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 22 for “"GPU Acceleration"”.
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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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Millipyde: A Cross-Platform Python Framework for Transparent GPU Acceleration
<p>The prevalence of general-purpose GPU computing continues to grow and tackle a wider variety of problems that benefit from GPU-acceleration. This acceleration often suffers from a high barrier to entry, however, due to the complexity of software tools that closely map to the underlying GPU …
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GPU acceleration of advanced K-mer counting for computational genomics
… work, we leverage the computational power of the GPU to accelerate KMC2. Our goal is to reduce the overall runtime of many genome analysis tasks that use k-mer counting as an essential step. We achieved 4.03x speedup using one GTX 1080 Ti with one CPU (Xeon E5-2603) thread and 5.88x speedup using …
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GPU acceleration of the frequency domain acceleration search for binary pulsars
Graphics processing units (GPUs) have been used to accelerate computation in a broad range of fields; this work presents a GPU-accelerated search for pulsars. Pulsars are highly magnetised neutron stars with extremely stable rotational periods. These periods can be accurately measured, which makes …
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GPUMap: A Transparently GPU-Accelerated Map Function
<p>As GPGPU computing becomes more popular, it will be used to tackle a wider range of problems. However, due to the current state of GPGPU programming, programmers are typically required to be familiar with the architecture of the GPU in order to effectively program it. Fortunately, there are …
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MONTE CARLO MODELING OF DIFFUSE REFLECTANCE AND RAMAN SPECTROSCOPY IN BIOMEDICAL DIAGNOSTICS
… implementation of graphics processing unit (GPU) acceleration. Despite impressive translational applications, the relatively recent emergence of GPU-based acceleration of MC models can still be utilized to address some pressing challenges in biomedical optics beyond DOT and PDT. The …
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Algorithmic design of wind instrument shape via 3D FDTD and deep learning
… fast 3D acoustic wind instrument simulator using GPU acceleration. In addition, we use deep learning to solve the inverse problem of generating a 3D shape that roughly approximates a desired sound when played as a single-reed instrument. Finally we develop an automatic method for determining pitch …
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A parallel multidimensional weighted histogram analysis method
… use general purpose graphics processing units (GPGPU) to accelerate the execution of the algorithm. Here we develop and evaluate a multidimensional GPGPU WHAM implementation to investigate the potential speed-up attained over its CPU counterpart. In addition, to avoid the cost of multiple …
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Discrete ordinates CT organ dose simulator (DOCTORS)
… Organ Dose Simulator (DOCTORS) which utilizes a GPU accelerated raytracer and discrete ordinate solver to compute photon flux in the patient. The flux is then converted to dose.</p><p>The DOCTORS code was benchmarked against MCNP6 and found to have good qualitative agreement using both a water …
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Galaxy evolution, cosmology and HPC : clustering studies applied to astronomy
… to test shared-memory systems using OpenMP and GPU acceleration using CUDA. Modification were then made to the code, to improve the nearest neighbour boxing technique. The results show that the modified code offers a significant improved performance. Additionally, a particularly effective …
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The Integration Of Synthetic Biology With Metabolically And Phenotypically Emergent Multicellular Simulations For Medical And Other Applications
… and resolution of biophysics using CUDA GPU acceleration, and a practical demonstration of the benefits of integrating performant modular solutions for biophysical, bioregulatory and mechanistic capabilities for visualized, high-dimensional time-course multicellular simulations, …
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Accelerated sampling of energy landscapes
… 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 implemented using CUDA, …
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Heterogeneous integration of optical wireless communications within next generation networks
… impulse response simulator model to utilize GPU acceleration and achieves 10x speedup over the previous model. A software defined testbed for OW has also been proposed and applied. The testbed implements a VLC link and a heterogeneous RF/VLC connection that demonstrates the RF/OW HetNet …
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Automating Heterogeneous Parallelism in Numerical Differential Equations
… hardware accelerators, such as CPUs and GPUs, is also investigated. Parallelism for sufficiently large stiff ODEs is traditionally linked to the parallelization of the matrix factorization stage. However, these methods still need to overcome the threading overhead for ODEs having less …
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DeepGeoMap
… TensorFlow with graphical processing unit (GPU) acceleration. This 1D spectrally focused architecture allows DeepGeoMap models to be trained with hyperspectral laboratory image data of geochemically validated samples (e.g., ground truth samples for aerial or mine face images) and then use …
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Understanding Chromatin Organization and Dynamics with Coarse-Grained Modeling
… is built on a simulation platform that supports GPU acceleration, thus speeding up CG simulations. In Chapters 4 and 5, we shift our focus to the applications of CG simulations. In Chapter 4, we discuss the force extension and inter-chain contacts of chromatin fibers. Our CG simulations reveal …
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Neural diversity in multi-agent learning
… in PyTorch. Thanks to graphics processing unit (GPU) acceleration and batching, VMAS offers incredible speed-ups with respect to previous state-of-the-art software. Secondly, we introduce BenchMARL, a MARL training library with the goal of standardising benchmarking and enabling reproducibility …
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The design and development of GPU accelerated algorithms for ab initio integrals and integral derivatives illustrated on ab initio quantum and hybrid QM/MM dynamics
Graphical Processing Units (GPUs) are highly parallel, programmable accelerators boasting high peak floating point performance. Over the last couple of years the use of GPUs for general purpose computing have revolutionized quantum chemistry. The computational bottleneck in an ab-initio quantum …
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GPU-Accelerated Point-Based Color Bleeding
… Color Bleeding algorithm through hardware 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 …
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Theoretical investigations into principles of topographic map formation and applications
… is developed and when implemented on modern GPU computational architectures is able to achieve a near- linear time complexity scaling. This model is demonstrated to capture the explanatory power of existing modelling methodologies. Finally, the role of competition is explored in a dimensional …
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