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Simulation of Heat Diffusion in the Brain Using High-Level GPGPU Techniques
Krbila, Martin ; Kadlubiak, Kristián (referee) ; Jaroš, Jiří (advisor)
This master's thesis deals with acceleration of heat diffusion simulation using graphics cards. It describes an approach to acceleration of an existing implementation in Matlab, which is a part of k-Wave package. Various high-level as well as low-level libraries for GPU programming are introduced here and their strengths and weaknesses compared. A complete implementation of the simulation on GPU was created as a part of this work. This implementation achieves around hundredfold speedup over the existing CPU solution in Matlab. A module for computation of discrete trigonometric transformations on graphics card was created to accelerate simulation with various boundary conditions. This module achieves around ten times speedup over the best CPU implementation. Another output of this thesis is a performance comparison of several implementations of basic diffusion simulation each using a different GPGPU technique.
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Room Acoustics Simulation Application
Krbila, Martin ; Szőke, Igor (referee) ; Mošner, Ladislav (advisor)
This thesis deals with simulation of room acoustics. The first part of this thesis contains theoretical description of existing aproaches to simulation of acoustics and compares their strenghts and weaknesses. For the purpose of impulse response calculation, several geometrical methods were implemented, such as ray tracing, image method and a combination of those two methods. Application with graphical and text user interface was created, to allow simulation of rooms with arbitrary geometry. The application also allows user to obtain impulse response in a form of a sound file, to visualize the results and the process of sound simulation and to perform auralization. The results of the simulation were compared with measured impulse responses of real rooms. The comparison showed, that the hybrid method is the most accurate of methods implemented in this thesis, and that the best results are achieved by simulation of empty medium-sized or large rooms.
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Simulation of Heat Diffusion in the Brain Using High-Level GPGPU Techniques
Krbila, Martin ; Kadlubiak, Kristián (referee) ; Jaroš, Jiří (advisor)
This master's thesis deals with acceleration of heat diffusion simulation using graphics cards. It describes an approach to acceleration of an existing implementation in Matlab, which is a part of k-Wave package. Various high-level as well as low-level libraries for GPU programming are introduced here and their strengths and weaknesses compared. A complete implementation of the simulation on GPU was created as a part of this work. This implementation achieves around hundredfold speedup over the existing CPU solution in Matlab. A module for computation of discrete trigonometric transformations on graphics card was created to accelerate simulation with various boundary conditions. This module achieves around ten times speedup over the best CPU implementation. Another output of this thesis is a performance comparison of several implementations of basic diffusion simulation each using a different GPGPU technique.
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Room Acoustics Simulation Application
Krbila, Martin ; Szőke, Igor (referee) ; Mošner, Ladislav (advisor)
This thesis deals with simulation of room acoustics. The first part of this thesis contains theoretical description of existing aproaches to simulation of acoustics and compares their strenghts and weaknesses. For the purpose of impulse response calculation, several geometrical methods were implemented, such as ray tracing, image method and a combination of those two methods. Application with graphical and text user interface was created, to allow simulation of rooms with arbitrary geometry. The application also allows user to obtain impulse response in a form of a sound file, to visualize the results and the process of sound simulation and to perform auralization. The results of the simulation were compared with measured impulse responses of real rooms. The comparison showed, that the hybrid method is the most accurate of methods implemented in this thesis, and that the best results are achieved by simulation of empty medium-sized or large rooms.
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