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 23 for “"out-of-core"”.
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Out-of-core image techniques with extensions for WAMI
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI-COLUMBIA AT AUTHOR'S REQUEST.] Out-of-core image techniques provide for interactive visualization, analysis, and processing of extremely large images exceeding primary memory. This requires specialized data formats for fast random access to data …
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External Memory Algorithms for Factoring Sparse Matrices
<p>We consider the factorization of sparse symmetric matrices in the context of a two-layer storage system: disk/core. When the core is sufficiently large the factorization can be performed in-core. In this case we must read the input, compute, and write the output, in this sequence. On the other …
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Optimizing Out-Of-Memory Sparse-Dense Matrix Multiplication
We will examine state-of-the-art approaches for sparse-dense matrix multiplication (SpMDM), with a focused application on graph machine learning workloads, such as graph neural networks (GNNs), though this work is general enough such that it should apply to any application tailored for running …
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Evaluation of the frontal solver on the IBM PC
In this thesis, frontal subroutines are implemented to a plane frame analysis program for execution on the IBM PC. The resulting program solves for the unknown joint displacements of frame structures with large numbers of degrees of freedom by utilizing a peripheral back-up storage; which can not …
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Acceleration of the noise suppression component of the DUCHAMP source-finder
The next-generation of radio interferometer arrays - the proposed Square Kilometre Array (SKA) and its precursor instruments, The Karoo Array Telescope (MeerKAT) and Australian Square Kilometre Path finder (ASKAP) - will produce radio observation survey data orders of magnitude larger than current …
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Preslab - micro-computer analysis and design of prestressed concrete slabs
… based package for the analysis and design of prestressed flat slabs is presented. The constant strain triangle and the discreet Kirchhoff plate bending triangle are combined to provide an efficient "shell" element. These triangles are used for the finite element analysis of prestressed flat …
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Scaling short read de novo DNA sequence assembly to gigabase genomes
The recent advent of massively parallel sequencing technologies has drastically reduced the cost of sequencing, sparking a revolution in whole genome de novo sequencing. However, these new technologies sample much shorter segments of DNA, called short reads, than conventional but more costly long …
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Implementing a Tiled Singular Value Decomposition: A Framework for Tiled Linear Algebra in Julia
… to enhance accessibility and usability without compromising performance. By providing a flexible abstraction layer, the framework simplifies the development and testing of new algorithms across diverse computing architectures. Julia language’s multiple-dispatch and type inference facilitate …
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Static and dynamic analysis of linear elastic systems on non-prismatic three dimensional beam elements
… NONPRI, has been developed for the analysis of three dimensional skeletal assemblages consisting of non-prismatic members. It is capable of static and dynamic analysis of structures consisting of members whose constitutive relationship is linear elastic. The finite element formulation is …
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Scalable and Productive Data Management for High-Performance Analytics
… sizes. Extracting knowledge from this wealth of data enables scientific discoveries at unprecedented scales. However, the sheer volume of the gathered datasets is a bottleneck for knowledge discovery. High-performance computing (HPC) provides a scalable infrastructure to extract knowledge from …
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IN-CORE MEASUREMENT OF DELAYED-NEUTRON PARAMETERS.
An in-core experiment is proposed to measure all delayed-neutron parameters (λᵢ and βᵢ for each delayed group) and the neutron generation time applicable for a given reactor system. The method uses a least-squares fitting technique to simultaneously fit a series of transient responses produced by …
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Real-time Visualization of Massive 3D Models on GPU Parallel Architectures
Real-time rendering of massive 3D models has been recognized as a challenging task due to the limited computational power and memory available in a workstation. Most existing acceleration techniques, such as mesh simplification algorithms with hierarchical data structures, suffer from the nature of …
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Speculative ray scheduling for large data visualization on supercomputers
… global illumination is inefficient because of the I/O overhead incurred by rays migrating from one partition to another. For such data, ray scheduling methods have demonstrated improved rendering performance by amortizing costs across a large group of rays. However, ray schedulers are prone …
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Real-time Shadows for Gigapixel Displacement Maps
… standpoint, they help to add data without unnecessary clutter. In video games they add realism and depth. In common graphics pipelines, due to the independent and parallel rendering of geometric primitives, shadows are difficult to achieve. Objects require knowledge of each other and …
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Recognition, Mining, Synthesis and Estimation (Rmse) for Large-Scale Visual Data Using Multilinear Models
In this dissertation, we show the power of multilinear models in recognition, mining, synthesis, and estimation (RMSE) for large-scale tensor visual data in computer vision and graphics. We develop novel algorithms based on multilinear models to efficiently explore the relationship of multiple …
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Actinide minimization using pressurized water reactors
… Examining the maximum possible burning of trans-uranic elements in Combined Non-Fertile and U02 (CONFU) PWR assemblies is evaluated. These assemblies are composed of a mix of standard U02 fuel pins and pins made of recycled trans-uranics (TRU) in an inert matrix, and are designed to fit …
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Efficient Systems for Large-Scale Graph Representation Learning
… networks (GNNs), which integrate the power of deep learning with graph structures, have emerged as the leading methods in this field, delivering superior performance across diverse graph related tasks. However, training graph neural networks on large-scale datasets encounters scalability …
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Elk (Cervus elaphus) response to anthropogenic disturbance: hunting, land use, and climate change
… underlying the distribution and abundance of wildlife species remains a central question of wildlife ecology and has become increasingly complex as humans continue to alter landscape conditions. During the past 50 years, elk in eastern Washington have expanded their year-long ranges into …
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The Design of a Loop for the Study of the Corrosion of Light Water Reactor Materials
… in DSpace on 2017-07-06T18:42:29Z (GMT). No. of bitstreams: 3 Boyd_Gary_J_MS.pdf: 45786511 bytes, checksum: 9408f1a26e7d2ecaaa4171233074e13d (MD5) Boyd_Gary_J_MS_ABS.pdf: 375111 bytes, checksum: ba93be79789464bc275222a9b5eea758 (MD5) license.txt: 4813 bytes, checksum: …
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Gravity-driven continuous thin film flow over topography
… at a systematic theoretical investigation of gravity-driven thin film flow over various topographical features, the effect of inertia being of particular interest. The problem is solved using a hierarchy of models based, in order of decreasing complexity, on (i) the full Navier-Stokes …
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