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MRI Data Processing Acceleration on GPU
Kešner, Filip ; Nečas, Ondřej (referee) ; Polok, Lukáš (advisor)
This BSc Thesis was performed during a study stay at the Universita della Svizzera italiana, Swiss. The identification of trajectories of neuron fibres within the human brain is of great importance in many medical applications as the neural diagnostics, neuronavigation, treatment of epilepsy, surgical removal of tumors and etc. By using diffusion MRI-data as input, and by employing Monte-Carlo like methods, possible trajectories are generated and the most likely ones can be visualized. These can serve as input for advanced medical diagnosis and treatments. Due to the huge amount of data to be analyzed and many iterations, this is a time consuming process. For the purposes such as statistical analysis and comparsion over several datasets or several patients, computational time requirements are enourmous. Faster diagnosis can improve routine throughput and provide earlier treatment of illness. At this time, there exists only a very few implementations of neural tractography sof tware. For probabilistic neural tractography is the list of software even thiner. Today's implementations using standard serial CPU execution suffer from high time consumption. The goal is to provide an efficient implementation which makes use of GPGPUs and exploits parallelism in the method. For the GPU implementation, a comparsion of CUDA and OpenCL technologies will be provided, using the more suitable one.
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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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Framework for RISC-V Compliance Tests Execution
Skála, Milan ; Čekan, Ondřej (referee) ; Zachariášová, Marcela (advisor)
This thesis focuses on design and implementation of a testing framework for different implementation types of RISC-V architecture. It describes history, instruction set and processor modes which are supported by this architecture. Further, the current methodologies and testing frameworks implemented in Python are discussed. Emphasis is placed on the analysis of compliance tests. In the practical part, the design and implementation of a framework for execution of compliance tests for models, which can be implemented in various ways, either as an ISA simulator or a hardware model, is done. The secondary aim of the thesis is to create a graphical user interface for quick and easy test configuration. Finally, the results are evaluated and the possibilities of further development are discussed.
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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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Realization of supercomputer using graphic card
Jasovský, Filip ; Karásek, Jan (referee) ; Mašek, Jan (advisor)
This master´s thesis deals with realization of supercomputer using graphic card with CUDA technology. The theoretical part of this thesis describes the function and the possibility of graphic cards and desktop computers and processes taking place in the proces sof calculations on them. The practical part deals with creation system for calculations on the graphic card using the algorithm of artificial intelligence, more specifically artificial neural networks. Subsequently is the generated program used for data classification of large input data file. Finally the results are compared.
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Universal Microcontroller Unit
Kulenda, Vít ; Hynčica, Ondřej (referee) ; Kučera, Pavel (advisor)
Master’s thesis contains description parameters of microcontroller ATMEGA644P, also contains differences between older and newer version of microcontrollers ATMEGA644 and ATMEGA644PA. Inside structure of microcontroller, memories and peripherals are described here. The construction of the universal microcontroller unit is main target of this thesis. The unit contains supply, A/D converter, current loop, communication interfaces, temperature sensor, accelerometer and other. The unit collects and saves data, communicates by interfaces and manages other functions. Using devices and circuits are described in this thesis. Development of software for microcontroller(firmware) are positioned to last part of this thesis. This software control functions of all parts positioned on the unit.
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Implementation of open source system for network monitoring
Scripnic, Dmitrii ; Sládok, Ondřej (referee) ; Grenar, David (advisor)
The bachelor thesis deals with network monitoring. In this work, a theoretical analysis of known monitoring systems was performed and their architecture, properties and work with these systems were also described. Subsequently, a comparative characteristic of all described systems was performed. At the beginning of the practical part, the installation and configuration of all monitoring systems and their evaluation was performed. The second part deals with the Zabbix monitoring system, where more emphasis was placed on monitoring IP service delays.
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Particle Swarm Optimization on GPUs
Záň, Drahoslav ; Petrlík, Jiří (referee) ; Jaroš, Jiří (advisor)
This thesis deals with a population based stochastic optimization technique PSO (Particle Swarm Optimization) and its acceleration. This simple, but very effective technique is designed for solving difficult multidimensional problems in a wide range of applications. The aim of this work is to develop a parallel implementation of this algorithm with an emphasis on acceleration of finding a solution. For this purpose, a graphics card (GPU) providing massive performance was chosen. To evaluate the benefits of the proposed implementation, a CPU and GPU implementation were created for solving a problem derived from the known NP-hard Knapsack problem. The GPU application shows 5 times average and almost 10 times the maximum speedup of computation compared to an optimized CPU application, which it is based on.
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Possibilities of implementation parallel task in programming languages
Zejda, Václav ; Ondroušek, Vít (referee) ; Houška, Pavel (advisor)
This work deals with the problem of implementation of parallel tasks in various programming environments. First part of the work follows the basics of parallelisation. It features especially when the parallelisation is suitable, what kinds of parallelisation are used and differences between architecture of various systems. Following parts describes various techniques in developing applications with the parallelisation support. From parallelisation support for common programming languages to graphics development tools and to environments that uses graphic processing unit (GPU) in combination with central processing unit (CPU).
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