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 11 of 11 for “"matrix storage"”.
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Digital load flow analysis using general matrix storage and non-zero element storage
… the corrections to the bus voltages are general matrix storage and nonzero element storage. In the general matrix all matrices are used with every element represented. In the non-zero routine, only nonzero entries in the YBUS and the Jacobian matrix are stored. Along with the non-zero routine, a …
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High-Performancs Sparse Matrix-Vector Multiplication on GPUS for Structured Grid Computations
In this thesis, we address efficient sparse matrix-vector multiplication for matrices arising from structured grid problems with high degrees of freedom at each grid node. Sparse matrix-vector multiplication is a critical step in the iterative solution of sparse linear systems of equations arising …
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A linear multigrid preconditioner for the solution of the Navier-Stokes equations using a discontinuous Galerkin discretization
… memory and CPU time over the traditional dual matrix storage format. A linear p-multigrid algorithm using element Line-Jacobi, and Block-ILU(O) smoothing is presented as a preconditioner to GMRES.
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A new method to calculate wave scattering from rough surfaces at low grazing angles
… The method presented in this work eliminates the matrix storage difficulties previously associated with solving this problem and significantly reduces the computation time, while providing a highly accurate solution over a large range of incident and scattering angles, as well as surface …
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Exploring Accumulated Gradient-Based Quantization and Compression for Deep Neural Networks
… by post-training quantization. We assume storage of the quantized parameters using compressed sparse row format for sparse matrix storage. On LeNet-300-100 (MNIST dataset), LeNet-5 (MNIST dataset), AlexNet (CIFAR-10 dataset) and VGG-16 (CIFAR-10 dataset), post-training quantization …
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Efficient storage of versioned matrices
Versioned-matrix storage is increasingly important in scientific applications. Various computer-based scientific research, from astronomy observations to weather predictions to mechanical finite-element analyses, results in the generation of large matrices that must be stored and retrieved. Such …
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Parallel acceleration of deadlock detection and avoidance algorithms on GPUs
… minimal interaction with the CPU by implementing matrix storage and algorithm computations on the GPU, thus providing an interactive service type of behavior. As a result of this approach, both algorithms were able to achieve speedups over two orders of magnitude higher than their serial CPU …
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Rough Surface Scattering and Propagation over Rough Terrain in Ducting Environments
… and efficient method that does not require matrix storage or inversion. The proposed method is meant as a benchmark for people studying forward propagation over rough surfaces using the parabolic wave equation (PWE). Rough surface scattering results obtained via the PWE/split-step approach …
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Application of advanced diagonalization methods to quantum spin systems.
… and associated eigenvectors of the Hamilton matrix of the quantum system. The computational problem is thus to determine the lowest eigenpairs of an extremely large, sparse matrix. Although many sophisticated iterative techniques for the determination of a small number of lowest eigenpairs …
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Practical, High-Speed, Gaussian Modulated Coherent State Continuous Variable Quantum Key Distribution with Real-Time Post Processing
… techniques such as multi-threading and sparse matrix storage for parity check matrices are utilised on the central processing unit. Error correction speeds of up to 9.6 Mb/s have been achieved here. With the fast Fourier transform based privacy amplification method, throughput rates up to 9.3 …