Abstract: With the rapid development of underwater acoustic equipment, the coupling between its performance and ocean environment is becoming stronger and stronger. How to provide long-time, wide-ranger and fine underwater acoustic characteristic parameter information for underwater acoustic sensors is of great importance for optimizing the design of underwater acoustic sensors and making full use of their detection performance to realize the best matching between ocean environment and sensor performance. The parallel prediction program of underwater acoustic environment characteristic parameters is developed by using the MPI parallel programming environment. Aiming at the problem of uneven load distribution in parallel programs, the causes of uneven load distribution are analyzed, the strategies and methods of performance optimization are given. The results show that the load balancing problem of the optimized parallel program is improved, the computing time is greatly reduced, and the prediction ability of underwater acoustic environment parameters is greatly improved.

Key words: underwater acoustic environment, characteristic parameter, parallel computing, MPI