Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 8 of 8 for “"NVIDIA CUDA"”.
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Applications of Riesz Transforms and Monogenic Wavelet Frames in Imaging and Image Processing
… der monogenen Wavelet Frames mit Hilfe des NVIDIA CUDA Frameworks vorzustellen. Bei einem empirischen Vergleich der vorgestellten Techniken mit den ursprünglichen Verfahren konnten präzisere Ergebnisse mit niedrigerer Rauschanfälligkeit nachgewiesen werden. Ein weiterer Punkt der Arbeit …
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GPGPU-Enabled Physics Based Deformed Model Simulation
… We further explore the latest feature of NVIDIA CUDA so that the result of GPU computation can be directly used for upcoming rendering/visualization and a significant amount of overheads for transmitting data from client GPU and host CPU via the PCI-Express bus are avoided. Real-time …
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GPU implementation of block transforms
… The focus of the thesis is to utilize NVIDIA CUDA GPUs to implement orthogonal transforms such as signal dependent Karhunen-Loeve Transform and signal independent Discrete Cosine Transform. GPU architecture and programming model are examined. Mathematical preliminaries of orthogonal …
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Accelerating the Performance of a Novel Meshless Method Based on Collocation With Radial Basis Functions By Employing a Graphical Processing Unit as a Parallel Coprocessor
… method have been executed on the GPU using the NVIDIA CUDA software development kit. Especially, the matrix fill and solution phases have been carried out on the GPU, along with some post processing. This approach resulted in a decreased processing time compared to similar algorithm implemented …
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Parallel computing solutions to the Balitsky-Kovchegov equation
… equation. Parallelisation of BK evolution using NVIDIA CUDA with implementation on a commercially available graphical processing unit (GPU) results in performance improvements of roughly an order of magnitude over comparable serial programmes. This also allows us to implement test cases which are …
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Fast simulation of E1, B1 and Specific Absorption Rate for 7T MRI with the use of graphical processors
… the use of Compute Unified Device Architecture (CUDA) enabled graphics cards in Finite Difference Time Domain (FDTD) simulations for SAR computation. We show that using this framework can speed up computation by at least an order of magnitude compared to regular CPU computation. This will allow …
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Smoothing Particle Hydrodynamics parallel implementation for numerical modelling of solid-fluid interactions
… solution is implemented on the GPU using the NVIDIA CUDA architecture. Both the serial and the parallel implementation of SPH used benchmark experiments to compare effectiveness under different conditions. Results are provided with a set of discriminants that allow the program to select which …
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Real-Time Automatic Object Classification and Tracking using Genetic Programming and NVIDIA R CUDA TM
Genetic Programming (GP) is a widely used methodology for solving various computational problems. GP's problem solving ability is usually hindered by its long execution times. In this thesis, GP is applied toward real-time computer vision. In particular, object classification and tracking using a …