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Use of Heuristics for Password Recovery with GPU Acceleration
Gazdík, Peter ; Holkovič, Martin (referee) ; Hranický, Radek (advisor)
This thesis discusses various techniques to enhance the password recovery process with GPU acceleration. The first part introduces a Markov model and simple regular expressions. These techniques dramatically reduce the password space to be searched. This is based on observations of users and their use of letters in passwords. We propose the design of a parallel algorithm that combines both techniques. Last part of the thesis contains the results of experiments to prove benefits of Markov model.
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Acceleration of Data Compression with Parallel Architectures
Juránek, Luboš ; Tříska, Vít (referee) ; Šimek, Václav (advisor)
This bachelor thesis deals with the use of parallel architectures, in particular the GPU, for acceleration of selected lossless compression algorithms, based on a statistical method, and transformations, which change the entropy of the input data to achieve better compression ratio. In this work there are in theory summarized general information about parallel architectures and programming options for them, mainly using NVIDIA CUDA and OpenCL.
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The GPU Based Acceleration of Neural Networks
Šimíček, Ondřej ; Jaroš, Jiří (referee) ; Petrlík, Jiří (advisor)
The thesis deals with the acceleration of backpropagation neural networks using graphics chips. To solve this problem it was used the OpenCL technology that allows work with graphics chips from different manufacturers. The main goal was to accelerate the time-consuming learning process and classification process. The acceleration was achieved by training a large amount of neural networks simultaneously. The speed gain was used to find the best settings and topology of neural network for a given task using genetic algorithm.
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Password Recovery of RAR, BZIP, and GZIP Archives Using GPU
Mikuš, Dávid ; Holkovič, Martin (referee) ; Hranický, Radek (advisor)
This thesis describes cryptographic protection and the implementation of file password of RAR, GZIP, BZIP formats. For password recovery multi platform Wrathion tool is used, the tool can obtain a password from an encrypted file by using its modules and password generators. The module provides parsing of input file and storing data, which are later used for password validation. To accelerate calculations, graphics card and OpenCL framework is used. The core of thesis is the implementation of Wrathion's modules for password recovery of the formats denoted above and measuring the speed and comparision with competeting tools.
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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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Password Recovery in Distributed Environment
Kos, Ondřej ; Veselý, Vladimír (referee) ; Hranický, Radek (advisor)
The goal of this thesis is to design and implement a framework allowing password recovery in a distributed environment. The research is therefore focused on analyzing the security of passwords, techniques used for attacks on them and also presents methods preventing attacks on passwords. Described is the Wrathion tool which is allowing password recovery using acceleration on graphic cards through the integration of OpenCL framework. Conducted is also an analysis of available environments providing means to run computing tasks on multiple devices, based on which the OpenMPI platform is chosen for extending Wrathion. Disclosed are various modifications and added components, and the entire system is also subjected to experiments aiming at the measuring of scalability and network traffic performance. The financial side of the use of Wrathion tool is also discussed in terms of its usability in cloud based distributed environment.
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Real Time Suppression of Atmospheric Turbulence
Macků, Jiří ; Orság, Filip (referee) ; Marvan, Aleš (advisor)
This paper deals with removing undesirable image deformations caused by turbulences of Earth's atmosphere. The goal is to design and implement algorithm for suppression of atmosphere turbulence in video sequences to use in long-distance camera monitoring system. This paper also focuses on optimization of existing algorithms for running in real-time. Algorithm will be implemented in C++ programming language with use of library for computer vision OpenCV.
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Face Detection in Video on GPU
Tesař, Martin ; Nečas, Ondřej (referee) ; Polok, Lukáš (advisor)
This work deals with task of face detection on graphic card. First part is the introduction to face detection methods focusing on detector proposed by Viola and Jones. Further, this work studies the possibilities of mapping detector's key parts on graphic card. Next part describes implementation details of designed application. The end of work include results and comparison with CPU approach. The last chapter summarizes the whole work and proposes future possibilities of development.
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Radiosity on GPU
Šabata, David ; Nečas, Ondřej (referee) ; Polok, Lukáš (advisor)
This work deals with the radiosity algorith, a global illumination method and its implementation in OpenGL and OpenCL libraries. At rst two of the most common global illumination methods will be presented, considering radiosity as the main topic, including its usage in realtime rendering. An introduction to the libraries used will be next, followed by description of the application implemented in C++ language. In the end the ndings of this thesis and its possible improvements will be discussed.
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