Kadlubiak, K;
Jaros, J;
Treeby, BE;
(2018)
GPU-Accelerated Simulation of Elastic Wave Propagation.
In: Smari, WW and Zinedine, K, (eds.)
Proceedings of 2018 International Conference on High Performance Computing & Simulation (HPCS).
(pp. pp. 188-195).
IEEE: Orleans, France.
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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.
Type: | Proceedings paper |
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Title: | GPU-Accelerated Simulation of Elastic Wave Propagation |
Event: | International Conference on High Performance Computing & Simulation (HPCS) |
Location: | orelans, FRANCE |
Dates: | 16 July 2018 - 20 July 2018 |
ISBN: | 978-1-5386-7879-4 |
ISBN-13: | 978-1-5386-7878-7 |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1109/HPCS.2018.00044 |
Publisher version: | https://ieeexplore.ieee.org/document/8514349 |
Language: | English |
Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
Keywords: | Ultrasound simulations; Elastic model; Pseudospectral methods; k-Wave; CUDA; GPU |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng |
URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10066825 |
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