Study on Preprocessing Algorithm for Partition Reconnection of Unstructured-grid Based on Domestic Many-core Architecture

How to efficiently solve the discrete-memory-accessing problem of unstructed-grid is one of the hot-spot issues in the field of parallel algorithms and application in scientific and engineering computing.The distributed block reconnection optimization algorithm,which is designed on the basis of domestic Sunway heterogeneous many-core architecture,can maintain high computing performance when solving the problem of unstructured sparsity in applications.After deeply analyzing the on-chip communication mechanism of the many-core architecture,an efficient message grouping strategy is designed to improve the bandwidth utilization of on-chip array on the slave core.At the same time,a barrier-free data distribution algorithm is combined to give full play to the network perfor-mance of the domestic heterogeneous many-core architecture.Through the establishment of perfor-mance models and experimental analysis,the average memory bandwidth of the proposed algorithm can reach more than 70% of the theoretical value under different memory access situations.Compared with the serial algorithm on the master core,it has an ave-rage of 10 times and a maximum of 45 times performance acceleration.At the same time,the universal applicability of the algorithm is proved by application tests in different fields.