弹性波传播的gpu加速模拟

Kristian Kadlubiak, J. Jaros, B. Treeby
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引用次数: 3

摘要

超声波在骨骼和头骨等硬生物材料中的传播建模具有快速增长的应用领域,例如脑癌治疗计划,深部脑神经刺激和神经调节,以及打开血脑屏障。近年来,我们基于Kelvin-Voigt模型建立了一种新的弹性波传播数值模型,该模型考虑了非均质吸收介质中线性弹性波的比例。虽然,该模型提供了前所未有的保真度,但其计算要求已使现实模拟望而却步。本文介绍了由Nvidia CUDA语言加速的仿真模型的优化版本,并部署在最好的gpu上,包括Piz paint超级计算机中存在的Nvidia P100加速器。与运行在同一GPU上的并行计算工具箱加速的Matlab原型相比,本机CUDA代码的加速达到5.4。这种计算时间的减少使得大规模的治疗计划可以按小时计算。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
GPU-Accelerated Simulation of Elastic Wave Propagation
Modeling of ultrasound waves propagation in hard biological materials such as bones and skull has a rapidly growing area of applications, e.g. brain cancer treatment planing, deep brain neurostimulation and neuromodulation, and opening blood brain barriers. Recently, we have developed a novel numerical model of elastic wave propagation based on the Kelvin-Voigt model accounting for linear elastic wave proration in heterogeneous absorption media. Although, the model offers unprecedented fidelity, its computational requirements have been prohibitive for realistic simulations. This paper presents an optimized version of the simulation model accelerated by the Nvidia CUDA language and deployed on the best GPUs including the Nvidia P100 accelerators present in the Piz Daint supercomputer. The native CUDA code reaches a speed-up of 5.4 when compared to the Matlab prototype accelerated by the Parallel Computing Toolbox running on the same GPU. Such reduction in computation time enables computation of large-scale treatment plans in terms of hours.
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