Abstract:The lattice Boltzmann method (LBM) is a computational fluid dynamics (CFD) method based on molecular motion theory. Improving the parallel computing capability of LBM is an important research topic in the high-performance computing field. This article is based on the SW26010Pro processor and achieves multi-level parallelism of LBM through optimization methods such as region decomposition, data reconstruction, double buffering, and vectorization. Based on the above optimization methods, a grid size of 56 million is tested, and the implementation results show that compared to message passing interface (MPI) level parallelism, the average acceleration factor of the collision process reaches 61.737, and that of the migration process reaches 17.3. At the same time, strong expansion testing is conducted on the lid-driven cavity flow case, with a grid size of 1200×1200×1200. Based on 62 000 computing cores, the parallel efficiency of one million cores exceeds 60.5%.