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Dissertations / Theses on the topic 'NVIDIA'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

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1

Gameiro, Pedro Miguel Rodrigues. "Equity research - NVIDIA Corporation." Master's thesis, Instituto Superior de Economia e Gestão, 2018. http://hdl.handle.net/10400.5/16970.

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Mestrado em Finanças<br>Este relatório reflete a avaliação da empresa de Semi-condutores, a NVIDIA Corporation e está de acordo com o trabalho final de mestrado de Finanças do ISEG. Este relatório foi escrito com base nas recomendações do CFA Institute. A NVIDIA é uma empresa que está a enfrentar um momento bastante singular comparado com os seus competidores, com um crescimento anual de vendas de 40% e um aumento na avaliação das suas ações de 334,46% nos últimos dos anos. Não só a NVIDIA está a ter uma performance financeira interessante como se está a entrar em mercados emergentes como a au
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Zajíc, Jiří. "Překladač jazyka C# do jazyka Nvidia CUDA." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2012. http://www.nusl.cz/ntk/nusl-236439.

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This master's thesis is focused on GPU accelerated calculations on NVidia graphics card. CUDA technology is used and converted to implementation on a .NET platform. The problem is solved as a compiler from C# programing language to NVidia CUDA language with expression atrributes of C# language that preserves the same semantics of actions. Application is implemented in C# programing language and uses NRefactory, the open-source library.
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Santos, Paulo Carlos Ferreira dos. "Extração de informações de desempenho em GPUs NVIDIA." Universidade de São Paulo, 2013. http://www.teses.usp.br/teses/disponiveis/45/45134/tde-02042013-090806/.

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O recente crescimento da utilização de Unidades de Processamento Gráfico (GPUs) em aplicações científicas, que são voltadas ao desempenho, gerou a necessidade de otimizar os programas que nelas rodam. Uma ferramenta adequada para essa tarefa é o modelo de desempenho que, por sua vez, se beneficia da existência de uma ferramenta de extração de informações de desempenho para GPUs. Este trabalho cobre a criação de um gerador de microbenchmark para instruções PTX que também obtém informações sobre as características do hardware da GPU. Os resultados obtidos com o microbenchmark foram validados atr
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Krivoklatský, Filip. "Návrh vestavaného systému inteligentného vidění na platformě NVIDIA." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2019. http://www.nusl.cz/ntk/nusl-400627.

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This diploma thesis deals with design of embedded computer vision system and transfer of existing computer vision application for 3D object detection from Windows OS to designed embedded system with Linux OS. Thesis focuses on design of communication interface for system control and camera video transfer through local network with video compression. Then, detection algorithm is enhanced by transferring computationally expensive functions to GPU using CUDA technology. Finally, a user application with graphical interface is designed for system control on Windows platform.
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Savioli, Nicolo'. "Parallelization of the algorithm WHAM with NVIDIA CUDA." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2013. http://amslaurea.unibo.it/6377/.

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The aim of my thesis is to parallelize the Weighting Histogram Analysis Method (WHAM), which is a popular algorithm used to calculate the Free Energy of a molucular system in Molecular Dynamics simulations. WHAM works in post processing in cooperation with another algorithm called Umbrella Sampling. Umbrella Sampling has the purpose to add a biasing in the potential energy of the system in order to force the system to sample a specific region in the configurational space. Several N independent simulations are performed in order to sample all the region of interest. Subsequently, the WHAM algo
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Ikeda, Patricia Akemi. "Um estudo do uso eficiente de programas em placas gráficas." Universidade de São Paulo, 2011. http://www.teses.usp.br/teses/disponiveis/45/45134/tde-25042012-212956/.

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Inicialmente projetadas para processamento de gráficos, as placas gráficas (GPUs) evoluíram para um coprocessador paralelo de propósito geral de alto desempenho. Devido ao enorme potencial que oferecem para as diversas áreas de pesquisa e comerciais, a fabricante NVIDIA destaca-se pelo pioneirismo ao lançar a arquitetura CUDA (compatível com várias de suas placas), um ambiente capaz de tirar proveito do poder computacional aliado à maior facilidade de programação. Na tentativa de aproveitar toda a capacidade da GPU, algumas práticas devem ser seguidas. Uma delas consiste em manter o hardware
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Rivera-Polanco, Diego Alejandro. "COLLECTIVE COMMUNICATION AND BARRIER SYNCHRONIZATION ON NVIDIA CUDA GPU." Lexington, Ky. : [University of Kentucky Libraries], 2009. http://hdl.handle.net/10225/1158.

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Thesis (M.S.)--University of Kentucky, 2009.<br>Title from document title page (viewed on May 18, 2010). Document formatted into pages; contains: ix, 88 p. : ill. Includes abstract and vita. Includes bibliographical references (p. 86-87).
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Harvey, Jesse Patrick. "GPU acceleration of object classification algorithms using NVIDIA CUDA /." Online version of thesis, 2009. http://hdl.handle.net/1850/10894.

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Lerchundi, Osa Gorka. "Fast Implementation of Two Hash Algorithms on nVidia CUDA GPU." Thesis, Norwegian University of Science and Technology, Department of Telematics, 2009. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-9817.

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<p>User needs increases as time passes. We started with computers like the size of a room where the perforated plaques did the same function as the current machine code object does and at present we are at a point where the number of processors within our graphic device unit it’s not enough for our requirements. A change in the evolution of computing is looming. We are in a transition where the sequential computation is losing ground on the benefit of the distributed. And not because of the birth of the new GPUs easily accessible this trend is novel but long before it was used for projects li
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Virk, Bikram. "Implementing method of moments on a GPGPU using Nvidia CUDA." Thesis, Georgia Institute of Technology, 2010. http://hdl.handle.net/1853/33980.

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This thesis concentrates on the algorithmic aspects of Method of Moments (MoM) and Locally Corrected Nyström (LCN) numerical methods in electromagnetics. The data dependency in each step of the algorithm is analyzed to implement a parallel version that can harness the powerful processing power of a General Purpose Graphics Processing Unit (GPGPU). The GPGPU programming model provided by NVIDIA's Compute Unified Device Architecture (CUDA) is described to learn the software tools at hand enabling us to implement C code on the GPGPU. Various optimizations such as the partial update at every itera
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Subramoniapillai, Ajeetha Saktheesh. "Architectural Analysis and Performance Characterization of NVIDIA GPUs using Microbenchmarking." The Ohio State University, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=osu1344623484.

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Sreenibha, Reddy Byreddy. "Performance Metrics Analysis of GamingAnywhere with GPU accelerated Nvidia CUDA." Thesis, Blekinge Tekniska Högskola, Institutionen för datalogi och datorsystemteknik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-16846.

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The modern world has opened the gates to a lot of advancements in cloud computing, particularly in the field of Cloud Gaming. The most recent development made in this area is the open-source cloud gaming system called GamingAnywhere. The relationship between the CPU and GPU is what is the main object of our concentration in this thesis paper. The Graphical Processing Unit (GPU) performance plays a vital role in analyzing the playing experience and enhancement of GamingAnywhere. In this paper, the virtualization of the GPU has been concentrated on and is suggested that the acceleration of this
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Nejadfard, Kian. "Context-aware automated refactoring for unified memory allocation in NVIDIA CUDA programs." Cleveland State University / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=csu1624622944458295.

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Zaahid, Mohammed. "Performance Metrics Analysis of GamingAnywhere with GPU acceletayed NVIDIA CUDA using gVirtuS." Thesis, Blekinge Tekniska Högskola, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-16852.

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The modern world has opened the gates to a lot of advancements in cloud computing, particularly in the field of Cloud Gaming. The most recent development made in this area is the open-source cloud gaming system called GamingAnywhere. The relationship between the CPU and GPU is what is the main object of our concentration in this thesis paper. The Graphical Processing Unit (GPU) performance plays a vital role in analyzing the playing experience and enhancement of GamingAnywhere. In this paper, the virtualization of the GPU has been concentrated on and is suggested that the acceleration of this
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Graves, Russell Edward. "High performance password cracking by implementing rainbow tables on nVidia graphics cards (IseCrack)." [Ames, Iowa : Iowa State University], 2008. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:1461850.

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Ясменко, В. Р., та К. В. Донець. "Аналіз можливостей візуалізатора NVIDIA Iray у порівнянні з візуалізатором V-Ray програми 3DS Max". Thesis, КНУТД, 2016. https://er.knutd.edu.ua/handle/123456789/4360.

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Bourque, Donald. "CUDA-Accelerated ORB-SLAM for UAVs." Digital WPI, 2017. https://digitalcommons.wpi.edu/etd-theses/882.

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"The use of cameras and computer vision algorithms to provide state estimation for robotic systems has become increasingly popular, particularly for small mobile robots and unmanned aerial vehicles (UAVs). These algorithms extract information from the camera images and perform simultaneous localization and mapping (SLAM) to provide state estimation for path planning, obstacle avoidance, or 3D reconstruction of the environment. High resolution cameras have become inexpensive and are a lightweight and smaller alternative to laser scanners. UAVs often have monocular camera or stereo camera setups
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Shaker, Alfred M. "COMPARISON OF THE PERFORMANCE OF NVIDIA ACCELERATORS WITH SIMD AND ASSOCIATIVE PROCESSORS ON REAL-TIME APPLICATIONS." Kent State University / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=kent1501084051233453.

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Buenaflor, Jr Romeo C. "Using State-of-the-Art GPGPU's for Molecular Simulation : Optimizing Massively Parrallelized N-Body programs using NVIDIA Tesla." Thesis, Uppsala University, Department of Information Technology, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-110895.

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<p>Computation and simulation as a tool for discovering new knowledge is still marred by problems that are intractable, combinatoric, or simply plagued by the so called curse of dimensionality. The algorithm used for molecular simulation of polyelectrolytes is one of those areas in computational chemistry and science suffering from the curse of dimensionality. Much of the problems, though, have been claimed to be solvable with the advent of more sophisticated and powerful computers and related technologies. This paper attempts to substantiate the claim. In this paper, a state-of-the-art NVIDIA
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Surineni, Sruthikesh. "Performance/Accuracy Trade-offs of Floating-point Arithmetic on Nvidia GPUs| From a Characterization to an Auto-tuner." Thesis, University of Missouri - Columbia, 2019. http://pqdtopen.proquest.com/#viewpdf?dispub=13850754.

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<p> Floating-point computations produce approximate results, possibly leading to inaccuracy and reproducibility problems. Existing work addresses two issues: first, the design of high precision floating-point representations, and second, the study of methods to support a trade-off between accuracy and performance of central processing unit (CPU) applications. However, a comprehensive study of trade-offs between accuracy and performance on modern graphic processing units (GPUs) is missing. This thesis covers the use of different floating-point precisions (i.e., single and double floating-point
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Bronda, Samuel. "Hluboké neuronové sítě pro prostředí superpočítače." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2019. http://www.nusl.cz/ntk/nusl-400885.

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The main benefit of the work is the optimization of the hardware configuration for the calculation of neural networks. The theoretical part describes neural networks, deep learning frameworks and hardware options. The next part of the thesis deals with implementation of performance tests, which include application of Inception V3 and ResNet models. Network models are applied to various graphics cards and computing hardware. The output of the thesis is the implemented model of the network Inception V3, which examines the graphics cards and their performance, time-consuming calculations and thei
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Araújo, João Manuel da Silva. "Paralelização de algoritmos de Filtragem baseados em XPATH/XML com recurso a GPUs." Master's thesis, FCT - UNL, 2009. http://hdl.handle.net/10362/2530.

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Dissertação de Mestrado em Engenharia Informática<br>Esta dissertação envolve o estudo da viabilidade da utilização dos GPUs para o processamento paralelo aplicado aos algoritmos de filtragem de notificações num sistema editor/assinante. Este objectivo passou por realizar uma comparação de resultados experimentais entre a versão sequencial (nos CPUs) e a versão paralela de um algoritmo de filtragem escolhido como referência. Essa análise procurou dar elementos para aferir se eventuais ganhos da exploração dos GPUs serão suficientes para compensar a maior complexidade do processo.
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Shi, Bobo. "Implementation and Performance Analysis of Many-body Quantum Chemical Methods on the Intel Xeon Phi Coprocessor and NVIDIA GPU Accelerator." The Ohio State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=osu1462793739.

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Cammareri, Costantino Davide. "Sistema di misura dei consumi di unità di calcolo low-power per applicazioni scientifiche presso il centro INFN-CNAF." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2018. http://amslaurea.unibo.it/15718/.

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Questo lavoro di tesi, svolto presso il CNAF (Centro Nazionale per lo sviluppo delle Tecnologie Informatiche e Telematiche) è inserito nell'ambito del progetto INFN COSA (Computing on SoC Architecture). Si pone come obbiettivo quello di testare i consumi e le prestazioni di sistemi computazionali a basso consumo energetico di tipo System on Chip (SoC), i quali stanno emergendo come unità di calcolo su cui eseguire e testare applicazioni scientifiche. A tal proposito si è realizzato un misuratore di corrente basato su Arduino UNO e un trasduttore corrente-tensione, la cui uscita analogica dipe
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Nottingham, Alastair. "GPF : a framework for general packet classification on GPU co-processors." Thesis, Rhodes University, 2012. http://hdl.handle.net/10962/d1006662.

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This thesis explores the design and experimental implementation of GPF, a novel protocol-independent, multi-match packet classification framework. This framework is targeted and optimised for flexible, efficient execution on NVIDIA GPU platforms through the CUDA API, but should not be difficult to port to other platforms, such as OpenCL, in the future. GPF was conceived and developed in order to accelerate classification of large packet capture files, such as those collected by Network Telescopes. It uses a multiphase SIMD classification process which exploits both the parallelism of packet se
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Fuksa, Tomáš. "Paralelizace výpočtů pro zpracování obrazu." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2011. http://www.nusl.cz/ntk/nusl-219371.

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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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Mašek, Jan. "Dynamický částicový systém jako účinný nástroj pro statistické vzorkování." Doctoral thesis, Vysoké učení technické v Brně. Fakulta stavební, 2018. http://www.nusl.cz/ntk/nusl-390276.

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The presented doctoral thesis aims at development a new efficient tool for optimization of uniformity of point samples. One of use-cases of these point sets is the usage as optimized sets of integration points in statistical analyses of computer models using Monte Carlo type integration. It is well known that the pursuit of uniformly distributed sets of integration points is the only possible way of decreasing the error of estimation of an integral over an unknown function. The tasks of the work concern a survey of currently used criteria for evaluation and/or optimization of uniformity of poi
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Senthil, Kumar Nithin. "Designing optimized MPI+NCCL hybrid collective communication routines for dense many-GPU clusters." The Ohio State University, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=osu1619132252608831.

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Bartosch, Nadine. "Correspondence-based pairwise depth estimation with parallel acceleration." Thesis, Mittuniversitetet, Avdelningen för informationssystem och -teknologi, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-34372.

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This report covers the implementation and evaluation of a stereo vision corre- spondence-based depth estimation algorithm on a GPU. The results and feed- back are used for a Multi-view camera system in combination with Jetson TK1 devices for parallelized image processing and the aim of this system is to esti- mate the depth of the scenery in front of it. The performance of the algorithm plays the key role. Alongside the implementation, the objective of this study is to investigate the advantages of parallel acceleration inter alia the differences to the execution on a CPU which are significant
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Karri, Venkata Praveen. "Effective and Accelerated Informative Frame Filtering in Colonoscopy Videos Using Graphic Processing Units." Thesis, University of North Texas, 2010. https://digital.library.unt.edu/ark:/67531/metadc31536/.

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Colonoscopy is an endoscopic technique that allows a physician to inspect the mucosa of the human colon. Previous methods and software solutions to detect informative frames in a colonoscopy video (a process called informative frame filtering or IFF) have been hugely ineffective in (1) covering the proper definition of an informative frame in the broadest sense and (2) striking an optimal balance between accuracy and speed of classification in both real-time and non real-time medical procedures. In my thesis, I propose a more effective method and faster software solutions for IFF which is mor
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Loundagin, Justin. "Optimizing Harris Corner Detection on GPGPUs Using CUDA." DigitalCommons@CalPoly, 2015. https://digitalcommons.calpoly.edu/theses/1348.

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ABSTRACT Optimizing Harris Corner Detection on GPGPUs Using CUDA The objective of this thesis is to optimize the Harris corner detection algorithm implementation on NVIDIA GPGPUs using the CUDA software platform and measure the performance benefit. The Harris corner detection algorithm—developed by C. Harris and M. Stephens—discovers well defined corner points within an image. The corner detection implementation has been proven to be computationally intensive, thus realtime performance is difficult with a sequential software implementation. This thesis decomposes the Harris corner detection al
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Ekstam, Ljusegren Hannes, and Hannes Jonsson. "Parallelizing Digital Signal Processing for GPU." Thesis, Linköpings universitet, Programvara och system, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-167189.

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Because of the increasing importance of signal processing in today's society, there is a need to easily experiment with new ways to process signals. Usually, fast-performing digital signal processing is done with special-purpose hardware that are difficult to develop for. GPUs pose an alternative for fast performing digital signal processing. The work in this thesis is an analysis and implementation of a GPU version of a digital signal processing chain provided by SAAB. Through an iterative process of development and testing, a final implementation was achieved. Two benchmarks, both comprised
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Fors, Martin. "Normal Mapping för Hårda Ytor : Photoshop och Maya Transfer Maps för Normal Mapping av icke-organiska geometri i datorspel." Thesis, University of Skövde, School of Humanities and Informatics, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-3103.

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<p><p>I mitt examensarbete har jag undersökt om det lämpar sig att använda en manuell metod för att skapa normal maps till icke-organiska polygonmodeller avsedda för datorspel. Jag har använt mig av Photoshop för att måla normal maps som jag sedan applicerar på lågdetaljerade modeller jag skapat, för att höja detaljgraden avsevärt.</p><p> </p><p>Då icke-organisk modellering inbegriper modeller som ska representera hårda ytor, och därmed inte animeras med deformation, så antog jag att denna metod skulle lämpa sig väldigt väl åt dessa ytor som ofta har extremt mjuka former och precisa vassare ka
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Chehaimi, Omar. "Parallelizzazione dell'algoritmo di ricostruzione di Feldkamp-Davis-Kress per architetture Low-Power di tipo System-On-Chip." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2017. http://amslaurea.unibo.it/13918/.

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In questa tesi,svolta presso il CNAF,si presentano i risultati ottenuti nel lavoro svolto per la parallelizzazione in CUDA dell'algoritmo di ricostruzione tomografica di Feldkamp-Davis-Kress (FDK),sulla base del software in versione sia sequenziale che parallela MPI,sviluppato presso i laboratori del X-ray Imaging Group.Gli obbiettivi di questo lavoro sono principalmente due:ridurre in modo sensibile i tempi di esecuzione dell'algoritmo di ricostruzione FDK parallelizzando su Graphics Processing Unit (GPU) e valutare,su diverse tipologie di architetture,i consumi energetici.Le piattaforme pres
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Torcolacci, Veronica. "Implementation of Machine Learning Algorithms on Hardware Accelerators." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2020.

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Nowadays, cutting-edge technology, innovation and efficiency are the cornerstones on which industries are based. Therefore, prognosis and health management have started to play a key role in the prevention of crucial faults and failures. Recognizing malfunctions in a system in advance is fundamental both in economic and safety terms. This obviously requires a lot of data – mainly information from sensors or machine control - to be processed, and it’s in this scenario that Machine Learning comes to the aid. This thesis aims to apply these methodologies to prognosis in automatic machines and
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Mintěl, Tomáš. "Interpolace obrazových bodů." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2009. http://www.nusl.cz/ntk/nusl-236736.

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This master's thesis deals with acceleration of pixel interpolation methods using the GPU and NVIDIA (R) CUDA TM architecture. Graphic output is represented by a demonstrational application for geometrical image transforms using chosen interpolation method. Time critical parts of the code are moved on the GPU and executed in parallel. There are used highly optimized routines from the OpenCV library, made by the Intel company for an image and video processing.
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Němeček, Petr. "Geometrické transformace obrazu." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2009. http://www.nusl.cz/ntk/nusl-236764.

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This master's thesis deals with acceleration of geometrical image transforms using the GPU and NVIDIA (R) CUDA TM architecture. Time critical parts of the code are moved on the GPU and executed in parallel. One of the results is a demonstrational application for performance comparison of both architectures: the CPU, and GPU in combination with the CPU. As a reference implementation, there are used highly optimized routines from the OpenCV library, made by the Intel company.
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Hlavoň, David. "Detekce a klasifikace dopravních prostředků v obraze pomocí hlubokých neuronových sítí." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2018. http://www.nusl.cz/ntk/nusl-386014.

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This master's thesis deals with a vehicle detector based on the convolutional neural network and scene captured by drone. Dataset is described at the beginning, because the main aim of this thesis is to create practicly usable detector. Architectures of the forward neural networks which detector was created from are described in the next chapter. Techniques for building a detector based on the naive methods and current the most successful meta architectures follow the neural network architectures. An implementation of the detector is described in the second part of this thesis. The final detec
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Ng, Robin. "Efficient Implementation of Histogram Dimension Reduction using Deep Learning : The project focuses on implementing deep learning algorithms on the state of the art Nvidia Drive PX GPU platform to achieve high performance." Thesis, Högskolan i Halmstad, Centrum för forskning om inbyggda system (CERES), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-34862.

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Hordemann, Glen J. "Exploring High Performance SQL Databases with Graphics Processing Units." Bowling Green State University / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1380125703.

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Dočkal, Jiří. "Fyzikální simulace v počítačových hrách." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2010. http://www.nusl.cz/ntk/nusl-237215.

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The thesis is concerned with modern game engines, focusing on physical simulation and particle systems. It offers usable architectures overview for a game engine development. The thesis provides characteristic to the most essential game engine's logical modules as scene graph, resource management or rendering. Today's tools used for physical simulation in games are also described. Main part of the thesis concentrates on design and implementation of its own C3D game engine which exploits capabilities of the NVIDIA PhysX physical engine. The thesis includes modern techniques rising from author's
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Music, Sani. "Grafikkort till parallella beräkningar." Thesis, Malmö högskola, Fakulteten för teknik och samhälle (TS), 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-20150.

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Den här studien beskriver hur grafikkort kan användas på en bredare front änmultimedia. Arbetet förklarar och diskuterar huvudsakliga alternativ som finnstill att använda grafikkort till generella operationer i dagsläget. Inom denna studieanvänds Nvidias CUDA arkitektur. Studien beskriver hur grafikkort användstill egna operationer rent praktiskt ur perspektivet att vi redan kan programmerai högnivåspråk och har grundläggande kunskap om hur en dator fungerar. Vianvänder s.k. accelererade bibliotek på grafikkortet (THRUST och CUBLAS) föratt uppnå målet som är utveckling av programvara och prest
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Farabegoli, Nicolas. "Implementazione ottimizata dell'operatore di Dirac su GPGPU." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2020. http://amslaurea.unibo.it/20356/.

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Nelle applicazioni Lattice QCD l'operatore di Dirac rappresenta una delle principali operazioni, ottimizzarne l'efficienza si riflette in un incremento delle prestazioni globali dell'algoritmo. In tal senso i Tensor Core rappresentano una soluzione che incrementa le prestazioni del calcolo dell'operatore di Dirac ottimizzando in particolare la moltiplicazione tra matrici e vettori. Si è analizzata nel dettaglio l'architettura dei Tensor Core studiando il modello di esecuzione e il layout della memoria. Sono quindi state formulate e analizzate in dettaglio alcune soluzioni che sfruttano i Tenso
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Macenauer, Pavel. "Detekce objektů na GPU." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2015. http://www.nusl.cz/ntk/nusl-234942.

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This thesis addresses the topic of object detection on graphics processing units. As a part of it, a system for object detection using NVIDIA CUDA was designed and implemented, allowing for realtime video object detection and bulk processing. Its contribution is mainly to study the options of NVIDIA CUDA technology and current graphics processing units for object detection acceleration. Also parallel algorithms for object detection are discussed and suggested.
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Polášek, Tomáš. "Hybridní raytracing v rozhraní DXR." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2019. http://www.nusl.cz/ntk/nusl-403161.

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The goal of this thesis is to evaluate the usability of hardware accelerated ray tracing in near-future rendering engines. Specifically, DirectX Ray Tracing API and Nvidia Turing architecture are being examined. Design and implementation of a hybrid rendering engine with support for hardware accelerated ray tracing is included and used in implementation of frequently used graphical effects -- hard and soft shadows, reflections, and Ambient Occlusion. The assessment is made in terms of difficulty of integration into a rendering engine, performance of the resulting system and suitability of impl
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Míček, Vojtěch. "Neuronové sítě pro klasifikaci typu a kvality průmyslových výrobků." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2020. http://www.nusl.cz/ntk/nusl-413276.

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The aim of this master's thesis thesis is to enable evaluation of quality, or the type of product in industrial applications using artificial neural networks, especially in applications where the classical approach of machine vision is too complicated. The system thus designed is implemented onto a specific hardware platform and becomes a subject to the final optimalisation for the hardware platform for the best performance of the system.
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Bokhari, Saniyah S. "Parallel Solution of the Subset-sum Problem: An Empirical Study." The Ohio State University, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=osu1305898281.

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Straňák, Marek. "Raytracing na GPU." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2011. http://www.nusl.cz/ntk/nusl-237020.

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Raytracing is a basic technique for displaying 3D objects. The goal of this thesis is to demonstrate the possibility of implementing raytracer using a programmable GPU. The algorithm and its modified version, implemented using "C for CUDA" language, are described. The raytracer is focused on displaying dynamic scenes. For this purpose the KD tree structure, bounding volume hierarchies and PBO transfer are used. To achieve realistic output, photon mapping was implemented.
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Artico, Fausto. "Performance Optimization Of GPU ELF-Codes." Doctoral thesis, Università degli studi di Padova, 2014. http://hdl.handle.net/11577/3424532.

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GPUs (Graphic Processing Units) are of interest for their favorable ratio $\frac{GF/s}{price}$. Compared to the beginning - early 1980's - nowadays GPU architectures are more similar to general purpose architectures but with (much) larger numbers of cores - the GF100 architecture released by NVIDIA in 2009-2010, for example, has a true hardware cache hierarchy, a unified memory address space, double precision performance and has a maximum of 512 cores. Exploiting the computational power of GPUs for non-graphics applications - past or present - has, however, always been hard. Initially, in t
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Adeboye, Taiyelolu. "Robot Goalkeeper : A robotic goalkeeper based on machine vision and motor control." Thesis, Högskolan i Gävle, Avdelningen för elektronik, matematik och naturvetenskap, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-27561.

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This report shows a robust and efficient implementation of a speed-optimized algorithm for object recognition, 3D real world location and tracking in real time. It details a design that was focused on detecting and following objects in flight as applied to a football in motion. An overall goal of the design was to develop a system capable of recognizing an object and its present and near future location while also actuating a robotic arm in response to the motion of the ball in flight. The implementation made use of image processing functions in C++, NVIDIA Jetson TX1, Sterolabs’ ZED stereosco
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