Publication detail

GPU-accelerated Simulation of Elastic Wave Propagation

KADLUBIAK, K. JAROŠ, J. TREEBY, B.

Original Title

GPU-accelerated Simulation of Elastic Wave Propagation

Type

presentation, poster

Language

English

Original Abstract

Modeling of ultrasound waves propagation in hard biological materials such as bones and the skull has a rapidly growing area of applications, e.g., brain cancer treatment planning, 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 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 and exclusion of Matlab from the critical path enables to compute complex treatment plans in terms of hours.

Keywords

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

Authors

KADLUBIAK, K.; JAROŠ, J.; TREEBY, B.

Released

10. 7. 2018

Location

Frankfurt am Main

Pages to

1

Pages count

1

URL

https://www.fit.vut.cz/research/publication/11775/

BibTex

@misc{BUT169474,
  author="Kristián {Kadlubiak} and Jiří {Jaroš} and Bradley {Treeby}",
  title="GPU-accelerated Simulation of Elastic Wave Propagation",
  year="2018",
  pages="1",
  address="Frankfurt am Main",
  url="https://www.fit.vut.cz/research/publication/11775/",
  note="presentation, poster"
}