Publication Details

GPU-accelerated Simulation of Elastic Wave Propagation

KADLUBIAK Kristián, JAROŠ Jiří and TREEBY Bradley E. GPU-accelerated Simulation of Elastic Wave Propagation. In: The 2018 International Conference on High Performance Computing & Simulation (HPCS 2018). Orleans: IEEE Computer Society, 2018, pp. 188-195. ISBN 978-1-5386-7879-4. Available from: https://ieeexplore.ieee.org/document/8514349
Czech title
Akcelerace simulace šíření ultrazvuku v kostech pomoci GPU
Type
conference paper
Language
english
Authors
Kadlubiak Kristián, Ing. (DCSY FIT BUT)
Jaroš Jiří, doc. Ing., Ph.D. (DCSY FIT BUT)
Treeby Bradley E. (UCL)
URL
Keywords

Ultrasound simulations, Elastic model, Pseudospectral methods, k-Wave toolbox, GPU

Abstract

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.

Published
2018
Pages
188-195
Proceedings
The 2018 International Conference on High Performance Computing & Simulation (HPCS 2018)
Conference
The 2018 International Conference on High Performance Computing & Simulation (HPCS 2018), Orléans, France, FR
ISBN
978-1-5386-7879-4
Publisher
IEEE Computer Society
Place
Orleans, FR
DOI
UT WoS
000450677700028
EID Scopus
BibTeX
@INPROCEEDINGS{FITPUB11572,
   author = "Kristi\'{a}n Kadlubiak and Ji\v{r}\'{i} Jaro\v{s} and E. Bradley Treeby",
   title = "GPU-accelerated Simulation of Elastic Wave Propagation",
   pages = "188--195",
   booktitle = "The 2018 International Conference on High Performance Computing \& Simulation (HPCS 2018)",
   year = 2018,
   location = "Orleans, FR",
   publisher = "IEEE Computer Society",
   ISBN = "978-1-5386-7879-4",
   doi = "10.1109/HPCS.2018.00044",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/11572"
}
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