水声环境特征参数并行预报方法研究

随着水声装备的快速发展，其性能发挥与海洋环境的耦合越来越紧密，如何为水声传感器提供长时间、大范围、精细化水声环境参数信息，对优化水声传感器设计，充分发挥其探测性能，实现海洋环境与传感器性能发挥的最佳匹配具有重要意义。利用MPI并行编程环境开发了水声环境特征参数并行预报程序，实现了水声环境特征参数的快速预报，针对并行程序存在的任务负载不均衡问题，分析了造成负载分配不均衡的原因，给出了性能优化的策略和方法。测试结果表明，优化后的并行程序，负载均衡问题得到了有效改善，计算时间大幅缩短，大大提升了水声环境参数预报能力。

A parallel predication method of underwater acoustic environment characteristic parameters

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.