Publication Details

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

VAVERKA, F.; TREEBY, B.; JAROŠ, J. Running Large-Scale Ultrasound Simulations on Piz Daint with 512 Pascal GPUs. Denver: 2017. p. 1 (1 s.).
Type
presentation, poster
Language
English
Authors
Vaverka Filip, Ing., Ph.D.
Treeby Bradley
Jaroš Jiří, doc. Ing., Ph.D. (DCSY)
Keywords

Local domain decomposition, k-Wave toolbox, GPU

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.

Published
2017
Pages
1–1
Place
Denver
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"
}
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