Thesis Details

Acceleration of 2D Wavelet transform on parallel architectures

Ph.D. Thesis Student: Kula Michal Academic Year: 2022/2023 Supervisor: Zemčík Pavel, prof. Dr. Ing.
Czech title
Akcelerace 2D Vlnkové transformace na paralelních architekturách
Language
English
Abstract

Although a 2D discrete wavelet transform has been widely studied during the last two decades, some directions were not examined from all points of view. One of these directions is a technique for calculating such transform that has various balanced barriers, arithmetic operations, and memory usage focused on various architectures. This thesis shows several new methods of calculation of such transform with variously balanced operations. These methods are widely described and their behaviour is evaluated on several graphics adapters using GPGPU, graphics pipeline, and multicore CPU architectures using OpenMP.

Keywords

Discrete wavelet transform, seamless transform, 2D scheme, GPU, GPGPU, CPU, parallelization, optimization

Department
Degree Programme
Computer Science and Engineering, Field of Study Computer Science and Engineering
Files
Status
defended
Date
14 September 2022
Citation
KULA, Michal. Acceleration of 2D Wavelet transform on parallel architectures. Brno, 2022. Ph.D. Thesis. Brno University of Technology, Faculty of Information Technology. 2022-09-14. Supervised by Zemčík Pavel. Available from: https://www.fit.vut.cz/study/phd-thesis/815/
BibTeX
@phdthesis{FITPT815,
    author = "Michal Kula",
    type = "Ph.D. thesis",
    title = "Acceleration of 2D Wavelet transform on parallel architectures",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2022,
    location = "Brno, CZ",
    language = "english",
    url = "https://www.fit.vut.cz/study/phd-thesis/815/"
}
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