Publication detail

Spectral Domain Decomposition Using Local Fourier Basis: Application to Ultrasound Simulation on a Cluster of GPUs

JAROŠ, J. VAVERKA, F. TREEBY, B.

Original Title

Spectral Domain Decomposition Using Local Fourier Basis: Application to Ultrasound Simulation on a Cluster of GPUs

Type

presentation, poster

Language

English

Original Abstract

The simulation of ultrasound wave propagation through biological tissue has a wide range of practical applications. However, large grid sizes are generally needed to capture the phenomena of interest. Here, a novel approach to reduce the computational complexity is presented. The model uses an accelerated k-space pseudospectral method which enables more than one hundred GPUs to be exploited to solve problems with more than 3 x 10^9 grid points. The classic communication bottleneck of Fourier spectral methods, all-to-all global data exchange, is overcome by the application of domain decomposition using local Fourier basis. Compared to global domain decomposition, for a grid size of 1536 x 1024 x 2048, this reduces the simulation time by a factor of 7.5 and the simulation cost by a factor of 3.8.

Keywords

Local domain decomposition, k-Wave toolbox, GPU

Authors

JAROŠ, J.; VAVERKA, F.; TREEBY, B.

Released

31. 7. 2016

Location

Salt Lake City

Pages from

1

Pages to

1

Pages count

1

URL

https://www.fit.vut.cz/research/publication/11773/

BibTex

@misc{BUT169473,
  author="Jiří {Jaroš} and Filip {Vaverka} and Bradley {Treeby}",
  title="Spectral Domain Decomposition Using Local Fourier Basis: Application to Ultrasound Simulation on a Cluster of GPUs",
  year="2016",
  pages="1--1",
  address="Salt Lake City",
  url="https://www.fit.vut.cz/research/publication/11773/",
  note="presentation, poster"
}

Documents

SC2016.pdf