Thesis Details

Acceleration of 2D Wavelet transform on parallel architectures

Ph.D. Thesis Student: Kula Michal Academic Year: 2021/2022 Supervisor: Zemčík Pavel, prof. Dr. Ing.
Czech title
Akcelerace 2D Vlnkové transformace na paralelních architekturách

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.


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

Degree Programme
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