图形处理单元加速了两个维的海尔姆霍尔茨方程解答器,使用传统的波恩序列公式用于生物医学超声波中的线性和非线性介质
Ujjal Mandal1, Jagpreet Singh2, Ben T Cox3
1Department of Applied Sciences, Indian Institute of Information Technology Allahabad, Jhalwa, Prayagraj 211015, Uttar Pradesh, India.
The Journal of the Acoustical Society of America
|March 5, 2026
概括
传统的Born系列 (TBS) 方法有效地解决了声波传播问题. 对于复杂的媒体模拟,GPU加速使这种方法显著更快.
科学领域:
- 声学 声学 在声学方面
- 计算物理 计算物理
- 数字分析 数字分析
背景情况:
- 在各种科学和工程领域,声波传播建模至关重要.
- 解决不均的赫尔姆霍尔茨方程带来了重大的计算挑战.
- 对于复杂的波传播场景,现有的方法可能缺乏效率.
研究的目的:
- 用传统的波恩序列 (TBS) 方法数量解决不均的赫尔姆霍尔茨方程.
- 与现有方法相比,评估TBS方法的准确性和计算速度.
- 为了证明GPU启用实现加速模拟的有效性.
主要方法:
- 传统的Born系列 (TBS) 方法被用来解决不均的赫尔姆霍尔茨方程.
- 在均质,吸收,分散和非线性介质中进行声波传播的模拟.
- 为TBS程序开发了一个支持图形处理器 (GPU) 的CUDA C代码.
主要成果:
- TBS方法与模拟压力场的k波工具箱表现出了很好的一致性.
- 在规范压力振幅的最大绝对误差为均的,无损的介质约为2%.
- 支持GPU的TBS代码比k-wave快102倍,比CPUC代码快4倍.
结论:
- 传统的波恩序列方法对于解决不均的赫尔姆霍尔茨方程是有效的.
- 通过GPU实现,声波传播模拟的计算时间大大缩短.
- TBS方法为建模声学现象提供了一个快速而准确的方法.
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