Publication Details

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

JAROŠ Jiří, VAVERKA Filip and TREEBY Bradley E. Spectral Domain Decomposition Using Local Fourier Basis: Application to Ultrasound Simulation on a Cluster of GPUs. Salt Lake City, 2016.
Type
presentation,poster
Language
english
Authors
Jaroš Jiří, doc. Ing., Ph.D. (DCSY FIT BUT)
Vaverka Filip, Ing. (DCSY FIT BUT)
Treeby Bradley E. (UCL)
Keywords

Local domain decomposition, k-Wave toolbox, GPU

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.

Published
2016
Pages
1
Conference
SuperComputing 2016, Salt Palace Convention Center 100 South West Temple Salt Lake City, UT 84101, US, US
Place
Salt Lake City, US
Files
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