Publication detail

Running Large-Scale Ultrasound Simulations on Piz Daint with 512 Pascal GPUs

VAVERKA, F. TREEBY, B. JAROŠ, J.

Original Title

Running Large-Scale Ultrasound Simulations on Piz Daint with 512 Pascal GPUs

Type

presentation, poster

Language

English

Original Abstract

Ultrasound simulation is a critical component of model-based treatment planning for ultrasound therapy. However, the domains are typically thousands of wavelengths in size, leading to large-scale numerical models with 10s of billions of unknowns. This paper presents a novel local Fourier basis domain decomposition for full-wave ultrasound propagation simulations with a custom bell function which ensures that the numerical error stays below 0.1% while enabling almost ideal strong scaling. Realistic benchmarks with 512 Nvidia P100 GPUs in the best EU supercomputer Piz Daint achieved efficiency between 90 and 100% with a speed-up over 100 and computational cost reduction by a factor of 12 compared to 1024 Haswell cores.

Keywords

Local domain decomposition, k-Wave toolbox, GPU

Authors

VAVERKA, F.; TREEBY, B.; JAROŠ, J.

Released

31. 7. 2017

Location

Denver

Pages from

1

Pages to

1

Pages count

1

URL

https://www.fit.vut.cz/research/publication/11774/

BibTex

@misc{BUT168711,
  author="Filip {Vaverka} and Bradley {Treeby} and Jiří {Jaroš}",
  title="Running Large-Scale Ultrasound Simulations on Piz Daint with 512 Pascal GPUs",
  year="2017",
  pages="1--1",
  address="Denver",
  url="https://www.fit.vut.cz/research/publication/11774/",
  note="presentation, poster"
}