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Interactive Cloth Simulation Accelerated by GPU
Melichar, Vojtěch ; Klepárník, Petr (referee) ; Jaroš, Jiří (advisor)
This master thesis deals with interactive cloth simulation accelerated by GPU. In the first part there is a description of all technologies used during implementation of a program. The second part discusses various simulation methods. It is mainly focused on particle systems as a most used method. These parts are followed by a design of the program, which is implemented as a part of this thesis. The program was implemented in four variants. The first variant is CPU implementation, which was then optimalized with OpenMP. CUDA implementation is based on these implementations. Last variant implemented in this thesis is optimized CUDA implementation. All these implementations are evaluated from compute complexity point of view and suitability for real time graphics.
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Physics Simulation on GPU
Janošík, Ondřej ; Zemčík, Pavel (referee) ; Polok, Lukáš (advisor)
This thesis addresses the issue of rigid body simulation and possibilities of paralellization using GPU. It describes the basics necessary for implementation of basic physics engine for blocks and technologies which can be used for acceleration. In my thesis, I describe approach which allowed me to gradually accellerate physics simulation using OpenCL. Each significant change is described in its own section and includes measurement results with short summary.
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Signal processing using parallel mathematical operations
Polášek, Jaromír ; Ležák, Petr (referee) ; Mžourek, Zdeněk (advisor)
This Bachelor thesis deals with the acceleration of function calculations, using parallel computing mediated by NVDIA graphics cards via CUDA technology. The theoretical part describes the general principles of parallel computing and the basic characteristics and parameters of graphics cards NVDIA. The theoretical part also deals with basic principles of CUDA technology. End of the theoretical part focuses on FFTW and cuFFT libraries. The practical part deals with the comparison of the performance between GPU and CPU functions filter2D and Canny and practical possibilities of accelerating fast convolution calculation. The practical part also describes sample code that was used to compare the performance between GPU and CPU. The results of this program are then plotted and evaluated.
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General Processing on Graphics Processing Units for Industrial Systems
Lukačovič, Martin ; Mašek, Jan (referee) ; Krkoš, Radko (advisor)
The thesis deals with the abilities of graphics processors for GPGPU. It contains historical solutions to contemporary design. There are also described graphics processors from the largest manufacturers of this time, their focus and goals in the future. For algorithms implementation using GPU, there are necessary APIs that offer various possibilities of execution. In addition to the CPU and GPU universal heterogeneous computing, there are alternatives such as FPGA and DSP so it is necessary to consider the price and energy cost. Part of the work is devoted to the communication possibilities with the hardware and advanced memory approaches. For demonstrating parallel computing an implementation of matrix multiplication in OpenCL was realized.
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GPGPU parallel computing
Pacura, Dávid ; Horák, Karel (referee) ; Petyovský, Petr (advisor)
The aim of this trim’s thesis is to reveal possibilities and demonstrate parallelization of computation on graphics processors. The paper presents descriptions of available development tools, and then one of them is selected to implement MD5 encryption algorithm and neural network for optical character recognition. Its performance is then compared to its parallel equivalent for conventional processors. In conclusion, problems encountered during development are described, and ways of avoiding them are discussed.
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Parallel signal processing with help of GPU
Václavík, Jiří ; Frýza, Tomáš (referee) ; Mego, Roman (advisor)
In the introduction, the bachelor thesis outlines the origins of modern graphic processors. The theoretical part of the text describes the minimum of required information from parallel programming model essential to program simple DSP algorithms. The next part elaborate on three common DSP algorithms, finite impulse response filter, naive implementation of discrete cosine transform type II, and fast Fourier transform. To demonstrate parallel capability of GPU, algorithm for JPEG compression was chosen as JPEG compression is favorable because it illustrates both advantages and disadvantages of parallel data processing on GPU, and compromises needed to be considered.
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The algorithms of digital image processing on graphics cards
Bielczyk, Marek ; Lattenberg, Ivo (referee) ; Přinosil, Jiří (advisor)
Purpose of this work is show possibility of using grapichs cart for imaging a video signal. This work is particularly focused on technology CUDA and OpenCL. The solution is first focused on graphics cart and show how has been changed components and how has been changed performaces of graphics cart. Then show CUDA and OpenCL technology itself, and show samples of codes with explain, what which code do. Output of this work is some programs, witch defined for both technology and for both procesors unit. Contribution of this work is show differents between procesors unit, witch can be used to right choose for design your own algorithm.
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Accelerated JPEG Decompression on Graphics Processing Units
Janošík, Ondřej ; Polok, Lukáš (referee) ; Pečiva, Jan (advisor)
This thesis addresses the issue of JPEG decompression, design of algorithms for decompression on graphics cars and their implementation. In more details, it describes specific process of implementation, including possible alternatives and optimizations. It is described in order of JPEG decompression algorithm steps. The aim of this thesis is the reduction of time consumed by uplading textures into graphics unit’s memory using JPEG compressed textures and decompression od the side of graphics card. In addition to time savings, this access reduces processor load, which may be in some cases beneficial.
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