Spectral Domain Decomposition Using Local Fourier Basis: Application to Ultrasound Simulation on a Cluster of GPUs
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F16%3APU121622" target="_blank" >RIV/00216305:26230/16:PU121622 - isvavai.cz</a>
Result on the web
<a href="http://superfri.org/superfri/article/download/108/199" target="_blank" >http://superfri.org/superfri/article/download/108/199</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.14529/jsfi1603" target="_blank" >10.14529/jsfi1603</a>
Alternative languages
Result language
angličtina
Original language name
Spectral Domain Decomposition Using Local Fourier Basis: Application to Ultrasound Simulation on a Cluster of GPUs
Original language description
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*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.
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
V - Vyzkumna aktivita podporovana z jinych verejnych zdroju
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
International Journal of Supercomputing Frontiers and Innovations
ISSN
2313-8734
e-ISSN
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Volume of the periodical
3
Issue of the periodical within the volume
3
Country of publishing house
RU - RUSSIAN FEDERATION
Number of pages
16
Pages from-to
39-54
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-85038374051