Thesis Details

Paralelizace ultrazvukových simulací pomocí akcelerátoru Intel Xeon Phi

Master's Thesis Student: Vrbenský Andrej Academic Year: 2014/2015 Supervisor: Jaroš Jiří, doc. Ing., Ph.D.
English title
Parallelisation of Ultrasound Simulations on Intel Xeon Phi Accelerator
Language
Czech
Status
defended, grade B
Date
24 June 2015
Reviewer
Department
Degree Programme
Field of Study
Keywords
coprocessor, Intel Xeon Phi, k-Wave, OpenMP, parallelism, simulation, ultrasound, vectorization, FFT
Abstract

Nowadays, the simulation of ultrasound acoustic waves has a wide range of practical usage. As one of them we can name the simulation in realistic tissue media, which is successfully used in medicine. There are several software applications dedicated to perform such simulations. k-Wave is one of them. The computational difficulty of the simulation itself is very high, and this leaves a space to explore new speed-up methods. In this master's thesis, we proposed a way to speed-up the simulation based on parallelization using Intel Xeon Phi accelerator. The accelerator contains large amount of cores and an extra-wide vector unit, and therefore, is ideal for purpose of parallelization and vectorization. The implementation is using OpenMP version 4.0, which brings some new options such as explicit vectorization. Results were measured during extensive experiments.

Citation
VRBENSKÝ, Andrej. Paralelizace ultrazvukových simulací pomocí akcelerátoru Intel Xeon Phi. Brno, 2015. Master's Thesis. Brno University of Technology, Faculty of Information Technology. 2015-06-24. Supervised by Jaroš Jiří. Available from: https://www.fit.vut.cz/study/thesis/17434/
BibTeX
@MASTERSTHESIS{FITMT17434,
    author = "Andrej Vrbensk\'{y}",
    type = "Master's thesis",
    title = "Paralelizace ultrazvukov\'{y}ch simulac\'{i} pomoc\'{i} akceler\'{a}toru Intel Xeon Phi",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2015,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/17434/"
}
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