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Processing units of last generation processors and their utilization
Šlenker, Samuel ; Pavlíček, Tomáš (referee) ; Balík, Miroslav (advisor)
The aim of this thesis was to study and subsequently process the differences between the older instruction sets and newer instruction sets, to specify the benefits of the individual extensions, to compare the way of computations of the individual SIMD processing units and to compare the implementation of these processing units in Intel and AMD companies. Part of this work are two theoretical introductions to laboratory tasks.
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SIMD Instructions Support in LLVM Compiler
Šnobl, Pavel ; Hynek, Jiří (referee) ; Masařík, Karel (advisor)
This bachelor thesis deals with support of automatic vectorization of code in the LLVM compilation framework and with extension of Codix processor model of SIMD instructions. As a result, LLVM is able to create reports about the process of auto-vectorization and it is possible to use special pragma directives to provide the compiler with additional information for optimizations of programs. Also a way of providing information about architectures of processors created using development environment Codasip Framework, needed for more effective vectorization, is introduced and implemented. Finally a set of integer vector instructions and related new registers for Codix is chosen and added to the model.
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Search of Corresponding Objects in a Pair of Images
Vrbenský, Andrej ; Herman, David (referee) ; Orság, Filip (advisor)
This thesis is aimed on area of stereoscopy. At first, there is some space dedicated to stereoscopic theory, primarily to seaching of corresponding objects in a stereo image pair. Main attention is given to template matching methods, which are based on intesity comparison. Then we try to optimize these methods with SIMD SSE instructions and run some tests with image examples. These methods are implemented in C++ and also in assembly language.
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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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Compiler of Language of Mathematical Function
Junek, Lukáš ; Horáček, Petr (referee) ; Čermák, Martin (advisor)
In this thesis, we are dealing with construction of Interpreter of Language of Mathematical function. We constructed all parts of interpreter, which involved processing and execution of source code. The main part of my thesis is implementation of computer operations with matrices using SSE instructions. For this purpose, we used interface by Intel. There in a special header file are defined the functions corresponding to each instruction. However, functions not only to calculate, but perform support operations, which eliminate some annoying features of assembler.
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Ray-tracing Using IPP Library
Kukla, Michal ; Havel, Jiří (referee) ; Hradiš, Michal (advisor)
Master thesis is dealing with design and implementation of ray-tracing and path-tracing using IPP library. Theoretical part discusses current trends in acceleration of selected algorithms and also possibilities of parallelization. Design of ray-tracing and path-tracing algorithm and form of parallelization are described in proposal. This part also discusses implementation of adaptive sampling and importance sampling with Monte Carlo method to accelerate path-tracing algorithm. Next part is dealing with particular steps in implementation of selected rendering methods regarding IPP library. Implementation of network interface using Boost library is also discussed. At the end, implemented methods are subjected to performance and quality test. Final product of this thesis is server aplication capable of handling multiple connections which provides visualisation and client application which implements ray-tracing and path-tracing.
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Optimization of Voice Recognition for Mobile Devices
Tomec, Martin ; Zbořil, František (referee) ; Hanáček, Petr (advisor)
This work deals with optimization of keyword spotting algorithms on processor architecture ARM Cortex-A8. At first it describes this architecture and especially the NEON unit for vector computing. In addition it briefly describes keyword spotting algorithms and also there is proposed optimization of these algorithms for described architecture. Main part of this work is implementation of these optimizations and analysis of their impact on performance.
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The Efficient Implementation of the Genetic Algorithm Using Multicore Processors
Kouřil, Miroslav ; Žaloudek, Luděk (referee) ; Jaroš, Jiří (advisor)
This diploma thesis deals with acceleration of advanced genetic algorithm. For implementation, discrete and continuos versions of UMDA genetic algorithm were chosen. The main part of the acceleration is the utilization of SSE instruction set. Using this set, the functions for calculating fitness and new population sampling were accelerated in particular. Then the pseudorandom number generator that also uses SSE instruction set was implemented. The discrete algorithm reached the speed of up to 4,6 after this implementation. Finally, the algorithms were modified so that the system OpenMP could be used, which enables the running of blocks of code in more threads. The continuous version of algorithm is not convenient for parallelization, because computational complexity of that algorithm is low. In comparison, the discrete versions of algorithm are really appropriate for parallelization. Both the implemented versions reached the total acceleration of up to 4,9 and 7,2.
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Face Detector For Android Platform
Slavík, Roman ; Polok, Lukáš (referee) ; Láník, Aleš (advisor)
This master's thesis deals with face detection on mobile phones with Android OS. The introduction describes some algorithms used for pattern detection from image, as well as various techniques of features extracting. After that Android platform development specifics, including basic description of development tools, are described. Architecture of SIMD is introduced in next part of this work. After acquiring basic knowleage analysis and implementation of final app are descrited. Performance tests are conducted whose results are summarized in the conclusion.
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