance than guided self-scheduling in case of the decreasing- and irregular-loop structure.