发表机构
University of Padova（帕多瓦大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本研究基于开源软件specfem3d和k-wave，将k-wave移植到C++以实现多GPU加速，对宽吻海豚头部的弹性-声波耦合传播进行HPC建模，两种求解器在高分辨率下归一化相关超0.99，验证了该模拟框架的有效性。
AI 中文摘要
准确的生物介质中声波传播数值模型是众多应用的重要工具，涵盖从医学物理到人类或其他动物听觉系统研究等领域。我们采用开源软件包\textsc{specfem3d}（基于谱元法）和\textsc{{\bf k}-wave}（基于伪谱法），对宽吻海豚（Tursiops truncatus）头部解剖结构中的高频弹性波与声波传播进行建模。为实现足够高的性能，我们将后者求解器移植到C++中，通过三维快速傅里叶变换的分块分解方法实现多GPU CUDA支持。由于两种方法在传播介质离散化及内部（尤其是流-固）界面处理方式上存在根本差异，不同方法间建模信号的相似性是衡量模型准确性的合理指标。我们使用两种求解器，将平面波（时间上为不同中心频率20-100 kHz的四周期正弦脉冲）数值传播至基于计算机断层扫描的解剖结构模型中，并在吻突前方和右侧内耳位置“记录”声波以作比较。我们在高保真高性能计算（HPC）集群上成功对两种求解器进行交叉验证，发现两种求解器的结果稳定性随空间分辨率的提高而提升；在最高分辨率下，两种方法表现出极佳的一致性，在整个20-100 kHz频率范围内的归一化相关系数超过0.99。总体而言，我们的结果提供了一个经过验证的生物介质中波传播HPC模拟框架，具有更广泛的应用意义，例如用于生物声呐研究、听觉生物力学及医学超声领域。
英文摘要
Accurate numerical models of sound propagation through biological media are an important tool for many applications, from medical physics to studying the auditory system of humans or other animals. We model high-frequency elastic and acoustic wave propagation through the head anatomy of a common bottlenose dolphin (Tursiops truncatus), by means of the open-source software packages \textsc{specfem3d}, based on the spectral-element method, and \textsc{{\it k}-wave}, based on the pseudospectral method. To achieve sufficiently high performance, we ported the latter solver to C++, for Multi-GPU CUDA support via the slab-decomposition of three-dimensional Fast Fourier Transform approach. Because the two schemes differ fundamentally in how the propagation medium is discretized and internal (in particular fluid-solid) interfaces are treated, similarity between modeled signals across methods is a legitimate measure of model accuracy. Plane waves, depending on time like four-cycle sinusoidal bursts of varying central frequency (20--100 kHz), are numerically propagated through a computed-tomography-based anatomy model using both solvers. The sound is ``recorded'' in front of the rostrum and at the right inner-ear locations for comparison. We successfully cross-validate both solvers on high-fidelity High-Performance Computing (HPC) clusters. We find that the stability of results from both solvers grows as the corresponding spatial resolution is refined. At their highest resolutions, the two methods show excellent agreement, with normalized correlation exceeding 0.99 across the entire 20--100 kHz frequency range. Together, our results provide a validated HPC-simulation framework for wave propagation in biological media, with broader implications, e.g., for biosonar research, auditory biomechanics, and medical ultrasound.
