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 25 for “"Acceleration techniques"”.
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Inference neural network hardware acceleration techniques
A number of recent researches focus on designing accelerators for popular deep learning algorithms. Most of these algorithms heavily involve matrix multiplication. As a result, building a neural processing unit (NPU) beside the CPU to accelerate matrix multiplication is a popular approach. The NPU …
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On Vector Sequence Transforms and Acceleration Techniques
<p>This dissertation is devoted to the acceleration of convergence of vector sequences. This means to produce a replacement sequence from the original sequence with higher rate of convergence.</p> <p>It is assumed that the sequence is generated from a linear matrix iteration x<sub>i</sub>+ i = …
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Analysis of Acceleration Techniques and Fast Nonlinear Solvers
… focuses on the analysis and development of acceleration techniques and fast solvers for nonlinear systems of equations. Building upon the fixed-point and extrapolation frameworks introduced in the early chapters, we explore structural connections between residual-based acceleration methods …
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A General Framework of Large-Scale Convex Optimization Using Jensen Surrogates and Acceleration Techniques
… growing faster than computing power, algorithmic acceleration based on developments in mathematical optimization plays a crucial role in narrowing the gap between the two. As the scale of optimization problems in many fields is getting larger, we need faster optimization methods that not only work …
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Acceleration Techniques for Industrial Large Eddy Simulation with High-Order Methods on CPU-GPU Clusters
… as the spatial discretization scheme. First, two acceleration techniques are investigated: the p-multigrid algorithm and Mach number preconditioning. The Weiss and Smith low Mach number preconditioner is used together with the p-multigrid method, and the third order explicit Runge-Kutta (RK3) …
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Acceleration techniques for the radiative analysis of general computational fluid dynamics solutions using reverse Monte-Carlo ray tracing
… for comparison and study purposes. Three acceleration techniques are tried. One acceleration technique reduces the grid dimensions to reduce the number of volumes intersected. The second acceleration technique develops a version of the code for execution in a parallel processing …
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Solution Acceleration and Accuracy Improvements for Navier-Stokes Solvers
… problems, and (3) combine different solution acceleration techniques to produce a robust and efficient flow solver.
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Projection Methods for Improved Performance in Adaptive Systems
… methods may be further enhanced by the use of acceleration techniques originally developed in a row-projection framework. Use of all these techniques is explored in a number of applications including system identification, channel equalization, two-dimensional adaptive processing, adaptive …
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Model Acceleration for Efficient Deep Learning Computing
… address these concerns, building effective model acceleration techniques is critical to closing the gap between supply and demand for computing. This thesis will cover three important aspects of model acceleration. First, we will discuss efficient representation learning, including EfficientViT (a …
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Harmonic Analysis Inspired Data Fusion for Applications in Remote Sensing
… space) we develop and test different data fusion techniques. We also investigate how partially labeled data and approximate LE preimages can used to achieve data fusion. Lastly, we study several numerical acceleration techniques that can be used to augment the developed algorithms, namely the …
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Accelerated Ray Traced Animations Exploiting Temporal Coherence
… of intersection calculations. Both of these techniques exploit spatial coherence. These acceleration techniques are expanded not only to exploit spatial coherence but also to exploit temporal coherence in order to reduce calculations by treating animation information as a whole as opposed to …
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Fast distributed first-order methods
… fast distributed method that uses Nesterov-type acceleration techniques and multiple communication steps per iteration. Our method achieves exact convergence at the rate of O(1/t) (where t is the number of communication steps taken), which is superior than the rates of existing gradient or …
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Fast methods for full-wave electromagnetic solvers in MRI
… In this work, we develop a set of numerical acceleration techniques that facilitate fast field simulations that bridge the gap between the performance of current state-of-art full-wave electromagnetic packages and time requirements dictated by real-time patient-specific field optimization in …
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Real-time Visualization of Massive 3D Models on GPU Parallel Architectures
… memory available in a workstation. Most existing acceleration techniques, such as mesh simplification algorithms with hierarchical data structures, suffer from the nature of sequential executions. As data complexity increases due to the fundamental advances in modeling and simulation technologies, …
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GePSeA: A General-Purpose Software Acceleration Framework for Lightweight Task Offloading
Hardware-acceleration techniques continue to be used to boost the performance of scientific codes. To do so, software developers identify portions of these codes that are amenable for offloading and map them to hardware accelerators. However, offloading such tasks to specialized hardware …
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Post-Processing Techniques and Wavelet Applications for Hammerstein Integral Equations
… In the first part of this dissertation, several acceleration techniques for post-processed solutions of the Hammerstein equation are discussed. The post-processing techniques are implemented based on interpolation and extrapolation. In this connection, we generalize the results in [29] and [28] …
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A Framework for Benchmarking Graph-Based Artificial Intelligence
… representations, algorithms, and hardware acceleration techniques can trigger unpredictable changes in efficiency. Although benchmarks enable testing different GraphAI implementations, most cannot currently capture the complex interaction between effectiveness and efficiency, especially …
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Investigation of general-purpose computing on graphics processing units and its application to the finite element analysis of electromagnetic problems
… of GPUs are investigated, and the corresponding acceleration techniques are applied on the traditional frequency domain finite element method (FEM), the element-level time-domain methods, and the nonlinear discontinuous Galerkin method. First, the assembly and the solution phases of the FEM are …
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Model Reduction and Domain Decomposition Methods for Uncertainty Quantification
<p>This dissertation focuses on acceleration techniques for Uncertainty Quantification (UQ). The manuscript is divided into five chapters. Chapter 1 provides an introduction and a brief summary of Chapters 2, 3, and 4. Chapter 2 introduces a model reduction strategy that is used in the context of …
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Antenna effects on indoor wireless channels and a deterministic wide-band propagation model for in-building personal communication systems
… of objects are on the order of a few hundred. Acceleration techniques for the algorithm are also discussed in the thesis.
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