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 13 of 13 for “"Graphical Processing Units (GPUs)"”.
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Event Detection and Visualization Based on Phasor Measurement Units for Improved Situational Awareness
In addition to the new methods presented for the processing of PMU data, techniques for visualization of PMU data in its processed and unprocessed forms are described. A new technique based on graphical processing units (GPUs), developed to allow rendering speeds to match the relatively fast data …
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Sparse Matrix Belief Propagation
… and tensor operations on modern hardware such as graphical processing units (GPUs). The sparse-matrix abstraction allows the implementation of belief propagation in a high-level language (e.g., Python) that is also able to leverage the power of GPU parallelization. We demonstrate sparse-matrix …
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A Work-Stealing For Dynamic Workload Balancing On CPU-GPU Heterogeneous Computing Platforms
… purpose workloads have been accelerated on graphical processing units (gpus) over the last decade, other applications whose runtime behaviors are dynamic and irregular such as ones based on trees and graphs have suffered from serious workload imbalance problem caused by architectural …
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Real-Time GPU Scheduling with Preemption Support for Autonomous Mobile Robots
The use of graphical processing units (GPUs) for autonomous robots has grown recently due to their efficiency and suitability for data intensive computation. However, the current embedded GPU platforms may lack sufficient real-time capabilities for safety-critical autonomous systems. The GPU driver …
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Unsupervised speech processing with applications to query-by-example spoken term detection
… unsupervised setting. In many real world speech processing problems, obtaining annotated data is not cost and time effective. We therefore ask how much can we learn from speech data without any transcription. To address this question, in this thesis, we chose the query-by-example spoken term …
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SemCache: Semantics-Aware Caching for Efficient GPU Offloading
<p>Graphical Processing Units (GPUs) offer massive, highly-efficient parallelism, making them an attractive target for computation-intensive applications. However, GPUs have a separate memory space which introduces the complexity of manually handling explicit data movements between GPU and CPU …
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Enhancing Portability in High Performance Computing: Designing Fast Scientific Code with Longevity
… as diverse as complex traditional Central Processing Units (CPUs), Graphical Processing Units (GPUs), and Field Programmable Gate Arrays (FPGAs). Employing generalized optimizations on a variety of development frameworks we were able to show as much as a 92.5% reduction on a pipelined …
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Accelerating induction machine finite-element simulation with parallel processing
… induction machine modeling, is explored using graphical processing units (GPUs) for parallel processing. The graphical processing units, widely used for image processing, can provide faster computation times than CPUs alone due to the thousands of small processors that comprise the GPUs. …
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Towards real-time light field processing for quantitative imaging and perception
… implementing our rendering technique to run on graphical processing units (GPUs), which have recently become affordable and easily available, we demonstrate the use of LF imaging for real-time perception for the first time. We envision that this framework can eventually help improve perception …
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Topology Optimization with Unstructured Meshes on Graphics Processing Units (GPUs)
… architectures, more speci cally on Graphics Processing Units or GPUs. Algorithms for every step in these methods are proposed and benchmarked with varied results. The ultimate goal of this work is to speed up the topology optimization process by means of parallel computing using o -the-shelf …
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Large-scale neuronal networks: from simulation technology to the study of plasticity-driven cognitive processes
… of these technologies. In recent years, Graphical Processing Units (GPUs) established themselves as promising hardware to be employed for such simulations, thanks to their high degree of parallelism, and several GPU-based simulation codes have been developed. In Part II of this thesis, we …
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Adaptive spatial image steganography and steganalysis using perceptual modelling and machine learning
… development of the computational hardware, i.e., Graphical Processing Units (GPUs), some computational expensive techniques are now available, i.e., Convolutional Neural Networks (CNNs), which bring a large improvement in the detection tasks in image steganalysis. To defend against the attacks, …
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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 …