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Test Planning Tool Extension for Distributed Systems
Mészáros, Filip ; Ráb, Jaroslav (referee) ; Ščuglík, František (advisor)
This bachelor thesis is about automatical software testing using the testing scheduler. It describes creation of the extension for the existing testing scheduler, so it will be possible to split effectively a group of tests to segments, that will be executed independently on each other. Tests are splitted according to the common characteristics of the enviroment, that need to be prepared for each test, and according to the dependencies between the tests. Furthermore, it describes what optimizations are used for splitting of the tests to subsets. Each subset of the tests runs on a standalone testing system, so the time needed for succesful completion of testing with the given set of tests is reduced. Created tool is succesfully used during everyday testing of the several products in the Acision company, to which was this tool made.
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Implemenation of a Game Theory Library
Židek, Stanislav ; Peringer, Petr (referee) ; Hrubý, Martin (advisor)
Game theory has become very powerful tool for modelling decision-making situations of rational players. However, practical applications are strongly limited by the size of particular game, which is connected to the computational power of computers nowadays. Aim of this master's thesis is to design and implement a library, which would be able to find correlated equilibria in as complex non-cooperative games as possible.
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High data rate image processing using CUDA/OpenCL
Sedláček, Filip ; Klečka, Jan (referee) ; Honec, Peter (advisor)
The main objective of this research is to propose optimization of the defect detection algorithm in the production of nonwoven textile. The algorithm was developed by CAMEA spol. s.r.o. As a consequence of upgrading the current camera system to a more powerful one, it will be necessary to optimize the current algorithm and choose the hardware with the appropriate architecture on which the calculations will be performed. This work will describe a usefull programming techniques of CUDA software architecture and OpenCL framework in details. Using these tools, we proposed to implement a parallel equivalent of the current algorithm, describe various optimization methods, and we designed a GUI to test these methods.
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Online interest point detector
Přibyl, Jakub ; Rajnoha, Martin (referee) ; Mašek, Jan (advisor)
This thesis focuses on online learning detector for long-term tracking of object in video sequence. The object is defined by a bounding box. The text describes different parts of the detector: object tracking, object detection and online learning detector. The main contribution of this work is creating extension of the OpenTLD program for parallel detection and tracking of multiple objects. The parallelization is then compared on two practical examples and the processor's impact on detection is compared. The best results were achieved with parallelization, where all objects were detected. The most accurate detection was in the case of sufficiently learned objects with the smallest shape change.
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Semantic Enrichment Component
Doležal, Jan ; Otrusina, Lubomír (referee) ; Dytrych, Jaroslav (advisor)
This master's thesis describes Semantic Enrichment Component (SEC), that searches entities (e.g., persons or places) in the input text document and returns information about them. The goals of this component are to create a single interface for named entity recognition tools, to enable parallel document processing, to save memory while using the knowledge base, and to speed up access to its content. To achieve these goals, the output of the named entity recognition tools in the text was specified, the tool for storing the preprocessed knowledge base into the shared memory was implemented, and the client-server scheme was used to create the component.
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Usage of parallel computing in MATLAB for image processing
Prišť, Lukáš ; Rajmic, Pavel (referee) ; Špiřík, Jan (advisor)
This thesis examines the use of parallel MATLAB programing for image processing using available libraries and functions. The theoretical part compares the differences between the parallel and the usual sequential approach, different kinds of parallelization, the need for change of communication in parallel systems. This is later used for implementing parallel functions and comparing their effectivity to their sequential counterparts.
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Parallelization of Ray Tracing
Čižek, Martin ; Juránek, Roman (referee) ; Herout, Adam (advisor)
Ray tracing is widely used technique for realistic rendering of computer scenes. Its major drawback is time needed to compute the image, therefore it's usually parallelized. This thesis describes parallelization and ray tracing in general. It explains the possibility of how can be ray tracing parallelized as well as it defines the problems which may occur during the process. The result is parallel rendering application which uses selected ray tracing software and measurement of how successful this application is.
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Acceleration of Lattice-Boltzmann Algorithms for Bloodflow Modeling
Kompová, Radmila ; Kešner, Filip (referee) ; Jaroš, Jiří (advisor)
This thesis aims to explore possible implementations and optimizations of the lattice-Boltzmann method. This method allows modeling of fluid flow using a simulation of fictive particles. The thesis focuses on possible improvements of the existing tool HemeLB which is designed and optimized for bloodflow modeling. Several vectorization and paralellization approaches that could be included in this tool are explored. An application focused on comparing chosen algorithms including optimizations for the lattice-Boltzmann method was implemented as a part of the thesis. A group of tests focused on comparing this algorithms according to performance, cache usage and overall memory usage was performed. The best performance achieved was 150 millions of lattice site updates per second.
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Parallelisation of Ultrasound Simulations on Multi-GPU Clusters
Dujíček, Aleš ; Kula, Michal (referee) ; Jaroš, Jiří (advisor)
This work is part of the k-Wave project, which is a toolbox designed for time ultrasound simulations in complex and heterogeneous media. The simulation functions are based on the k-space pseudospectral method. The goal of this work is to compute these simulations on graphics cards using local domain decompostion. Thanks to decomposition we could compute these simulations faster, and on larger data grids. The main goal of this work is to achieve efficiency and scalability.
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