GPU-accelerated Simulation of Elastic Wave Propagation

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F18%3APU130694" target="_blank" >RIV/00216305:26230/18:PU130694 - isvavai.cz</a>

Výsledek na webu

<a href="https://ieeexplore.ieee.org/document/8514349" target="_blank" >https://ieeexplore.ieee.org/document/8514349</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/HPCS.2018.00044" target="_blank" >10.1109/HPCS.2018.00044</a>

Jazyk výsledku

angličtina

Název v původním jazyce

GPU-accelerated Simulation of Elastic Wave Propagation

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

GPU-accelerated Simulation of Elastic Wave Propagation

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

R - Projekt Ramcoveho programu EK

Rok uplatnění

2018

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings - 2018 International Conference on High Performance Computing and Simulation, HPCS 2018

ISBN

978-1-5386-7878-7

ISSN

—

e-ISSN

—

Počet stran výsledku

8

Strana od-do

188-195

Název nakladatele

IEEE Computer Society

Místo vydání

Orleans

Místo konání akce

Orléans, France

Datum konání akce

16. 7. 2018

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000450677700028