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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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Object Detection on GPU
Macenauer, Pavel ; Polok, Lukáš (referee) ; Juránek, Roman (advisor)
This thesis addresses the topic of object detection on graphics processing units. As a part of it, a system for object detection using NVIDIA CUDA was designed and implemented, allowing for realtime video object detection and bulk processing. Its contribution is mainly to study the options of NVIDIA CUDA technology and current graphics processing units for object detection acceleration. Also parallel algorithms for object detection are discussed and suggested.
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Vertex and Pixel Shaders OpenGL Visualisation of Medical 3D Image Data
Vaďura, Jiří ; Španěl, Michal (referee) ; Kršek, Přemysl (advisor)
This thesis deals with accelerated 3D rendering of medical data, e.g. computed tomography, using a graphics processor and OpenGL library. Raw data slices are send to graphic memory and rendered by a ray-casting algorithm. The goal of this project is high quality visual output and full user interaction at the same time. Multiple rendering modes are avaiable to the user: MIP, X-Ray simulation and realistic shading.
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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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Vertex and Pixel Shaders OpenGL Visualisation of Medical 3D Image Data
Vaďura, Jiří ; Španěl, Michal (referee) ; Kršek, Přemysl (advisor)
This thesis deals with accelerated 3D rendering of medical data, e.g. computed tomography, using a graphics processor and OpenGL library. Raw data slices are send to graphic memory and rendered by a ray-casting algorithm. The goal of this project is high quality visual output and full user interaction at the same time. Multiple rendering modes are avaiable to the user: MIP, X-Ray simulation and realistic shading.
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Benchmark for OpenGL ES 3.0 Devices
Kimer, Tomáš ; Herout, Adam (referee) ; Polok, Lukáš (advisor)
This thesis deals with the development of benchmark application for the OpenGL ES 3.0 devices using the realistic real-time rendering of 3D scenes. The first part covers the history and new features of the OpenGL ES 3.0 graphics library. Next part briefly describes selected algorithms for the realistic real-time rendering of 3D scenes which can be implemented using the new features of the discussed library. The design of benchmark application is covered next, including the design of online result database containing detailed device specifications. The last part covers implementation on Android and Windows platforms and the testing on mobile devices after publishing the application on Google Play. Finally, the results and possibilites of further development are discussed.
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Object Detection on GPU
Macenauer, Pavel ; Polok, Lukáš (referee) ; Juránek, Roman (advisor)
This thesis addresses the topic of object detection on graphics processing units. As a part of it, a system for object detection using NVIDIA CUDA was designed and implemented, allowing for realtime video object detection and bulk processing. Its contribution is mainly to study the options of NVIDIA CUDA technology and current graphics processing units for object detection acceleration. Also parallel algorithms for object detection are discussed and suggested.
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Solving vehicle routing problems and algorithm implementation on GPU
Hájek, Jan ; Fábry, Jan (advisor) ; Černý, Michal (referee)
A very wide-ranging subgroup of vehicle routing problems from the graph theory is a common and frequent problem handled daily by transport companies, airline businesses, hi-tech companies with planning drilling of printed circuits boards or other companies from different industries. During numerous previous researches of these problems a lot of analyses were made and many solutions proposed -- of which an outline is in this paper. Some of them giving better or worse results in longer or shorter computing time. In spite of the fact that the processors and new technologies performance is increasing, with some algorithms we cannon compute the result in a reasonable time. That is why this paper is asking a question, if there can be found a fitting algorithm which could be applied on different and faster processing unit structures so it could be ensured a multiple computing speed increase so far. The analysis was carried out using computer experiments on a new build and implemented branch and bound algorithm with a matrix rate reduction.
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