Publication Details
GPU-Accelerated simulation of elastic wave propagation
Ultrasound simulations, Elastic model, Pseudospectral methods, k-Wave toolbox,
GPU
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.
@inproceedings{BUT155002,
author="Kristián {Kadlubiak} and Jiří {Jaroš} and Bradley {Treeby}",
title="GPU-Accelerated simulation of elastic wave propagation",
booktitle="Proceedings - 2018 International Conference on High Performance Computing and Simulation, HPCS 2018",
year="2018",
pages="188--195",
publisher="IEEE Computer Society",
address="Orleans",
doi="10.1109/HPCS.2018.00044",
isbn="978-1-5386-7878-7",
url="https://ieeexplore.ieee.org/document/8514349"
}