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Algorithm Acceleration on Larrabee Platform
Veselý, Ivo ; Seeman, Michal (referee) ; Zemčík, Pavel (advisor)
Intel Larrabee is one of the first of fully programmable graphical architectures. Thesis describes this many-core architecture by hardware implementation and programmer's model point of view. Larrabee bets on many complete in-order cores, built over x86 instruction set. Cores contains four hardware threads, each with it's own register file, and new vector processing unit. Vector processing unit together with instruction set extension rapidly increases system performance. New cache modes helps to increase throughput even when irregular data structures. This architecture is not focused only on computer graphics nor image processing, but all parallel tasks. Second part of this text deals with hologram synthesis. Specifically, it brings two new methods for patch of point light sources generation with concrete radiation.
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Optimized Ray Tracing
Brich, Radek ; Herout, Adam (referee) ; Zemčík, Pavel (advisor)
Goal of this work is to write an optimized program for visualization of 3D scenes using ray tracing method. First, the theory of ray tracing together with particular techniques are presented. Next part focuses on different approaches to accelerate the algorithm. These are space partitioning structures, fast ray-triangle intersection technique and possibilities to parallelize the whole ray tracing method. A standalone chapter addresses the design and implementation of the ray tracing program.
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Optimization of a Processor Core for the OpenCV Library
Benna, Filip ; Hynek, Jiří (referee) ; Hruška, Tomáš (advisor)
This bachelor's thesis deals with compilation of OpenCV library with Codix RISC processor core as the target machine and following optimization of chosen applications based on this library. Process of optimization is based on extensibility of the processor core, therefore this thesis theoretically describes and also shows on example extending the processor's instruction set with vector instructions. The thesis also contains the results of the optimization and their comparison with the not optimized application.
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Paralelized image processing library
Fuksa, Tomáš ; Macho, Tomáš (referee) ; Petyovský, Petr (advisor)
This work deals with parallel computing on modern processors - multi-core CPU and GPU. The goal is to learn about computing on this devices suitable for parallelization, define their advantages and disadvantages, test their properties in examples and select appropriate tools to implement a library for parallel image processing. This library is going to be used for the vanishing point estimation in the path finding mobile robot.
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Intel Integrated Performance Primitives and their use in application development
Machač, Jiří ; Přinosil, Jiří (referee) ; Malý, Jan (advisor)
The aim of the presented work is to demonstrate and evaluate the contribution of computing system SIMD especially units MMX, SSE, SSE2, SSE3, SSSE3 and SSE4 from Intel company, by creation of demostrating applications with using Intel Integrated Performance Primitives library. At first, possibilities of SIMD programming using intrinsic function, vektorization and libraries Intel Integrated Performance Primitives are presented, as next are descibed options of evaluation of particular algorithms. Finally procedure of programing by using Intel Integrated Performance Primitives library are ilustrated.
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