射线模型的动态混合并行计算,用于在广的海洋中解决水下声场
Siyuan Liao1, Wenbin Xiao2, Yongxian Wang3
1College of Meteorology and Oceanography, National University of Defense Technology, Changsha, 410073, China.
Scientific reports
|October 25, 2024
概括
这项研究引入了一种用于快速计算水下声场的新模型,这对于搜索路线规划至关重要. 平行计算策略实现了显著的加快速度,提高了水下目标搜索效率.
科学领域:
- 海洋声学 海洋声学
- 计算物理 计算物理
- 高性能计算 高性能计算
背景情况:
- 水下目标搜索依赖于声学信息进行路线规划.
- 传统的声场计算方法对于实时应用来说太慢了.
- 快速计算水下声场对于提高搜索成功率至关重要.
研究的目的:
- 开发一个高效的水下多声波场计算模型.
- 为此模型设计多级混合并行计算策略.
- 使用动态调度优化算法解决负载失衡问题.
主要方法:
- 开发了基于射线理论的水下多声波场计算模型.
- 实施了根据模型量身定制的多级混合并行计算策略.
- 在流程层面引入了一个动态调度优化算法.
- 在天河II高性能计算机 (HPC) 系统上测试的策略.
主要成果:
- 混合并行计算策略实现了75.7倍的速度,超过使用240个核心的串行版本.
- 动态调度优化进一步提高了28.99%的解决速度,达到97.67x的速度.
- 天-II高压电站的最佳过程/线程参数 (3/8) 产生了112.13x的最终加速度.
结论:
- 开发的模型和并行策略显著加速了水下声场计算.
- 动态调度有效地解决负载失衡,提高计算效率.
- 优化的方法提高了使用声学信息用于快速水下搜索路线规划的可行性.
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