GPU-Accelerated Simulation of Elastic Wave Propagation

被引:0
|
作者
Kadlubiak, Kristian [1 ]
Jaros, Jiri [1 ]
Treeby, Bredly E. [2 ]
机构
[1] Brno Univ Technol, Fac Informat Technol, Ctr Excellence IT4Innovat, Brno, Czech Republic
[2] UCL, Dept Med Phys & Biomed Engn, London, England
来源
PROCEEDINGS 2018 INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE COMPUTING & SIMULATION (HPCS) | 2018年
基金
英国工程与自然科学研究理事会; 欧盟地平线“2020”;
关键词
Ultrasound simulations; Elastic model; Pseudospectral methods; k-Wave; CUDA; GPU; INTENSITY FOCUSED ULTRASOUND;
D O I
10.1109/HPCS.2018.00044
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
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.
引用
收藏
页码:188 / 195
页数:8
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