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GLSL Based Engine
Šlesár, Michal ; Karas, Matej (referee) ; Milet, Tomáš (advisor)
Creating a graphical application running on a GPU typically involves configuring the GPU, creating and configuring the required objects, and then implementing the application's behavior itself. The aim of this work is to create a tool that would automate this configuration using the OpenGL application interface. As a result, the user would not have to waste time configuring and could quickly create and prototype graphics applications. In addition, the created tool adds new functionality to the application that is not native or supported on the GPU, such as working with a mouse and keyboard.
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GPU Image Processing Library
Čermák, Michal ; Španěl, Michal (referee) ; Smrž, Pavel (advisor)
This work is concerned with architecture of recent Nvidia graphics cards and application programming interface CUDA. That is used to create accelerated image processing library. It place emphasis on testing performance gain compassion with high optimized and used OpenCv library.
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Automated Testing of Image Compressions
Matela, Vít ; Madzin, Matúš (referee) ; Luhan, Jan (advisor)
This thesis deals with the problem of automated testing software for image and video compression developed by the company Comprimato. This work was analyzed in the current testing environment in the company. Based on the resaults of this analysis, I designed and implemented a new automated testing system. Also included is a summary of the economic impact and recommendations for the future purchase of a new test hardware.
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GPU Raytracer for OSG
Kantor, Jiří ; Horváth, Zsolt (referee) ; Starka, Tomáš (advisor)
This work describes creation of a simple raytracer for OpenSceneGraph, which performs its operations on the graphics card. Things, that needed to be done in OpenSceneGraph in order to pass data to the GPU and also several ray-triangle intersection methods, are described in this work.
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Pixel Interpolation Methods
Mintěl, Tomáš ; Řezníček, Ivo (referee) ; Španěl, Michal (advisor)
This master's thesis deals with acceleration of pixel interpolation methods using the GPU and NVIDIA (R) CUDA TM architecture. Graphic output is represented by a demonstrational application for geometrical image transforms using chosen interpolation method. Time critical parts of the code are moved on the GPU and executed in parallel. There are used highly optimized routines from the OpenCV library, made by the Intel company for an image and video processing.
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Exploitation of Graphics Processor as Accelerator - OpenCL Technology
Hrubý, Michal ; Jošth, Radovan (referee) ; Zemčík, Pavel (advisor)
This work deals with the OpenCL technology and its use for the task of object detection. The introduction is devoted to description of OpenCL fundamentals, as well as basic theory of object detection. Next chapter of the work is analysis, with design proposal which takes into consideration the possibilities of OpenCL. Further, there's description of implementation of detection application and experimental evaluation of detector's performance. The last chapter summarizes the achieved results.
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Acceleration of Python Applications on GPU
Turcel, Matej ; Jaroš, Jiří (referee) ; Jaroš, Marta (advisor)
Compiled languages, such as C++, are conventionally used in the field of high performance computing (HPC). However, scripting languages like Python are more convenient and application development is quicker and simpler in these languages. This work compares C++ and Python in terms of the possibilities of computation acceleration on graphics card. Its aim is to show that scripting languages are also suitable for the implementation of HPC applications, and point out their advantages and disadvantages compared to compiled languages. To this purpose, a number of programs have been implemented. Several smaller programs for testing purposes and a larger one, implementing a computationally intensive problem. The implementations of these programs in C++ and Python are compared in terms of performance, as well as difficulty of implementation.
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Voltage regulator module for graphic card repair
Kožuch, Matúš ; Steinbauer, Miloslav (referee) ; Szabó, Zoltán (advisor)
The topic of this thesis is the design and implementation of multi-phase switching power supply of low voltage and high current which will be used for graphics card repair. Specifications of the power supply feature a minimal output current of 150A, an output voltage ranging from 0,9 up to 1,5V that is adjustable using PWM VID or set to a constant level and fully passive cooling. The thesis also covers the methods used for overcurrent and overvoltage protection followed by the basic topologies of dc-dc converters, their design and component selection. The designed external regulator is equipped with eight phase integrated controller, which senses the output voltage and current of each phase and balances them, while also providing an overcurrent and short circuit protection.
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GLSL Based Engine
Šlesár, Michal ; Karas, Matej (referee) ; Milet, Tomáš (advisor)
Creating a graphical application running on a GPU typically involves configuring the GPU, creating and configuring the required objects, and then implementing the application's behavior itself. The aim of this work is to create a tool that would automate this configuration using the OpenGL application interface. As a result, the user would not have to waste time configuring and could quickly create and prototype graphics applications. In addition, the created tool adds new functionality to the application that is not native or supported on the GPU, such as working with a mouse and keyboard.
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Acceleration of Python Applications on GPU
Turcel, Matej ; Jaroš, Jiří (referee) ; Jaroš, Marta (advisor)
Compiled languages, such as C++, are conventionally used in the field of high performance computing (HPC). However, scripting languages like Python are more convenient and application development is quicker and simpler in these languages. This work compares C++ and Python in terms of the possibilities of computation acceleration on graphics card. Its aim is to show that scripting languages are also suitable for the implementation of HPC applications, and point out their advantages and disadvantages compared to compiled languages. To this purpose, a number of programs have been implemented. Several smaller programs for testing purposes and a larger one, implementing a computationally intensive problem. The implementations of these programs in C++ and Python are compared in terms of performance, as well as difficulty of implementation.
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