Abstract: Heterogeneous multi-core technology has become the developing trend of the supercomputers architecture. The effective utilization of the computing power of multi-core processor is a grand challenge in the current CFD industry. The parallel computation for the CFD in hydrodynamics has been explored for heterogeneous multi-core processor based on self-developed code. Firstly, the challenges of the heterogeneous multi-core technology to the CFD parallel computation are analyzed. Secondly. The multi-core parallel computing scheme is designed for SIMPLE algorithm and pseudo-compressible algorithm for SIMPLE and the pseudo-compressible algorithms aiming at the SW26010 processor. The two-dimensional square cavity driven flow are calculated to verify and validate the calculation results and the many-core acceleration effect. Then, the calculation procedure is optimized by using the cyclic fusion method in view of the scattered hot spots of SIMPLE algorithm. The results show that the SIMPLE algorithm and Pseudo-compressible algorithm can achieve the maximum acceleration of 11 times and 24 times, respectively. It preliminarily presents the application potential of the multi-core processor in the parallel computation for the CFD in hydrodynamics.

Key words: multi-core processor, parallel computation, incompressible flow, SIMPLE algorithm, pseudo-compressible algorithm

摘要： 异构众核已成为超级计算机架构的发展趋势,而如何有效利用众核处理器的计算能力,是当前CFD界的一项重大挑战。该文面向异构众核处理器,基于自主开发代码,开展水动力学CFD并行计算探索研究。首先分析异构众核给CFD并行计算带来的挑战;针对国产申威26010处理器,对SIMPLE算法和人工压缩算法设计众核并行方案,并通过二维方腔驱动流算例,对计算结果和众核加速效果进行验证和测试;然后,针对SIMPLE算法热点分散的特点,采用循环融合的方法对其计算流程进行优化。研究结果表明：SIMPLE算法和人工压缩算法分别获得11倍和24倍的最高加速。该项研究工作,初步展现了众核处理器在水动力学CFD并行计算中的应用潜力。

关键词: 众核处理器, 并行计算, 不可压流动, SIMPLE算法, 人工压缩算法