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 16 of 16 for “"Graphics Processing Units (GPU)"”.
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GPU and Krylov Based Parallel Model Order Reduction Algorithms for MIMO Circuit Reductions
… advanced to the emerging computing platforms of Graphics Processing Units (GPU) with Tensor Cores (TC), yielding significant speed-up compared to using the traditional multi-core CPUs.
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GPU accelerated Hungarian algorithm for traveling salesman problem
… Device Architecture (CUDA) enabled NVIDIA Graphics Processing Units (GPU) as the parallel programming architecture. The aim of this thesis is to make use of a modified version of the Dual Ascent-LAP solver to solve the TSP. Though this procedure is computational expensive, the bounds …
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A real-time computer vision library for heterogeneous processing environments
With a variety of processing technologies available today, using a combination of different technologies often provides the best performance for a particular task. However, unifying multiple processors with different instruction sets can be a very ad hoc and difficult process. The Open Component …
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List Mode Reconstruction in X-Ray CT and SPECT Imaging
… CT system. In the reconstruction process, graphics processing units (GPU) were applied to accelerate the computational speed. To present comprehensive results, the results under different noise levels and the impact of applied filters were demonstrated.
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GPU-based acceleration of radio interferometry point source visibility simulations in the MeqTrees framework
… (SIMD) architectures in modern commodity Graphics Processing Units (GPU). With many traditional high performance computing techniques requiring high entry and maintenance costs, GPUs have proven to be a cost effective and high performance parallelisation tool for SIMD problems such as PSV …
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Fast presenter tracking for 4K lecture videos using computationally inexpensive algorithms
… commodity computers without requiring expensive Graphics Processing Units (GPU) or servers. An external VC can use our contextual information to segment a smaller cropping window from the 4K frame, only containing the presenter and relevant boards, drastically reducing the file size of the …
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Development and application of Lattice Boltzmann and accurate volume of fluid numerical techniques on graphics processing units
… LBM procedures and VOF are implemented to run on graphics processing units (GPU) including multiple CPU-GPU platforms. The throughput of a single GPU LBM code is approximately 16 times higher that of a single CPU code. The scaling of a multi-GPU VOF code is nearly linear on the Blue Waters …
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Human-Robot Interaction with Pose Estimation and Dual-Arm Manipulation Using Artificial Intelligence
… (1) parallel ensembles architecture and multiple Graphics Processing Units (GPU) make distributed computation possible, and (2) each individual ensemble can be deployed independently, making the processing more efficient when the detection of only some specific limbs is needed for the tasks. …
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Modeling, Simulation, And Visualization Of 3d Lung Dynamics
… optimizing the deformation using state-of-art Graphics Processing Units (GPU). The validation of the results obtained in the first two modeling steps is also discussed for normal human subjects. Disease states such as Pneumothorax and lung tumors are modeled using the proposed deformation …
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Analysis of communication and computation overlap in accelerated programs
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2022-11-11 without embargo terms
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PyStream: Python Shaders Running on the GPU
Abstract Graphics processing units (GPUs) have tremendous computing power, but are hard to program. Most GPU programming languages are extremely low level; no one has run a general-purpose high-level language on a GPU. This dissertation shows how to run Python shaders on a GPU for real-time …
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Modified nodal integral method for Navier-Stokes equations incorporated with generic quadrilateral elements, and GPU-based parallel computing
… developed earlier for rectangular domains, on graphics processing units (GPUs). Nodal methods have become the backbone and workhorse of the core design production codes used in the nuclear industry for decades. As a variation of the coarse mesh nodal methods, the modified nodal integral method …
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Lengthening the timescale reach of molecular dynamics
… advanced computing technologies, such as graphics processing units, accelerate simulation speeds of hybrid GB/SA implicit solvent models, thereby directly increasing simulation lengths.
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GPU-accelerated solutions for higher-order assignment and graph partition problems
Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2025-05-01
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Theoretical and computational advances in finite-size facility placement and assignment problems
The goal of this research is to develop fundamental theory and exact solution methods for the optimal placement of multiple, finite-size, rectangular facilities in presence of existing rectangular facilities, in a plane. Applications of this research can be found in facility layout (re)design in …
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Accelerated sampling of energy landscapes
… energy landscape methods were accelerated using graphics processing units (GPUs). Basin-hopping global optimisation was treated using a version of the limited-memory BFGS algorithm adapted for CUDA, in combination with GPU-acceleration of the potential calculation. The Lennard-Jones potential was …