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 20 of 622 for “"Gpu"”.
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GPU accelerated risk quantification
… when using modern Graphics Processing Units (GPUs). Such parallelized simulations have been shown to produce significant speedups, in some cases up to 3,000 times faster then the sequential versions. Due to the FAIR simulation's need for many samples from various beta distributions, three …
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GPU-Optimized Molecular Dynamics Simulations
… its substituent particles. We then present novel GPU-specific performance optimization techniques for MD simulations, including 1) a new Verlet-type neighbor list algorithm that is readily implemented using the CUDPP library and 2) data type compression scheme, as well as standard GPU-optimization …
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GPU Execution Tracing and Compression
… These concerns are greatly exacerbated on GPUs due to the large amount of parallelism. In fact, GPUs provide such massive parallelism that conventional tracing approaches either fail or only manage to trace very few events per thread. Hence, we need not only a low-overhead but also a …
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GPU Accelerated Refined Tensor Voting
… 2D Tensor Voting algorithm using CUDA on NVIDIA GPUs. We discuss the challenges of parallelizing the algorithm, including a discussion between the scatter and gather versions. Experimental results show that parallelizing the Tensor Voting algorithm with CUDA can achieve up to three orders of …
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Front Rendering on the GPU
… from the CPU to the Graphics Processing Unit (GPU). This method extracts glyph metrics from Truetype font files using the FreeType library, processes all glyph data in the font file and places it into a form that can be used by GPU shader programs to draw the glyphs such that the visual quality …
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Reliability Enhancement in GPU Architectures
L'abstract è presente nell'allegato / the abstract is in the attachment
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GPU implementation of block transforms
… ability of Graphics Processing Units (GPUs) has been mainly limited for rendering and visualization application by architecture and programming model. However, with increasing programmability and architecture progress, GPUs inherent massively parallel computational ability have become …
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GPU-enhanced power flow analysis
… the utilization of Graphics Processing Units (GPUs) to improve the Power Flow (PF) analysis of modern power systems. GPUs are powerful vector co-processors that have been very useful in the acceleration of several computational intensive applications. PF analysis is the steady-state analysis of …
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GPU ray tracing with CUDA
… methods. Fortunately, technological advances in GPU computing have provided the means to accelerate the ray tracing process to produce images in a significantly shorter time. This paper attempts to clearly illustrate the difference in rendering speed and design by developing and comparing a …
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GPU-based Compressive Volume Rendering
… hardware has resulted in the adoptation of the GPU as a solution for the degradation issue in a volume renderer. However there is a caveat, with the use of the GPU as a solution; as the GPUs memory size and long data transfer times between CPU and GPU limit the performance of the GPU based …
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Towards GPU-accelerated discrete optimization
… accelerators, such as Graphics Processing Units (GPUs), which now constitute a significant portion of the modern HPC infrastructure. Primarily known for their use in graphics rendering and artificial intelligence, we show that GPUs can also be used to accelerate discrete optimization algorithms. …
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GPU accelerated transportation simplex algorithm
Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2024-08-01
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Multilevel multidimensional scaling on the GPU
… to exploit modern graphics processing unit (GPU) hard-ware. We also present GPU-SF, a parallel, force-based subsystem used by Glimmer. Glimmer organizes input into a hierarchy of levels and recursively applies GPU-SF to combine and refine the levels. The multilevel nature of the algorithm …
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GPU-Accelerated Point-Based Color Bleeding
… acceleration; our contribution incorporates GPU-accelerated rasterization into the cube-face raster phase. The goal is to leverage the powerful rasterization capabilities of modern graphics processors in order to speed up the PBCB algorithm over standard software rasterization. Additionally, …
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Parallel Black Oil Solvers on GPU
… a reservoir simulator. Graphics Processing Unit (GPU), a new high-profile parallel processor with hundreds of microprocessors, stands out in parallel simulation because of its efficient power utilization and high computational efficiency. Also, its cost is relatively low, making large-scale …
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GPU acceleration for spherical grid tomography
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-03-28 without embargo terms
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A GPU accelerated RNA-RNA interaction program
… there is a need for high-throughput RRI tools. GPU parallelization of such algorithms is a challenge. We first show that the most computationally expensive part of base pair maximization (BPM) algorithms comprises O(N3) instances of upper banded tropical matrix products. We develop the first GPU …
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