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.
Results
Showing 1 to 20 of 68 for “"computational science"”.
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Analyzing cities' complex socioeconomic networks using computational science and machine learning
… skills. Using data-driven tools from network science, machine learning, and computational science, the first question I aim to answer is the following: what role do social skills play in today's labor markets on both a micro and macro scale (e.g. individuals and cities)? Second, how could the …
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Domain-Specific Code Transformations for Computational Science based on the Polyhedral Model
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2024-03-01 without embargo terms
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ON THE EFFICIENCY OF ALGORITHMS FOR TENSOR DECOMPOSITIONS AND THEIR APPLICATIONS
… arrays, or tensors, are fundamental objects in computational science for their ability to store multi-dimensional data and to encode bilinear forms. We will consider algorithms and applications of the CP and Tucker tensor decompositions, focusing our efforts on optimizing subroutines required to …
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Galerkin Boundary Element Modeling of Three-Dimensional Functionally Graded Material Systems
… visualization, which is an integral part of computational science research, are explored in the context of boundary element method. This investigation includes developing new modules for viewing the boundary and the domain data using modern visualization tools, developing virtual reality …
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Investigation and development of a tangible technology framework for highly complex and abstract concepts
… the learning experience of abstract and complex computational science and technology-based concepts within higher educational institutions (HEI)s. Based on the proposal of a contextually apt TUI architecture, the research describes the design and development of eight distinct TUI frameworks …
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Hypergraph-Based Combinatorial Optimization of Matrix-Vector Multiplication
… computing plays an important enabling role in computational science, particularly in high performance scientific computing. In this thesis, we will describe our work on optimizing matrix-vector multiplication using combinatorial techniques. Our research has focused on two different problems in …
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Hypergraph-Based Combinatorial Optimization of Matrix -Vector Multiplication
… is a particularly important numerical kernel in computational science. We have focused on optimizing the parallel performance of this operation by reducing the communication volume through smarter, two-dimensional matrix partitioning. We have developed and implemented a recursive algorithm based …
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Software architectural support for tangible user interfaces in distributed, heterogeneous computing environments
… trends in computing, especially in areas such as computational science, scientific visualization and computer supported collaborative work, foreshadow increasing complexity, distribution and remoteness of computation and data. These trends imply that tangible interface developers must address …
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Parallel symmetric eigenvalue problem solvers
… symmetric eigenvalue problems arise in many computational science and engineering applications: in structural mechanics, nanoelectronics, and spectral reordering, for example. Often, the large size of these problems requires the development of eigensolvers that scale well on parallel …
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Implementation of a national information infrastructure: science and the building of society
… are related to the evolution into legitimate sciences of computer science and computational science. Computer science largely developed in support of work in physics and its subsidiary role was reflected in the lack of clout of most of its academic departments and the weak standing of its …
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Dynamic Workflows and Advanced Data Management for Problem Solving Environments
… the processes underlying the practice of computational science with the software artifacts constituted by the PSE. This thesis presents a workflow management solution called BREW (BetteR Experiments through Workflow management) that provides functionality along four dimensions: components …
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Higher-Order Automatic Differentiation and Its Applications
… for modeling and optimization in many fields of science and engineering, and automatic differentiation (AD) algorithms are at the heart of differentiable programming. Existing methods to achieve higher-order AD often suffer from one or more of the following problems: (1) exponential scaling with …
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Learning Machines: Pedagogy, Academic-Industrial Collaboration, and Knowledge Work in the Russian Data Sciences
… this expertise to the development of modern computational science, infrastructure, and business. As the Russian extractive economy stagnates, however, these elites are looking to data science as a privileged locus for the translation of what they call the “human resources” of excellence in …
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Mathematical Software for Multiobjective Optimization Problems
… thesis, two distinct problems in data-driven computational science are considered. The main problem of interest is the multiobjective optimization problem, where the tradeoff surface (called the Pareto front) between multiple conflicting objectives must be approximated in order to identify …
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Qualitative Software Engineering and Parallel Sorting Algorithm for Real Numbers
… paper to “The 2018 International Conference on Computational Science and Computational Intelligence 2018, Las Vegas, USA”. The paper was accepted to the conference with Paper Id “CSCI6051”. Part two is on parallel Sorting algorithm on real numbers. There are various best algorithms for sorting …
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Model Reduction for Linear Time-Varying Systems
… systems, chemical engineering, aeronautics, and computational science. They can also be used for approximation of time-invariant nonlinear models. Model reduction is a topic that deals with simplification of complex models. This is important since it facilitates analysis and synthesis of …
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SemCache: Semantics-Aware Caching for Efficient GPU Offloading
… reduce redundant communication for real-world computational science application and deliver significant performance improvements, beating GPU-based implementations like MAGMA, CULA, CUBLAS, StarPU and CUBLASXT</p>
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A computational framework for the solution of infinite-dimensional Bayesian statistical inverse problems with application to global seismic inversion
… as a central challenge facing the field of computational science and engineering. The promise of modeling and simulation for prediction, design, and control cannot be fully realized unless uncertainties in models are rigorously quantified, since this uncertainty can potentially overwhelm the …
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Data-Driven Methods for Low-Energy Nuclear Theory
<p>The term data-driven describes computational methods for numerical problem solvingwhich have been developed by the field of data science; these are at the intersection of computer science,mathematics, and statistics. When applied to a domain science like nuclear physics, especially with the …
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Molecular dynamics investigation of the long wavelength dielectric response of classical dipolar liquids using Bloch function methods
… in many simulations of great importance in computational science, both as methods to accurately simulate perfect crystals, as well as to approximate macroscopic systems. When considering the latter case, the use of these boundary conditions restricts the wavevectors for which the Fourier …
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