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Georgia Tech

1. Rattner, Alexander S. Single-pressure absorption refrigeration systems for low-source-temperature applications.

Degree: PhD, Mechanical Engineering, 2015, Georgia Tech

URL: http://hdl.handle.net/1853/53912

► The diffusion absorption refrigeration (DAR) cycle is a promising technology for fully thermally driven cooling. It is well suited to applications in medicine refrigeration and…
(more)

Subjects/Keywords: Absorption refrigeration; Passive refrigeration; Waste heat recovery; Two-phase flow; Phase-change; Computational fluid dynamics

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APA (6^{th} Edition):

Rattner, A. S. (2015). Single-pressure absorption refrigeration systems for low-source-temperature applications. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/53912

Chicago Manual of Style (16^{th} Edition):

Rattner, Alexander S. “Single-pressure absorption refrigeration systems for low-source-temperature applications.” 2015. Doctoral Dissertation, Georgia Tech. Accessed September 20, 2019. http://hdl.handle.net/1853/53912.

MLA Handbook (7^{th} Edition):

Rattner, Alexander S. “Single-pressure absorption refrigeration systems for low-source-temperature applications.” 2015. Web. 20 Sep 2019.

Vancouver:

Rattner AS. Single-pressure absorption refrigeration systems for low-source-temperature applications. [Internet] [Doctoral dissertation]. Georgia Tech; 2015. [cited 2019 Sep 20]. Available from: http://hdl.handle.net/1853/53912.

Council of Science Editors:

Rattner AS. Single-pressure absorption refrigeration systems for low-source-temperature applications. [Doctoral Dissertation]. Georgia Tech; 2015. Available from: http://hdl.handle.net/1853/53912

Georgia Tech

2. Schieber, Matthew Cole. Optimizing computational kernels in quantum chemistry.

Degree: MS, Computational Science and Engineering, 2018, Georgia Tech

URL: http://hdl.handle.net/1853/59949

► Density fitting is a rank reduction technique popularly used in quantum chemistry in order to reduce the computational cost of evaluating, transforming, and processing the…
(more)

Subjects/Keywords: Quantum chemistry; Parallel computing; High performance computing

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APA (6^{th} Edition):

Schieber, M. C. (2018). Optimizing computational kernels in quantum chemistry. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/59949

Chicago Manual of Style (16^{th} Edition):

Schieber, Matthew Cole. “Optimizing computational kernels in quantum chemistry.” 2018. Masters Thesis, Georgia Tech. Accessed September 20, 2019. http://hdl.handle.net/1853/59949.

MLA Handbook (7^{th} Edition):

Schieber, Matthew Cole. “Optimizing computational kernels in quantum chemistry.” 2018. Web. 20 Sep 2019.

Vancouver:

Schieber MC. Optimizing computational kernels in quantum chemistry. [Internet] [Masters thesis]. Georgia Tech; 2018. [cited 2019 Sep 20]. Available from: http://hdl.handle.net/1853/59949.

Council of Science Editors:

Schieber MC. Optimizing computational kernels in quantum chemistry. [Masters Thesis]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/59949

Georgia Tech

3. Hon, Ryan Paul. Development of methods and tools for on-the-fly response function generation for criticality calculations.

Degree: PhD, Mechanical Engineering, 2016, Georgia Tech

URL: http://hdl.handle.net/1853/58184

► Stochastic Particle Response Calculator, SPaRC, is a new stochastic neutron transport code that has been developed and optimized for the computation of response functions for…
(more)

Subjects/Keywords: Neutron transport

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APA (6^{th} Edition):

Hon, R. P. (2016). Development of methods and tools for on-the-fly response function generation for criticality calculations. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/58184

Chicago Manual of Style (16^{th} Edition):

Hon, Ryan Paul. “Development of methods and tools for on-the-fly response function generation for criticality calculations.” 2016. Doctoral Dissertation, Georgia Tech. Accessed September 20, 2019. http://hdl.handle.net/1853/58184.

MLA Handbook (7^{th} Edition):

Hon, Ryan Paul. “Development of methods and tools for on-the-fly response function generation for criticality calculations.” 2016. Web. 20 Sep 2019.

Vancouver:

Hon RP. Development of methods and tools for on-the-fly response function generation for criticality calculations. [Internet] [Doctoral dissertation]. Georgia Tech; 2016. [cited 2019 Sep 20]. Available from: http://hdl.handle.net/1853/58184.

Council of Science Editors:

Hon RP. Development of methods and tools for on-the-fly response function generation for criticality calculations. [Doctoral Dissertation]. Georgia Tech; 2016. Available from: http://hdl.handle.net/1853/58184

Georgia Tech

4. Buaria, Dhawal. Lagrangian investigations of turbulent dispersion and mixing using petascale computing.

Degree: PhD, Aerospace Engineering, 2016, Georgia Tech

URL: http://hdl.handle.net/1853/58572

► In many fields of science and engineering important to society, such as study of air/water quality, pollutant dispersion, cloud physics, design of improved combustion devices,…
(more)

Subjects/Keywords: Turbulent dispersion; Turbulent mixing; Direct numerical simulations; High performance computing

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APA (6^{th} Edition):

Buaria, D. (2016). Lagrangian investigations of turbulent dispersion and mixing using petascale computing. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/58572

Chicago Manual of Style (16^{th} Edition):

Buaria, Dhawal. “Lagrangian investigations of turbulent dispersion and mixing using petascale computing.” 2016. Doctoral Dissertation, Georgia Tech. Accessed September 20, 2019. http://hdl.handle.net/1853/58572.

MLA Handbook (7^{th} Edition):

Buaria, Dhawal. “Lagrangian investigations of turbulent dispersion and mixing using petascale computing.” 2016. Web. 20 Sep 2019.

Vancouver:

Buaria D. Lagrangian investigations of turbulent dispersion and mixing using petascale computing. [Internet] [Doctoral dissertation]. Georgia Tech; 2016. [cited 2019 Sep 20]. Available from: http://hdl.handle.net/1853/58572.

Council of Science Editors:

Buaria D. Lagrangian investigations of turbulent dispersion and mixing using petascale computing. [Doctoral Dissertation]. Georgia Tech; 2016. Available from: http://hdl.handle.net/1853/58572

Georgia Tech

5. Henneking, Stefan. Implementation and analysis of a parallel vertex-centered finite element segmental refinement multigrid solver.

Degree: MS, Computational Science and Engineering, 2016, Georgia Tech

URL: http://hdl.handle.net/1853/55050

► In a parallel vertex-centered finite element multigrid solver, segmental refinement can be used to avoid all inter-process communication on the fine grids. While domain decomposition…
(more)

Subjects/Keywords: Multigrid; Segmental refinement; Communication-avoiding

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APA (6^{th} Edition):

Henneking, S. (2016). Implementation and analysis of a parallel vertex-centered finite element segmental refinement multigrid solver. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/55050

Chicago Manual of Style (16^{th} Edition):

Henneking, Stefan. “Implementation and analysis of a parallel vertex-centered finite element segmental refinement multigrid solver.” 2016. Masters Thesis, Georgia Tech. Accessed September 20, 2019. http://hdl.handle.net/1853/55050.

MLA Handbook (7^{th} Edition):

Henneking, Stefan. “Implementation and analysis of a parallel vertex-centered finite element segmental refinement multigrid solver.” 2016. Web. 20 Sep 2019.

Vancouver:

Henneking S. Implementation and analysis of a parallel vertex-centered finite element segmental refinement multigrid solver. [Internet] [Masters thesis]. Georgia Tech; 2016. [cited 2019 Sep 20]. Available from: http://hdl.handle.net/1853/55050.

Council of Science Editors:

Henneking S. Implementation and analysis of a parallel vertex-centered finite element segmental refinement multigrid solver. [Masters Thesis]. Georgia Tech; 2016. Available from: http://hdl.handle.net/1853/55050

Georgia Tech

6. Liu, Jingfang. Adaptive iterative filtering methods for nonlinear signal analysis and applications.

Degree: PhD, Mathematics, 2013, Georgia Tech

URL: http://hdl.handle.net/1853/52169

► Time-frequency analysis for non-linear and non-stationary signals is extraordinarily challenging. To capture the changes in these types of signals, it is necessary for the analysis…
(more)

Subjects/Keywords: Time-frequency analysis; EMD; Iterative filtering; ALIF; Instantaneous frequency

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APA (6^{th} Edition):

Liu, J. (2013). Adaptive iterative filtering methods for nonlinear signal analysis and applications. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/52169

Chicago Manual of Style (16^{th} Edition):

Liu, Jingfang. “Adaptive iterative filtering methods for nonlinear signal analysis and applications.” 2013. Doctoral Dissertation, Georgia Tech. Accessed September 20, 2019. http://hdl.handle.net/1853/52169.

MLA Handbook (7^{th} Edition):

Liu, Jingfang. “Adaptive iterative filtering methods for nonlinear signal analysis and applications.” 2013. Web. 20 Sep 2019.

Vancouver:

Liu J. Adaptive iterative filtering methods for nonlinear signal analysis and applications. [Internet] [Doctoral dissertation]. Georgia Tech; 2013. [cited 2019 Sep 20]. Available from: http://hdl.handle.net/1853/52169.

Council of Science Editors:

Liu J. Adaptive iterative filtering methods for nonlinear signal analysis and applications. [Doctoral Dissertation]. Georgia Tech; 2013. Available from: http://hdl.handle.net/1853/52169

Georgia Tech

7. Jian, Yong-Dian. Support-theoretic subgraph preconditioners for large-scale SLAM and structure from motion.

Degree: PhD, Computer Science, 2014, Georgia Tech

URL: http://hdl.handle.net/1853/52272

► Simultaneous localization and mapping (SLAM) and Structure from Motion (SfM) are important problems in robotics and computer vision. One of the challenges is to solve…
(more)

Subjects/Keywords: SLAM; Structure from motion; Preconditioning; Subgraph preconditioner; Support theory

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APA (6^{th} Edition):

Jian, Y. (2014). Support-theoretic subgraph preconditioners for large-scale SLAM and structure from motion. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/52272

Chicago Manual of Style (16^{th} Edition):

Jian, Yong-Dian. “Support-theoretic subgraph preconditioners for large-scale SLAM and structure from motion.” 2014. Doctoral Dissertation, Georgia Tech. Accessed September 20, 2019. http://hdl.handle.net/1853/52272.

MLA Handbook (7^{th} Edition):

Jian, Yong-Dian. “Support-theoretic subgraph preconditioners for large-scale SLAM and structure from motion.” 2014. Web. 20 Sep 2019.

Vancouver:

Jian Y. Support-theoretic subgraph preconditioners for large-scale SLAM and structure from motion. [Internet] [Doctoral dissertation]. Georgia Tech; 2014. [cited 2019 Sep 20]. Available from: http://hdl.handle.net/1853/52272.

Council of Science Editors:

Jian Y. Support-theoretic subgraph preconditioners for large-scale SLAM and structure from motion. [Doctoral Dissertation]. Georgia Tech; 2014. Available from: http://hdl.handle.net/1853/52272

Georgia Tech

8. Parrish, Robert M. Rank reduction methods in electronic structure theory.

Degree: PhD, Chemistry and Biochemistry, 2015, Georgia Tech

URL: http://hdl.handle.net/1853/53850

► Quantum chemistry is plagued by the presence of high-rank quantities, stemming from the N-body nature of the electronic Schrödinger equation. These high-rank quantities present a…
(more)

Subjects/Keywords: Rank reduction; Electronic structure theory; Tensor decomposition; Intermolecular interactions

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APA (6^{th} Edition):

Parrish, R. M. (2015). Rank reduction methods in electronic structure theory. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/53850

Chicago Manual of Style (16^{th} Edition):

Parrish, Robert M. “Rank reduction methods in electronic structure theory.” 2015. Doctoral Dissertation, Georgia Tech. Accessed September 20, 2019. http://hdl.handle.net/1853/53850.

MLA Handbook (7^{th} Edition):

Parrish, Robert M. “Rank reduction methods in electronic structure theory.” 2015. Web. 20 Sep 2019.

Vancouver:

Parrish RM. Rank reduction methods in electronic structure theory. [Internet] [Doctoral dissertation]. Georgia Tech; 2015. [cited 2019 Sep 20]. Available from: http://hdl.handle.net/1853/53850.

Council of Science Editors:

Parrish RM. Rank reduction methods in electronic structure theory. [Doctoral Dissertation]. Georgia Tech; 2015. Available from: http://hdl.handle.net/1853/53850

Georgia Tech

9. Pratapa, Phanisri Pradeep. Towards electronic structure calculations at the Exascale.

Degree: PhD, Civil and Environmental Engineering, 2016, Georgia Tech

URL: http://hdl.handle.net/1853/55635

► Development of new materials needs better understanding of the behavior of materials at nanoscale which involves accurate simulation of atomic and electronic interactions. Electronic structure…
(more)

Subjects/Keywords: Density functional theory; Spectral quadrature; Clenshaw–Curtis; Linear-scaling; Metallic systems; Quantum molecular dynamics; Linear systems of equations; Iterative solver; Parallel computing

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APA (6^{th} Edition):

Pratapa, P. P. (2016). Towards electronic structure calculations at the Exascale. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/55635

Chicago Manual of Style (16^{th} Edition):

Pratapa, Phanisri Pradeep. “Towards electronic structure calculations at the Exascale.” 2016. Doctoral Dissertation, Georgia Tech. Accessed September 20, 2019. http://hdl.handle.net/1853/55635.

MLA Handbook (7^{th} Edition):

Pratapa, Phanisri Pradeep. “Towards electronic structure calculations at the Exascale.” 2016. Web. 20 Sep 2019.

Vancouver:

Pratapa PP. Towards electronic structure calculations at the Exascale. [Internet] [Doctoral dissertation]. Georgia Tech; 2016. [cited 2019 Sep 20]. Available from: http://hdl.handle.net/1853/55635.

Council of Science Editors:

Pratapa PP. Towards electronic structure calculations at the Exascale. [Doctoral Dissertation]. Georgia Tech; 2016. Available from: http://hdl.handle.net/1853/55635

Georgia Tech

10. Zhang, Peng. Hardness and tractability for structured numerical problems.

Degree: PhD, Computer Science, 2018, Georgia Tech

URL: http://hdl.handle.net/1853/60735

► We study structured linear systems and structured linear programs (LPs) from both algorithm and complexity perspectives. These structured problems commonly arise in combinatorial optimization, machine…
(more)

Subjects/Keywords: Linear systems; Linear programs; Hardness; Algorithms; Generalized Laplacian matrices; Packing and covering LPs

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APA (6^{th} Edition):

Zhang, P. (2018). Hardness and tractability for structured numerical problems. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/60735

Chicago Manual of Style (16^{th} Edition):

Zhang, Peng. “Hardness and tractability for structured numerical problems.” 2018. Doctoral Dissertation, Georgia Tech. Accessed September 20, 2019. http://hdl.handle.net/1853/60735.

MLA Handbook (7^{th} Edition):

Zhang, Peng. “Hardness and tractability for structured numerical problems.” 2018. Web. 20 Sep 2019.

Vancouver:

Zhang P. Hardness and tractability for structured numerical problems. [Internet] [Doctoral dissertation]. Georgia Tech; 2018. [cited 2019 Sep 20]. Available from: http://hdl.handle.net/1853/60735.

Council of Science Editors:

Zhang P. Hardness and tractability for structured numerical problems. [Doctoral Dissertation]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/60735

Georgia Tech

11. Fang, Xiaolei. Predictive analytics for complex engineering systems using high-dimensional signals.

Degree: PhD, Industrial and Systems Engineering, 2018, Georgia Tech

URL: http://hdl.handle.net/1853/59929

► Tremendous maintenance and operational expenditure are incurred due to unexpected failures, and inefficient maintenance and operational practices. Consequently, many capital-intensive assets used in the energy,…
(more)

Subjects/Keywords: Predictive analytics; Data analytics; Big data

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APA (6^{th} Edition):

Fang, X. (2018). Predictive analytics for complex engineering systems using high-dimensional signals. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/59929

Chicago Manual of Style (16^{th} Edition):

Fang, Xiaolei. “Predictive analytics for complex engineering systems using high-dimensional signals.” 2018. Doctoral Dissertation, Georgia Tech. Accessed September 20, 2019. http://hdl.handle.net/1853/59929.

MLA Handbook (7^{th} Edition):

Fang, Xiaolei. “Predictive analytics for complex engineering systems using high-dimensional signals.” 2018. Web. 20 Sep 2019.

Vancouver:

Fang X. Predictive analytics for complex engineering systems using high-dimensional signals. [Internet] [Doctoral dissertation]. Georgia Tech; 2018. [cited 2019 Sep 20]. Available from: http://hdl.handle.net/1853/59929.

Council of Science Editors:

Fang X. Predictive analytics for complex engineering systems using high-dimensional signals. [Doctoral Dissertation]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/59929

Georgia Tech

12. Du, Rundong. Nonnegative matrix factorization for text, graph, and hybrid data analytics.

Degree: PhD, Mathematics, 2018, Georgia Tech

URL: http://hdl.handle.net/1853/59914

► Constrained low rank approximation is a general framework for data analysis, which usually has the advantage of being simple, fast, scalable and domain general. One…
(more)

Subjects/Keywords: Constrained low rank approximation; Nonnegative matrix factorization; Data analytics; Content clustering; Graph clustering

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APA (6^{th} Edition):

Du, R. (2018). Nonnegative matrix factorization for text, graph, and hybrid data analytics. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/59914

Chicago Manual of Style (16^{th} Edition):

Du, Rundong. “Nonnegative matrix factorization for text, graph, and hybrid data analytics.” 2018. Doctoral Dissertation, Georgia Tech. Accessed September 20, 2019. http://hdl.handle.net/1853/59914.

MLA Handbook (7^{th} Edition):

Du, Rundong. “Nonnegative matrix factorization for text, graph, and hybrid data analytics.” 2018. Web. 20 Sep 2019.

Vancouver:

Du R. Nonnegative matrix factorization for text, graph, and hybrid data analytics. [Internet] [Doctoral dissertation]. Georgia Tech; 2018. [cited 2019 Sep 20]. Available from: http://hdl.handle.net/1853/59914.

Council of Science Editors:

Du R. Nonnegative matrix factorization for text, graph, and hybrid data analytics. [Doctoral Dissertation]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/59914

Georgia Tech

13. Clay, Matthew Paul. Strained turbulence and low-diffusivity turbulent mixing using high performance computing.

Degree: PhD, Aerospace Engineering, 2017, Georgia Tech

URL: http://hdl.handle.net/1853/60184

► In this thesis, turbulent flows are studied using the method of direct numerical simulation (DNS), whereby exact governing equations are computed without modeling. Beginning with…
(more)

Subjects/Keywords: Turbulence; DNS; High performance computing

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APA (6^{th} Edition):

Clay, M. P. (2017). Strained turbulence and low-diffusivity turbulent mixing using high performance computing. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/60184

Chicago Manual of Style (16^{th} Edition):

Clay, Matthew Paul. “Strained turbulence and low-diffusivity turbulent mixing using high performance computing.” 2017. Doctoral Dissertation, Georgia Tech. Accessed September 20, 2019. http://hdl.handle.net/1853/60184.

MLA Handbook (7^{th} Edition):

Clay, Matthew Paul. “Strained turbulence and low-diffusivity turbulent mixing using high performance computing.” 2017. Web. 20 Sep 2019.

Vancouver:

Clay MP. Strained turbulence and low-diffusivity turbulent mixing using high performance computing. [Internet] [Doctoral dissertation]. Georgia Tech; 2017. [cited 2019 Sep 20]. Available from: http://hdl.handle.net/1853/60184.

Council of Science Editors:

Clay MP. Strained turbulence and low-diffusivity turbulent mixing using high performance computing. [Doctoral Dissertation]. Georgia Tech; 2017. Available from: http://hdl.handle.net/1853/60184

Georgia Tech

14. Bakr, Brandon Wallace. Symmetry-adapted perturbation theory for organocatalysis.

Degree: PhD, Chemistry and Biochemistry, 2018, Georgia Tech

URL: http://hdl.handle.net/1853/60207

► Functional-group and atomic partitions of symmetry-adapted perturbation theory (SAPT) were used, for the first time, to analyze non-covalent interactions thought to influence the selectivity of…
(more)

Subjects/Keywords: Symmetry-adapted perturbation theory; Organocatalysis

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APA (6^{th} Edition):

Bakr, B. W. (2018). Symmetry-adapted perturbation theory for organocatalysis. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/60207

Chicago Manual of Style (16^{th} Edition):

Bakr, Brandon Wallace. “Symmetry-adapted perturbation theory for organocatalysis.” 2018. Doctoral Dissertation, Georgia Tech. Accessed September 20, 2019. http://hdl.handle.net/1853/60207.

MLA Handbook (7^{th} Edition):

Bakr, Brandon Wallace. “Symmetry-adapted perturbation theory for organocatalysis.” 2018. Web. 20 Sep 2019.

Vancouver:

Bakr BW. Symmetry-adapted perturbation theory for organocatalysis. [Internet] [Doctoral dissertation]. Georgia Tech; 2018. [cited 2019 Sep 20]. Available from: http://hdl.handle.net/1853/60207.

Council of Science Editors:

Bakr BW. Symmetry-adapted perturbation theory for organocatalysis. [Doctoral Dissertation]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/60207

Georgia Tech

15. Czechowski, Kenneth. Diagnosing Performance Bottlenecks in HPC Applications.

Degree: PhD, Computational Science and Engineering, 2019, Georgia Tech

URL: http://hdl.handle.net/1853/61261

► The software performance optimizations process is one of the most challenging aspects of developing highly performant code because underlying performance limitations are hard to diagnose.…
(more)

Subjects/Keywords: HPC

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APA (6^{th} Edition):

Czechowski, K. (2019). Diagnosing Performance Bottlenecks in HPC Applications. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/61261

Chicago Manual of Style (16^{th} Edition):

Czechowski, Kenneth. “Diagnosing Performance Bottlenecks in HPC Applications.” 2019. Doctoral Dissertation, Georgia Tech. Accessed September 20, 2019. http://hdl.handle.net/1853/61261.

MLA Handbook (7^{th} Edition):

Czechowski, Kenneth. “Diagnosing Performance Bottlenecks in HPC Applications.” 2019. Web. 20 Sep 2019.

Vancouver:

Czechowski K. Diagnosing Performance Bottlenecks in HPC Applications. [Internet] [Doctoral dissertation]. Georgia Tech; 2019. [cited 2019 Sep 20]. Available from: http://hdl.handle.net/1853/61261.

Council of Science Editors:

Czechowski K. Diagnosing Performance Bottlenecks in HPC Applications. [Doctoral Dissertation]. Georgia Tech; 2019. Available from: http://hdl.handle.net/1853/61261

Georgia Tech

16. Lohse, Alexander Mark. Structure-Property Relationships from Molecular Simulation of Polymeric Matrix Composites.

Degree: PhD, Materials Science and Engineering, 2018, Georgia Tech

URL: http://hdl.handle.net/1853/61664

► The use of composite materials has risen significantly over the past several decades as many industries begin to take advantage of the high specific strength,…
(more)

Subjects/Keywords: Molecular dynamics; Polymeric matrix composites; Covalent adaptable networks; ReaxFF; Carbon fiber

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APA (6^{th} Edition):

Lohse, A. M. (2018). Structure-Property Relationships from Molecular Simulation of Polymeric Matrix Composites. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/61664

Chicago Manual of Style (16^{th} Edition):

Lohse, Alexander Mark. “Structure-Property Relationships from Molecular Simulation of Polymeric Matrix Composites.” 2018. Doctoral Dissertation, Georgia Tech. Accessed September 20, 2019. http://hdl.handle.net/1853/61664.

MLA Handbook (7^{th} Edition):

Lohse, Alexander Mark. “Structure-Property Relationships from Molecular Simulation of Polymeric Matrix Composites.” 2018. Web. 20 Sep 2019.

Vancouver:

Lohse AM. Structure-Property Relationships from Molecular Simulation of Polymeric Matrix Composites. [Internet] [Doctoral dissertation]. Georgia Tech; 2018. [cited 2019 Sep 20]. Available from: http://hdl.handle.net/1853/61664.

Council of Science Editors:

Lohse AM. Structure-Property Relationships from Molecular Simulation of Polymeric Matrix Composites. [Doctoral Dissertation]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/61664

Georgia Tech

17. Zhou, Fan. Statistical inference for high dimensional data with low rank structure.

Degree: PhD, Mathematics, 2018, Georgia Tech

URL: http://hdl.handle.net/1853/60750

► We study two major topics on statistical inference for high dimensional data with low rank structure occurred in many machine learning and statistics applications. The…
(more)

Subjects/Keywords: Nonparametric statistics; Matrix completion; Low rank; Nuclear norm; Tensor; Singular vector perturbation

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APA (6^{th} Edition):

Zhou, F. (2018). Statistical inference for high dimensional data with low rank structure. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/60750

Chicago Manual of Style (16^{th} Edition):

Zhou, Fan. “Statistical inference for high dimensional data with low rank structure.” 2018. Doctoral Dissertation, Georgia Tech. Accessed September 20, 2019. http://hdl.handle.net/1853/60750.

MLA Handbook (7^{th} Edition):

Zhou, Fan. “Statistical inference for high dimensional data with low rank structure.” 2018. Web. 20 Sep 2019.

Vancouver:

Zhou F. Statistical inference for high dimensional data with low rank structure. [Internet] [Doctoral dissertation]. Georgia Tech; 2018. [cited 2019 Sep 20]. Available from: http://hdl.handle.net/1853/60750.

Council of Science Editors:

Zhou F. Statistical inference for high dimensional data with low rank structure. [Doctoral Dissertation]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/60750

Georgia Tech

18. Sao, Piyush kumar. Scalable and resilient sparse linear solvers.

Degree: PhD, Computational Science and Engineering, 2018, Georgia Tech

URL: http://hdl.handle.net/1853/60233

► Solving a large and sparse system of linear equations is a ubiquitous problem in scientific computing. The challenges in scaling such solvers on current and…
(more)

Subjects/Keywords: Sparse linear solver; Distributed computing; Communication avoiding algorithm; Numerical linear algebra; Fault-tolerance

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APA (6^{th} Edition):

Sao, P. k. (2018). Scalable and resilient sparse linear solvers. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/60233

Chicago Manual of Style (16^{th} Edition):

Sao, Piyush kumar. “Scalable and resilient sparse linear solvers.” 2018. Doctoral Dissertation, Georgia Tech. Accessed September 20, 2019. http://hdl.handle.net/1853/60233.

MLA Handbook (7^{th} Edition):

Sao, Piyush kumar. “Scalable and resilient sparse linear solvers.” 2018. Web. 20 Sep 2019.

Vancouver:

Sao Pk. Scalable and resilient sparse linear solvers. [Internet] [Doctoral dissertation]. Georgia Tech; 2018. [cited 2019 Sep 20]. Available from: http://hdl.handle.net/1853/60233.

Council of Science Editors:

Sao Pk. Scalable and resilient sparse linear solvers. [Doctoral Dissertation]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/60233

19. Vasyliv, Yaroslav V. Development of general finite differences for complex geometries using immersed boundary method.

Degree: MS, Mechanical Engineering, 2015, Georgia Tech

URL: http://hdl.handle.net/1853/54425

► In meshfree methods, partial differential equations are solved on an unstructured cloud of points distributed throughout the computational domain. In collocated meshfree methods, the differential…
(more)

Subjects/Keywords: Collocated meshfree methods; General finite differences; Sharp interface; Immersed boundary method; Poisson disk sampling; Moving least squares; Smoothed particle hydrodynamics

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Vasyliv, Y. V. (2015). Development of general finite differences for complex geometries using immersed boundary method. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/54425

Chicago Manual of Style (16^{th} Edition):

Vasyliv, Yaroslav V. “Development of general finite differences for complex geometries using immersed boundary method.” 2015. Masters Thesis, Georgia Tech. Accessed September 20, 2019. http://hdl.handle.net/1853/54425.

MLA Handbook (7^{th} Edition):

Vasyliv, Yaroslav V. “Development of general finite differences for complex geometries using immersed boundary method.” 2015. Web. 20 Sep 2019.

Vancouver:

Vasyliv YV. Development of general finite differences for complex geometries using immersed boundary method. [Internet] [Masters thesis]. Georgia Tech; 2015. [cited 2019 Sep 20]. Available from: http://hdl.handle.net/1853/54425.

Council of Science Editors:

Vasyliv YV. Development of general finite differences for complex geometries using immersed boundary method. [Masters Thesis]. Georgia Tech; 2015. Available from: http://hdl.handle.net/1853/54425

20. Ma, Benson Jer-Tsung. Brownian dynamics studies of DNA internal motions.

Degree: MS, Computational Science and Engineering, 2018, Georgia Tech

URL: http://hdl.handle.net/1853/60813

► Earlier studies by *Chow* and Skolnick suggest that the internal motions of bacterial DNA may be governed by strong forces arising from being crowded into…
(more)

Subjects/Keywords: Brownian dynamics simulation; DNA internal motions; Protein diffusion; Macromolecular crowding

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Ma, B. J. (2018). Brownian dynamics studies of DNA internal motions. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/60813

Chicago Manual of Style (16^{th} Edition):

Ma, Benson Jer-Tsung. “Brownian dynamics studies of DNA internal motions.” 2018. Masters Thesis, Georgia Tech. Accessed September 20, 2019. http://hdl.handle.net/1853/60813.

MLA Handbook (7^{th} Edition):

Ma, Benson Jer-Tsung. “Brownian dynamics studies of DNA internal motions.” 2018. Web. 20 Sep 2019.

Vancouver:

Ma BJ. Brownian dynamics studies of DNA internal motions. [Internet] [Masters thesis]. Georgia Tech; 2018. [cited 2019 Sep 20]. Available from: http://hdl.handle.net/1853/60813.

Council of Science Editors:

Ma BJ. Brownian dynamics studies of DNA internal motions. [Masters Thesis]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/60813

21. Wang, Xiaolin. A numerical study of vorticity-enhanced heat transfer.

Degree: PhD, Mathematics, 2014, Georgia Tech

URL: http://hdl.handle.net/1853/54017

► In this work, we have numerically studied the effect of the vorticity on the enhancement of heat transfer in a channel flow. In the first…
(more)

Subjects/Keywords: Vorticity; Heat transfer; Enhancement

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APA (6^{th} Edition):

Wang, X. (2014). A numerical study of vorticity-enhanced heat transfer. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/54017

Chicago Manual of Style (16^{th} Edition):

Wang, Xiaolin. “A numerical study of vorticity-enhanced heat transfer.” 2014. Doctoral Dissertation, Georgia Tech. Accessed September 20, 2019. http://hdl.handle.net/1853/54017.

MLA Handbook (7^{th} Edition):

Wang, Xiaolin. “A numerical study of vorticity-enhanced heat transfer.” 2014. Web. 20 Sep 2019.

Vancouver:

Wang X. A numerical study of vorticity-enhanced heat transfer. [Internet] [Doctoral dissertation]. Georgia Tech; 2014. [cited 2019 Sep 20]. Available from: http://hdl.handle.net/1853/54017.

Council of Science Editors:

Wang X. A numerical study of vorticity-enhanced heat transfer. [Doctoral Dissertation]. Georgia Tech; 2014. Available from: http://hdl.handle.net/1853/54017

22. Xiao, Bo. Parallel algorithms for generalized N-body problem in high dimensions and their applications for bayesian inference and image analysis.

Degree: PhD, Computational Science and Engineering, 2014, Georgia Tech

URL: http://hdl.handle.net/1853/53052

► In this dissertation, we explore parallel algorithms for general N-Body problems in high dimensions, and their applications in machine learning and image analysis on distributed…
(more)

Subjects/Keywords: Parallel algorithms; Bayesian inference; Generalized N-body problem

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Xiao, B. (2014). Parallel algorithms for generalized N-body problem in high dimensions and their applications for bayesian inference and image analysis. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/53052

Chicago Manual of Style (16^{th} Edition):

Xiao, Bo. “Parallel algorithms for generalized N-body problem in high dimensions and their applications for bayesian inference and image analysis.” 2014. Doctoral Dissertation, Georgia Tech. Accessed September 20, 2019. http://hdl.handle.net/1853/53052.

MLA Handbook (7^{th} Edition):

Xiao, Bo. “Parallel algorithms for generalized N-body problem in high dimensions and their applications for bayesian inference and image analysis.” 2014. Web. 20 Sep 2019.

Vancouver:

Xiao B. Parallel algorithms for generalized N-body problem in high dimensions and their applications for bayesian inference and image analysis. [Internet] [Doctoral dissertation]. Georgia Tech; 2014. [cited 2019 Sep 20]. Available from: http://hdl.handle.net/1853/53052.

Council of Science Editors:

Xiao B. Parallel algorithms for generalized N-body problem in high dimensions and their applications for bayesian inference and image analysis. [Doctoral Dissertation]. Georgia Tech; 2014. Available from: http://hdl.handle.net/1853/53052

23. Saeed, Usman. Adaptive numerical techniques for the solution of electromagnetic integral equations.

Degree: PhD, Electrical and Computer Engineering, 2011, Georgia Tech

URL: http://hdl.handle.net/1853/41173

► Various error estimation and adaptive refinement techniques for the solution of electromagnetic integral equations were developed. Residual based error estimators and h-refinement implementations were done…
(more)

Subjects/Keywords: Error estimation; Electromagnetic integral equations; Boundary element method; LCN; Method of moments; Adaptive refinement; Electromagnetic measurements; Electromagnetism Mathematical models; Moments method (Statistics); Numerical grid generation (Numerical analysis)

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Saeed, U. (2011). Adaptive numerical techniques for the solution of electromagnetic integral equations. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/41173

Chicago Manual of Style (16^{th} Edition):

Saeed, Usman. “Adaptive numerical techniques for the solution of electromagnetic integral equations.” 2011. Doctoral Dissertation, Georgia Tech. Accessed September 20, 2019. http://hdl.handle.net/1853/41173.

MLA Handbook (7^{th} Edition):

Saeed, Usman. “Adaptive numerical techniques for the solution of electromagnetic integral equations.” 2011. Web. 20 Sep 2019.

Vancouver:

Saeed U. Adaptive numerical techniques for the solution of electromagnetic integral equations. [Internet] [Doctoral dissertation]. Georgia Tech; 2011. [cited 2019 Sep 20]. Available from: http://hdl.handle.net/1853/41173.

Council of Science Editors:

Saeed U. Adaptive numerical techniques for the solution of electromagnetic integral equations. [Doctoral Dissertation]. Georgia Tech; 2011. Available from: http://hdl.handle.net/1853/41173

24. Lee, Dong Ryeol. A distributed kernel summation framework for machine learning and scientific applications.

Degree: PhD, Computing, 2012, Georgia Tech

URL: http://hdl.handle.net/1853/44727

► The class of computational problems I consider in this thesis share the common trait of requiring consideration of pairs (or higher-order tuples) of data points.…
(more)

Subjects/Keywords: Distributed and shared memory parallelism; Parallel multitree methods; Fast Gauss transforms; Fast multipole methods; Parallel machine learning; Parallel kernel methods; Multidimensional trees; Kernel functions; Machine learning; Algorithms

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Lee, D. R. (2012). A distributed kernel summation framework for machine learning and scientific applications. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/44727

Chicago Manual of Style (16^{th} Edition):

Lee, Dong Ryeol. “A distributed kernel summation framework for machine learning and scientific applications.” 2012. Doctoral Dissertation, Georgia Tech. Accessed September 20, 2019. http://hdl.handle.net/1853/44727.

MLA Handbook (7^{th} Edition):

Lee, Dong Ryeol. “A distributed kernel summation framework for machine learning and scientific applications.” 2012. Web. 20 Sep 2019.

Vancouver:

Lee DR. A distributed kernel summation framework for machine learning and scientific applications. [Internet] [Doctoral dissertation]. Georgia Tech; 2012. [cited 2019 Sep 20]. Available from: http://hdl.handle.net/1853/44727.

Council of Science Editors:

Lee DR. A distributed kernel summation framework for machine learning and scientific applications. [Doctoral Dissertation]. Georgia Tech; 2012. Available from: http://hdl.handle.net/1853/44727

25. Riegel, Ryan Nelson. Generalized N-body problems: a framework for scalable computation.

Degree: PhD, Computational Science and Engineering, 2013, Georgia Tech

URL: http://hdl.handle.net/1853/50269

► In the wake of the Big Data phenomenon, the computing world has seen a number of computational paradigms developed in response to the sudden need…
(more)

Subjects/Keywords: Fast algorithms; Generalized algorithms; Tree codes; Complexity analysis; Database-resident computation; Machine learning; Nearest neighbors; Kernel sums; Affinity propagation; Kernel discriminant analysis; Quasar identification; Big data; Parallel processing (Electronic computers); Many-body problem; Algorithms

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Riegel, R. N. (2013). Generalized N-body problems: a framework for scalable computation. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/50269

Chicago Manual of Style (16^{th} Edition):

Riegel, Ryan Nelson. “Generalized N-body problems: a framework for scalable computation.” 2013. Doctoral Dissertation, Georgia Tech. Accessed September 20, 2019. http://hdl.handle.net/1853/50269.

MLA Handbook (7^{th} Edition):

Riegel, Ryan Nelson. “Generalized N-body problems: a framework for scalable computation.” 2013. Web. 20 Sep 2019.

Vancouver:

Riegel RN. Generalized N-body problems: a framework for scalable computation. [Internet] [Doctoral dissertation]. Georgia Tech; 2013. [cited 2019 Sep 20]. Available from: http://hdl.handle.net/1853/50269.

Council of Science Editors:

Riegel RN. Generalized N-body problems: a framework for scalable computation. [Doctoral Dissertation]. Georgia Tech; 2013. Available from: http://hdl.handle.net/1853/50269

26. Liu, Xing. High-performance algorithms and software for large-scale molecular simulation.

Degree: PhD, Computational Science and Engineering, 2014, Georgia Tech

URL: http://hdl.handle.net/1853/53487

► Molecular simulation is an indispensable tool in many different disciplines such as physics, biology, chemical engineering, materials science, drug design, and others. Performing large-scale molecular…
(more)

Subjects/Keywords: High-performance computing; Parallel algorithm; Distributed computing; Heterogenous computing; Quantum chemistry; Stokesian dynamics; Brownian dynamics

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Liu, X. (2014). High-performance algorithms and software for large-scale molecular simulation. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/53487

Chicago Manual of Style (16^{th} Edition):

Liu, Xing. “High-performance algorithms and software for large-scale molecular simulation.” 2014. Doctoral Dissertation, Georgia Tech. Accessed September 20, 2019. http://hdl.handle.net/1853/53487.

MLA Handbook (7^{th} Edition):

Liu, Xing. “High-performance algorithms and software for large-scale molecular simulation.” 2014. Web. 20 Sep 2019.

Vancouver:

Liu X. High-performance algorithms and software for large-scale molecular simulation. [Internet] [Doctoral dissertation]. Georgia Tech; 2014. [cited 2019 Sep 20]. Available from: http://hdl.handle.net/1853/53487.

Council of Science Editors:

Liu X. High-performance algorithms and software for large-scale molecular simulation. [Doctoral Dissertation]. Georgia Tech; 2014. Available from: http://hdl.handle.net/1853/53487

27. Huang, Wei. Surfacelet-based heterogeneous materials modeling.

Degree: PhD, Mechanical Engineering, 2014, Georgia Tech

URL: http://hdl.handle.net/1853/52333

► The application of heterogeneous materials has become common in modern product design such as composites and porous media. Computational design tools for such materials, with…
(more)

Subjects/Keywords: Surfacelet; Heterogeneous materials; Materials design; Materials modeling; Computer-aided engineering

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Huang, W. (2014). Surfacelet-based heterogeneous materials modeling. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/52333

Chicago Manual of Style (16^{th} Edition):

Huang, Wei. “Surfacelet-based heterogeneous materials modeling.” 2014. Doctoral Dissertation, Georgia Tech. Accessed September 20, 2019. http://hdl.handle.net/1853/52333.

MLA Handbook (7^{th} Edition):

Huang, Wei. “Surfacelet-based heterogeneous materials modeling.” 2014. Web. 20 Sep 2019.

Vancouver:

Huang W. Surfacelet-based heterogeneous materials modeling. [Internet] [Doctoral dissertation]. Georgia Tech; 2014. [cited 2019 Sep 20]. Available from: http://hdl.handle.net/1853/52333.

Council of Science Editors:

Huang W. Surfacelet-based heterogeneous materials modeling. [Doctoral Dissertation]. Georgia Tech; 2014. Available from: http://hdl.handle.net/1853/52333

28. Mao, Wenbin. Modeling particle suspensions using lattice Boltzmann method.

Degree: PhD, Mechanical Engineering, 2013, Georgia Tech

URL: http://hdl.handle.net/1853/50349

► Particle suspensions are common both in nature and in various technological applications. The complex nature of hydrodynamic interactions between particles and the solvent makes such…
(more)

Subjects/Keywords: Particle suspensions; Lattice Boltzmann method; Suspensions (Chemistry); Lattice Boltzmann methods; Fluid dynamics; Mechanics; Particles

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Mao, W. (2013). Modeling particle suspensions using lattice Boltzmann method. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/50349

Chicago Manual of Style (16^{th} Edition):

Mao, Wenbin. “Modeling particle suspensions using lattice Boltzmann method.” 2013. Doctoral Dissertation, Georgia Tech. Accessed September 20, 2019. http://hdl.handle.net/1853/50349.

MLA Handbook (7^{th} Edition):

Mao, Wenbin. “Modeling particle suspensions using lattice Boltzmann method.” 2013. Web. 20 Sep 2019.

Vancouver:

Mao W. Modeling particle suspensions using lattice Boltzmann method. [Internet] [Doctoral dissertation]. Georgia Tech; 2013. [cited 2019 Sep 20]. Available from: http://hdl.handle.net/1853/50349.

Council of Science Editors:

Mao W. Modeling particle suspensions using lattice Boltzmann method. [Doctoral Dissertation]. Georgia Tech; 2013. Available from: http://hdl.handle.net/1853/50349