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Data publikacji: 3 czerwca 2025

Data aktualizacji: 31 lipca 2025

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1

Gibson, Michael John. "Genetic programming and cellular automata for fast flood modelling on multi-core CPU and many-core GPU computers." Thesis, University of Exeter, 2015. http://hdl.handle.net/10871/20364.

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Many complex systems in nature are governed by simple local interactions, although a number are also described by global interactions. For example, within the field of hydraulics the Navier-Stokes equations describe free-surface water flow, through means of the global preservation of water volume, momentum and energy. However, solving such partial differential equations (PDEs) is computationally expensive when applied to large 2D flow problems. An alternative which reduces the computational complexity, is to use a local derivative to approximate the PDEs, such as finite difference methods, or

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McCall, Andrew James. "Multi-level Parallelism with MPI and OpenACC for CFD Applications." Thesis, Virginia Tech, 2017. http://hdl.handle.net/10919/78203.

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High-level parallel programming approaches, such as OpenACC, have recently become popular in complex fluid dynamics research since they are cross-platform and easy to implement. OpenACC is a directive-based programming model that, unlike low-level programming models, abstracts the details of implementation on the GPU. Although OpenACC generally limits the performance of the GPU, this model significantly reduces the work required to port an existing code to any accelerator platform, including GPUs. The purpose of this research is twofold: to investigate the effectiveness of OpenACC in developi

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Pickering, Brent Phillip. "Evaluating the OpenACC API for Parallelization of CFD Applications." Thesis, Virginia Tech, 2014. http://hdl.handle.net/10919/50487.

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Directive-based programming of graphics processing units (GPUs) has recently appeared as a viable alternative to using specialized low-level languages such as CUDA C and OpenCL for general-purpose GPU programming. This technique, which uses directive or pragma statements to annotate source codes written in traditional high-level languages, is designed to permit a unified code base to serve multiple computational platforms and to simplify the transition of legacy codes to new architectures. This work analyzes the popular OpenACC programming standard, as implemented by the PGI compiler suite,

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Zhang, Hang. "Distributed Support Vector Machine With Graphics Processing Units." ScholarWorks@UNO, 2009. http://scholarworks.uno.edu/td/991.

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Training a Support Vector Machine (SVM) requires the solution of a very large quadratic programming (QP) optimization problem. Sequential Minimal Optimization (SMO) is a decomposition-based algorithm which breaks this large QP problem into a series of smallest possible QP problems. However, it still costs O(n2) computation time. In our SVM implementation, we can do training with huge data sets in a distributed manner (by breaking the dataset into chunks, then using Message Passing Interface (MPI) to distribute each chunk to a different machine and processing SVM training within each chun

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Lundgren, Jacob. "Pricing of American Options by Adaptive Tree Methods on GPUs." Thesis, Uppsala universitet, Avdelningen för beräkningsvetenskap, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-265257.

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An assembled algorithm for pricing American options with absolute, discrete dividends using adaptive lattice methods is described. Considerations for hardware-conscious programming on both CPU and GPU platforms are discussed, to provide a foundation for the investigation of several approaches for deploying the program onto GPU architectures. The performance results of the approaches are compared to that of a central processing unit reference implementation, and to each other. In particular, an approach of designating subtrees to be calculated in parallel by allowing multiple calculation of ove

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Rocha, João Miguel Lopes de Almeida. "Aceleração GPU da animação de superfícies deformáveis." Master's thesis, FCT - UNL, 2008. http://hdl.handle.net/10362/1880.

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Dissertação de Mestrado em Engenharia Informática<br>A simulação de tecidos virtuais desempenha um papel importante em diversas áreas, como as indústrias dos jogos de computador e do cinema, sendo um tópico de investigação com grande actividade. A simulação é, normalmente, efectuada recorrendo a sistemas de partículas. Sobre as partículas são, de uma forma geral, definidas uma série de interacções com base num modelo físico de superfície, que caracteriza as propriedades do tecido, sobretudo no que diz respeito às suas deformações internas. A simulação é uma tarefa de computação extremamente i

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Kelly, Jesse. "Numerical solution of the two-phase incompressible navier-stokes equations using a gpu-accelerated meshless method." Honors in the Major Thesis, University of Central Florida, 2009. http://digital.library.ucf.edu/cdm/ref/collection/ETH/id/1277.

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This item is only available in print in the UCF Libraries. If this is your Honors Thesis, you can help us make it available online for use by researchers around the world by following the instructions on the distribution consent form at http://library.ucf.edu/Systems/DigitalInitiatives/DigitalCollections/InternetDistributionConsentAgreementForm.pdf You may also contact the project coordinator, Kerri Bottorff, at kerri.bottorff@ucf.edu for more information.<br>Bachelors<br>Engineering and Computer Science<br>Mechanical Engineering

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Coimbra, Andre Rodrigues. "Método automático para descoberta de funções de ordenação utilizando programação genética paralela em GPU." Universidade Federal de Goiás, 2014. http://repositorio.bc.ufg.br/tede/handle/tede/4525.

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Submitted by Luciana Ferreira (lucgeral@gmail.com) on 2015-05-15T13:33:06Z No. of bitstreams: 2 Dissertação - André Rodrigues Coimbra - 2014.pdf: 5214859 bytes, checksum: d951502129d7be5d60b6a785516c3ad1 (MD5) license_rdf: 23148 bytes, checksum: 9da0b6dfac957114c6a7714714b86306 (MD5)<br>Approved for entry into archive by Luciana Ferreira (lucgeral@gmail.com) on 2015-05-15T13:37:45Z (GMT) No. of bitstreams: 2 Dissertação - André Rodrigues Coimbra - 2014.pdf: 5214859 bytes, checksum: d951502129d7be5d60b6a785516c3ad1 (MD5) license_rdf: 23148 bytes, checksum: 9da0b6dfac957114c6a7714714b86306 (MD5)

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Flannery, Rebecca Lynn. "A hybrid fluid simulation on the Graphics Processing Unit (GPU)." Texas A&M University, 2008. http://hdl.handle.net/1969.1/85974.

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This thesis presents a method to implement a hybrid particle/grid uid simulation on graphics hardware. The goal is to speed up the simulation by exploiting the parallelism of the graphics processing unit, or GPU. The Fluid Implicit Particle method is adapted to the programming style of the GPU. The methods were implemented on a current generation graphics card. The GPU based program exhibited a small speedup over its CPU based counterpart.

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Passerat-Palmbach, Jonathan. "Contributions to parallel stochastic simulation : application of good software engineering practices to the distribution of pseudorandom streams in hybrid Monte Carlo simulations." Phd thesis, Université Blaise Pascal - Clermont-Ferrand II, 2013. http://tel.archives-ouvertes.fr/tel-00858735.

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The race to computing power increases every day in the simulation community. A few years ago, scientists have started to harness the computing power of Graphics Processing Units (GPUs) to parallelize their simulations. As with any parallel architecture, not only the simulation model implementation has to be ported to the new parallel platform, but all the tools must be reimplemented as well. In the particular case of stochastic simulations, one of the major element of the implementation is the pseudorandom numbers source. Employing pseudorandom numbers in parallel applications is not a straigh

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11

Wu, Haicheng. "Acceleration and execution of relational queries using general purpose graphics processing unit (GPGPU)." Diss., Georgia Institute of Technology, 2015. http://hdl.handle.net/1853/54405.

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This thesis first maps the relational computation onto Graphics Processing Units (GPU)s by designing a series of tools and then explores the different opportunities of reducing the limitation brought by the memory hierarchy across the CPU and GPU system. First, a complete end-to-end compiler and runtime infrastructure, Red Fox, is proposed. The evaluation on the full set of industry standard TPC-H queries on a single node GPU shows on average Red Fox is 11.20x faster compared with a commercial database system on a state of art CPU machine. Second, a new compiler technique called kernel fusion

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12

Neiman, Lev Alexandrovich. "Solving Stochastic Differential Equations Using General Purpose Graphics Processing Unit." Ohio University / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1331662665.

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13

Appelgren, Filip, and Måns Ekelund. "Performance Evaluation of a Signal Processing Algorithm with General-Purpose Computing on a Graphics Processing Unit." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-253816.

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Graphics Processing Units (GPU) are increasingly being used for general-purpose programming, instead of their traditional graphical tasks. This is because of their raw computational power, which in some cases give them an advantage over the traditionally used Central Processing Unit (CPU). This thesis therefore sets out to identify the performance of a GPU in a correlation algorithm, and what parameters have the greatest effect on GPU performance. The method used for determining performance was quantitative, utilizing a clock library in C++ to measure performance of the algorithm as problem si

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Pei, Mo Mo. "Modeling the performance of many-core programs on GPUs with advanced features." Thesis, University of Macau, 2012. http://umaclib3.umac.mo/record=b2592954.

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Scogland, Thomas R. "Runtime Adaptation for Autonomic Heterogeneous Computing." Diss., Virginia Tech, 2014. http://hdl.handle.net/10919/71315.

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Heterogeneity is increasing across all levels of computing, with the rise of accelerators such as GPUs, FPGAs, and other coprocessors into everything from cell phones to supercomputers. More quietly it is increasing with the rise of NUMA systems, hierarchical caching, OS noise, and a myriad of other factors. As heterogeneity becomes a fact of life, efficiently managing heterogeneous compute resources is becoming a critical, and ever more complex, task. The focus of this dissertation is to lay the foundation for an autonomic system for heterogeneous computing, employing runtime adaptation to im

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Tristram, Uvedale Roy. "Classification of the difficulty in accelerating problems using GPUs." Thesis, Rhodes University, 2014. http://hdl.handle.net/10962/d1012978.

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Scientists continually require additional processing power, as this enables them to compute larger problem sizes, use more complex models and algorithms, and solve problems previously thought computationally impractical. General-purpose computation on graphics processing units (GPGPU) can help in this regard, as there is great potential in using graphics processors to accelerate many scientific models and algorithms. However, some problems are considerably harder to accelerate than others, and it may be challenging for those new to GPGPU to ascertain the difficulty of accelerating a particular

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17

Luckshetty, Harish Kumar. "Space-Time Finite Element Analysis on Graphics Processing Unit Computing Platform." University of Cincinnati / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1331296560.

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Löw, Joakim. "Ray Tracing Bézier Surfaces on GPU." Thesis, Linköping University, Department of Mathematics, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-5476.

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<p>In this report, we show how to implement direct ray tracing of B´ezier surfaces on graphics processing units (GPUs), in particular bicubic rectangular Bézier surfaces and nonparametric cubic Bézier triangles. We use Newton’s method for the rectangular case and show how to use this method to find the ray-surface intersection. For Newton’s method to work we must build a spatial partitioning hierarchy around each surface patch, and in general, hierarchies are essential to speed up the process of ray tracing. We have chosen to use bounding box hierarchies and show how to implement stackless tra

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Xiao, Shucai. "Generalizing the Utility of Graphics Processing Units in Large-Scale Heterogeneous Computing Systems." Diss., Virginia Tech, 2013. http://hdl.handle.net/10919/51845.

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Today, heterogeneous computing systems are widely used to meet the increasing demand for high-performance computing. These systems commonly use powerful and energy-efficient accelerators to augment general-purpose processors (i.e., CPUs). The graphic processing unit (GPU) is one such accelerator. Originally designed solely for graphics processing, GPUs have evolved into programmable processors that can deliver massive parallel processing power for general-purpose applications. Using SIMD (Single Instruction Multiple Data) based components as building units; the current GPU architecture is we

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Fung, Wilson Wai Lun. "Dynamic warp formation : exploiting thread scheduling for efficient MIMD control flow on SIMD graphics hardware." Thesis, University of British Columbia, 2008. http://hdl.handle.net/2429/2268.

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Recent advances in graphics processing units (GPUs) have resulted in massively parallel hardware that is easily programmable and widely available in commodity desktop computer systems. GPUs typically use single-instruction, multiple-data (SIMD) pipelines to achieve high performance with minimal overhead for control hardware. Scalar threads running the same computing kernel are grouped together into SIMD batches, sometimes referred to as warps. While SIMD is ideally suited for simple programs, recent GPUs include control flow instructions in the GPU instruction set architecture and programs

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Keith, Tūreiti. "A General-Purpose GPU Reservoir Computer." Thesis, University of Canterbury. Department of Electrical & Computer Engineering, 2013. http://hdl.handle.net/10092/7617.

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The reservoir computer comprises a reservoir of possibly non-linear, possibly chaotic dynamics. By perturbing and taking outputs from this reservoir, its dynamics may be harnessed to compute complex problems at “the edge of chaos”. One of the first forms of reservoir computer, the Echo State Network (ESN), is a form of artificial neural network that builds its reservoir from a large and sparsely connected recurrent neural network (RNN). The ESN was initially introduced as an innovative solution to train RNNs which, up until that point, was a notoriously difficult task. The innovation of the ES

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Le, Jianwei. "A GPU-based framework for real-time rendering of open water phenomena /." View abstract or full-text, 2008. http://library.ust.hk/cgi/db/thesis.pl?CSED%202008%20LE.

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da, Silva Joakim. "Pencil beam dose calculation for proton therapy on graphics processing units." Thesis, University of Cambridge, 2016. https://www.repository.cam.ac.uk/handle/1810/254300.

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Radiotherapy delivered using scanned beams of protons enables greater conformity between the dose distribution and the tumour than conventional radiotherapy using X rays. However, the dose distributions are more sensitive to changes in patient anatomy, and tend to deteriorate in the presence of motion. Online dose calculation during treatment delivery offers a way of monitoring the delivered dose in real time, and could be used as a basis for mitigating the effects of motion. The aim of this work has therefore been to investigate how the computational power offered by graphics processing units

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Ling, Cheng. "High performance bioinformatics and computational biology on general-purpose graphics processing units." Thesis, University of Edinburgh, 2012. http://hdl.handle.net/1842/6260.

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Bioinformatics and Computational Biology (BCB) is a relatively new multidisciplinary field which brings together many aspects of the fields of biology, computer science, statistics, and engineering. Bioinformatics extracts useful information from biological data and makes these more intuitive and understandable by applying principles of information sciences, while computational biology harnesses computational approaches and technologies to answer biological questions conveniently. Recent years have seen an explosion of the size of biological data at a rate which outpaces the rate of increases

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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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Segura, Salvador Albert. "High-performance and energy-efficient irregular graph processing on GPU architectures." Doctoral thesis, Universitat Politècnica de Catalunya, 2021. http://hdl.handle.net/10803/671449.

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Graph processing is an established and prominent domain that is the foundation of new emerging applications in areas such as Data Analytics and Machine Learning, empowering applications such as road navigation, social networks and automatic speech recognition. The large amount of data employed in these domains requires high throughput architectures such as GPGPU. Although the processing of large graph-based workloads exhibits a high degree of parallelism, memory access patterns tend to be highly irregular, leading to poor efficiency due to memory divergence.In order to ameliorate these issues,

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vechalapu, uday bhaskar. "Real-Time 2D Digital Image Correlation to Measure Surface Deformation on Graphics Processing Unit using CUDA C." University of Akron / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=akron1522108261138081.

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Pal, Asmita. "Split Latency Allocator: Process Variation-Aware Register Access Latency Boost in a Near-Threshold Graphics Processing Unit." DigitalCommons@USU, 2018. https://digitalcommons.usu.edu/etd/7155.

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Over the last decade, Graphics Processing Units (GPUs) have been used extensively in gaming consoles, mobile phones, workstations and data centers, as they have exhibited immense performance improvement over CPUs, in graphics intensive applications. Due to their highly parallel architecture, general purpose GPUs (GPGPUs) have gained the foreground in applications where large data blocks can be processed in parallel. However, the performance improvement is constrained by a large power consumption. Likewise, Near Threshold Computing (NTC) has emerged as an energy-efficient design paradigm. Hence

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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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Eklund, Anders, Paul Dufort, Daniel Forsberg, and Stephen LaConte. "Medical Image Processing on the GPU : Past, Present and Future." Linköpings universitet, Medicinsk informatik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-93673.

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Graphics processing units (GPUs) are used today in a wide range of applications, mainly because they can dramatically accelerate parallel computing, are affordable and energy efficient. In the field of medical imaging, GPUs are in some cases crucial for enabling practical use of computationally demanding algorithms. This review presents the past and present work on GPU accelerated medical image processing, and is meant to serve as an overview and introduction to existing GPU implementations. The review covers GPU acceleration of basic image processing operations (filtering, interpolation, hist

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Panwar, Lokendra Singh. "Performance Modeling, Optimization, and Characterization on Heterogeneous Architectures." Thesis, Virginia Tech, 2014. http://hdl.handle.net/10919/50585.

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Today, heterogeneous computing has truly reshaped the way scientists think and approach high-performance computing (HPC). Hardware accelerators such as general-purpose graphics processing units (GPUs) and Intel Many Integrated Core (MIC) architecture continue to make in-roads in accelerating large-scale scientific applications. These advancements, however, introduce new sets of challenges to the scientific community such as: selection of best processor for an application, effective performance optimization strategies, maintaining performance portability across architectures etc. In this thes

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Henriksson, Jonas. "Implementation of a real-time Fast Fourier Transform on a Graphics Processing Unit with data streamed from a high-performance digitizer." Thesis, Linköpings universitet, Programvara och system, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-113389.

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In this thesis we evaluate the prospects of performing real-time digital signal processing on a graphics processing unit (GPU) when linked together with a high-performance digitizer. A graphics card is acquired and an implementation developed that address issues such as transportation of data and capability of coping with the throughput of the data stream. Furthermore, it consists of an algorithm for executing consecutive fast Fourier transforms on the digitized signal together with averaging and visualization of the output spectrum. An empirical approach has been used when researching differe

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McKeon, Sean Patrick. "A GPU Stream Computing Approach to Terrain Database Integrity Monitoring." Digital Archive @ GSU, 2009. http://digitalarchive.gsu.edu/cs_theses/65.

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Synthetic Vision Systems (SVS) provide an aircraft pilot with a virtual 3-D image of surrounding terrain which is generated from a digital elevation model stored in an onboard database. SVS improves the pilot's situational awareness at night and in inclement weather, thus reducing the chance of accidents such as controlled flight into terrain. A terrain database integrity monitor is needed to verify the accuracy of the displayed image due to potential database and navigational system errors. Previous research has used existing aircraft sensors to compare the real terrain position with the pred

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Tuft, David Owen. "System for Collision Detection Between Deformable Models Built on Axis Aligned Bounding Boxes and GPU Based Culling." BYU ScholarsArchive, 2007. https://scholarsarchive.byu.edu/etd/1120.

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Collision detection between deforming models is a difficult problem for collision detection systems to handle. This problem is even more difficult when deformations are unconstrained, objects are in close proximity to one another, and when the entity count is high. We propose a method to perform collision detection between multiple deforming objects with unconstrained deformations that will give good results in close proximities. Currently no systems exist that achieve good performance on both unconstrained triangle level deformations and deformations that preserve edge connectivity. We propos

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Bardella, Tiago Ungaro. "Otimização de multidões em jogos digitais utilizando CUDA." Universidade Presbiteriana Mackenzie, 2015. http://tede.mackenzie.br/jspui/handle/tede/1468.

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Made available in DSpace on 2016-03-15T19:38:03Z (GMT). No. of bitstreams: 1 TIAGO UNGARO BARDELLA.pdf: 2553991 bytes, checksum: f8e6ba33f7c930ee81f6b64116f495ff (MD5) Previous issue date: 2015-10-19<br>The history of digital games shows, since the beginning, games which uses many types of enemy models to confront and many types of characters to control, like Real-Time Strategy games, for example. These huge amount of models into an important scene are called crowds. The crowds needs a high computer performance and specific algorithms in their interaction control to avoid immersion loss into

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Harris, Christopher John. "A parallel model for the heterogeneous computation of radio astronomy signal correlation." University of Western Australia. School of Physics, 2009. http://theses.library.uwa.edu.au/adt-WU2010.0019.

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The computational requirements of scientific research are constantly growing. In the field of radio astronomy, observations have evolved from using single telescopes, to interferometer arrays of many telescopes, and there are currently arrays of massive scale under development. These interferometers use signal and image processing to produce data that is useful to radio astronomy, and the amount of processing required scales quadratically with the scale of the array. Traditional computational approaches are unable to meet this demand in the near future. This thesis explores the use of heteroge

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Wang, Hongjian. "Cellular matrix for parallel k-means and local search to Euclidean grid matching." Thesis, Belfort-Montbéliard, 2015. http://www.theses.fr/2015BELF0280/document.

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Dans cette thèse, nous proposons un modèle de calcul parallèle, appelé « matrice cellulaire », pour apporter des réponses aux problématiques de calcul parallèle appliqué à la résolution de problèmes d’appariement de graphes euclidiens. Ces problèmes d’optimisation NP-difficiles font intervenir des données réparties dans le plan et des structures élastiques représentées par des graphes qui doivent s’apparier aux données. Ils recouvrent des problèmes connus sous des appellations diverses telles que geometric k-means, elastic net, topographic mapping, elastic image matching. Ils permettent de mod

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Lagarto, Jorge Miguel Raposeira. "Acceleration of physics simulation engine through OpenCL." Master's thesis, Faculdade de Ciências e Tecnologia, 2011. http://hdl.handle.net/10362/6044.

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Dissertação para obtenção do Grau de Mestre em Engenharia Informática<br>Nowadays, physics simulation is a relevant topic in several domains, from scientific areas like medicine to entertainment purposes such as movie’s effects, computer animation and games. To make easier the production of faster simulations, developers are using physics engines because they provide a variety of features like rigid and deformable body simulation, fluids dynamics and collision detection. Computer game and film industries use increasingly more physics engines in order to introduce realism in their products. I

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Bielczyk, Marek. "Algoritmy číslicového zpracování obrazu na grafických kartách." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2016. http://www.nusl.cz/ntk/nusl-242091.

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Purpose of this work is show possibility of using grapichs cart for imaging a video signal. This work is particularly focused on technology CUDA and OpenCL. The solution is first focused on graphics cart and show how has been changed components and how has been changed performaces of graphics cart. Then show CUDA and OpenCL technology itself, and show samples of codes with explain, what which code do. Output of this work is some programs, witch defined for both technology and for both procesors unit. Contribution of this work is show differents between procesors unit, witch can be used to righ

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Mendes, Sérgio Alexandre Alves. "Reconstrução de imagem médica de mamografia por emissão de positrões (PEM) com GPU." Master's thesis, Faculdade de Ciências e Tecnologia, 2011. http://hdl.handle.net/10362/7916.

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Dissertação para obtenção do Grau de Mestre em Engenharia Biomédica<br>O cancro da mama é uma das principais causas de mortes entre as mulheres, sendo a detecção precoce desta patologia uma das áreas de maior interesse e desenvolvimento nos últimos anos. O projecto Clear-PEM consistiu no desenvolvimento de um scanner baseado numa técnica tomográfica de medicina nuclear, designada por mamografia por emissão de positrões(PEM). Este scanner é constituído por duas cabeças detectoras que rodam em torno da mama, permitindo a detecção de radiação emitida do interior do corpo da paciente. Este tr

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Duchateau, Julien. "Parallélisation de simulations physiques utilisant un modéle de Boltzmann mullti-phases et multi-composants en vue d'un épandage de GNL sur sol." Thesis, Littoral, 2015. http://www.theses.fr/2015DUNK0393/document.

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Cette thèse a pour but de définir et de développer des solutions informatiques de manière à permettre la mise en place de simulations physiques sur des domaines de simulation très grands tels qu'un site industriel comme le terminal méthanier de Dunkerque. Le modèle d'écoulement mis en place est basé sur la méthode de Boltzmann sur réseau et permet de gérer de nombreux cas de simulation. Différentes architectures de calculs sont étudiées dans ce travail de thèse. L'utilisation du processeur central ainsi que de processeurs graphiques pour la parallélisation des calculs est abordée. Des solution

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Kinderis, Povilas. "Eismo dalyvių kelyje atpažinimas naudojant dirbtinius neuroninius tinklus ir grafikos procesorių." Master's thesis, Lithuanian Academic Libraries Network (LABT), 2014. http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2011~D_20140627_170426-28358.

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Kasmet daugybė žmonių būna sužalojami autoįvykiuose, iš kurių dalis sužalojimų būna rimti arba pasibaigia mirtimi. Dedama vis daugiau pastangų kuriant įvairias sistemas, kurios padėtų mažinti nelaimių skaičių kelyje. Tokios sistemos gebėtų perspėti vairuotojus apie galimus pavojus, atpažindamos eismo dalyvius ir sekdamos jų padėtį kelyje. Eismo dalyvių kelyje atpažinimas iš vaizdo yra pakankamai sudėtinga, daug skaičiavimų reikalaujanti problema. Šiame darbe šiai problemai spręsti pasitelkti stereo vaizdai, nesugretinamumo žemėlapis bei konvoliuciniai neuroniniai tinklai. Konvoliuciniai neuron

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Ting, Samuel T. "An Efficient Framework for Compressed Sensing Reconstruction of Highly Accelerated Dynamic Cardiac MRI." The Ohio State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=osu1452164320.

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Čermák, Michal. "Detekce pohyblivého objektu ve videu na CUDA." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2011. http://www.nusl.cz/ntk/nusl-236992.

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This thesis deals with model-based approach to 3D tracking from monocular video. The 3D model pose dynamically estimated through minimization of objective function by particle filter. Objective function is based on rendered scene to real video similarity.

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"Efficient image/video restyling and collage on GPU." 2013. http://library.cuhk.edu.hk/record=b5549735.

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創意媒體研究中，圖像/視頻再藝術作為有表現力的用戶定制外觀的創作手段受到了很大關注。交互設計中，特別是在圖像空間只有單張圖像或視頻輸入的情況下，運用計算機輔助設計虛擬地再渲染關注物體的風格化外觀來實現紋理替換是很強大的。現行的紋理替換往往通過操作圖像空間中像素的間距來處理紋理扭曲，原始圖像中潛在的紋理扭曲總是被破壞，因為現行的方法要麼存在由於手動網格拉伸導致的不恰當扭曲，要麼就由於紋理合成而導致不可避免的紋理開裂。圖像/視頻拼貼畫是被發明用以支持在顯示畫布上並行展示多個物體和活動。隨著數字視頻俘獲裝置的快速發展，相關的議題就是快速檢閱和摘要大量的視覺媒體數據集來找出關注的資料。這會是一項繁瑣的任務來審查長且乏味的監控視頻並快速把握重要信息。以關鍵信息和縮短視頻形式為交流媒介，視頻摘要是增強視覺數據集瀏覽效率和簡易理解的手段。<br>本文首先將圖像/視頻再藝術聚焦在高效紋理替換和風格化上。我們展示了一種交互紋理替換方法，能夠在不知潛在幾何結構和光照環境的情況下保持相似的紋理扭曲。我們運用SIFT 棱角特徵來自然地發現潛在紋理扭曲，並應用梯度深度圖復原和皺褶重要性優化來完成扭曲過程。我們運用GPU-CUDA 的並行性，通過實時雙邊網格和特徵導向的扭曲優化來促成交互紋理替換。我們運用基於塊的實時高精度TV-L¹光流，通過基於關鍵幀的紋理傳遞來完成視頻紋理替換。我們進一步研究了基於GPU

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Asgari, Kamiabad Amirhassan. "Implementing a Preconditioned Iterative Linear Solver Using Massively Parallel Graphics Processing Units." Thesis, 2011. http://hdl.handle.net/1807/27321.

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The research conducted in this thesis provides a robust implementation of a preconditioned iterative linear solver on programmable graphic processing units (GPUs). Solving a large, sparse linear system is the most computationally demanding part of many widely used power system analysis. This thesis presents a detailed study of iterative linear solvers with a focus on Krylov-based methods. Since the ill-conditioned nature of power system matrices typically requires substantial preconditioning to ensure robustness of Krylov-based methods, a polynomial preconditioning technique is also studied in

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Rengasamy, Vasudevan. "A Runtime Framework for Regular and Irregular Message-Driven Parallel Applications on GPU Systems." Thesis, 2014. http://etd.iisc.ac.in/handle/2005/3193.

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The effective use of GPUs for accelerating applications depends on a number of factors including effective asynchronous use of heterogeneous resources, reducing data transfer between CPU and GPU, increasing occupancy of GPU kernels, overlapping data transfers with computations, reducing GPU idling and kernel optimizations. Overcoming these challenges require considerable effort on the part of the application developers. Most optimization strategies are often proposed and tuned specifically for individual applications. Message-driven executions with over-decomposition of tasks constitute an im

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Rengasamy, Vasudevan. "A Runtime Framework for Regular and Irregular Message-Driven Parallel Applications on GPU Systems." Thesis, 2014. http://hdl.handle.net/2005/3193.

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The effective use of GPUs for accelerating applications depends on a number of factors including effective asynchronous use of heterogeneous resources, reducing data transfer between CPU and GPU, increasing occupancy of GPU kernels, overlapping data transfers with computations, reducing GPU idling and kernel optimizations. Overcoming these challenges require considerable effort on the part of the application developers. Most optimization strategies are often proposed and tuned specifically for individual applications. Message-driven executions with over-decomposition of tasks constitute an im

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Pandit, Prasanna Vasant. "Cooperative Execution of Opencl Programs on Multiple Heterogeneous Devices." Thesis, 2013. http://etd.iisc.ac.in/handle/2005/3468.

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Computing systems have become heterogeneous with the increasing prevalence of multi-core CPUs, Graphics Processing Units (GPU) and other accelerators in them. OpenCL has emerged as an attractive programming framework for heterogeneous systems. However, utilizing mul- tiple devices in OpenCL is a challenge as it requires the programmer to explicitly map data and computation to each device. Utilizing multiple devices simultaneously to speed up execu- tion of a kernel is even more complex, as the relative execution time of the kernel on different devices can vary signiﬁcantly. Also, after each ke

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Pandit, Prasanna Vasant. "Cooperative Execution of Opencl Programs on Multiple Heterogeneous Devices." Thesis, 2013. http://etd.iisc.ernet.in/2005/3468.

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Computing systems have become heterogeneous with the increasing prevalence of multi-core CPUs, Graphics Processing Units (GPU) and other accelerators in them. OpenCL has emerged as an attractive programming framework for heterogeneous systems. However, utilizing mul- tiple devices in OpenCL is a challenge as it requires the programmer to explicitly map data and computation to each device. Utilizing multiple devices simultaneously to speed up execu- tion of a kernel is even more complex, as the relative execution time of the kernel on different devices can vary signiﬁcantly. Also, after each ke

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