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You searched for subject:(high performance computing). Showing records 1 – 30 of 899 total matches.

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1. Bowman, Clark Michael Riordan. Data-Calibrated Modeling of Biological Soft Matter with Dissipative Particle Dynamics and High-Performance Bayesian Uncertainty Quantification.

Degree: Department of Applied Mathematics, 2018, Brown University

 Fluids play a key role in the mechanics of cells and the soft-matter structures composing them; from the movement of molecules such as amino acids… (more)

Subjects/Keywords: High performance computing

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APA (6th Edition):

Bowman, C. M. R. (2018). Data-Calibrated Modeling of Biological Soft Matter with Dissipative Particle Dynamics and High-Performance Bayesian Uncertainty Quantification. (Thesis). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:792771/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Bowman, Clark Michael Riordan. “Data-Calibrated Modeling of Biological Soft Matter with Dissipative Particle Dynamics and High-Performance Bayesian Uncertainty Quantification.” 2018. Thesis, Brown University. Accessed March 04, 2021. https://repository.library.brown.edu/studio/item/bdr:792771/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Bowman, Clark Michael Riordan. “Data-Calibrated Modeling of Biological Soft Matter with Dissipative Particle Dynamics and High-Performance Bayesian Uncertainty Quantification.” 2018. Web. 04 Mar 2021.

Vancouver:

Bowman CMR. Data-Calibrated Modeling of Biological Soft Matter with Dissipative Particle Dynamics and High-Performance Bayesian Uncertainty Quantification. [Internet] [Thesis]. Brown University; 2018. [cited 2021 Mar 04]. Available from: https://repository.library.brown.edu/studio/item/bdr:792771/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Bowman CMR. Data-Calibrated Modeling of Biological Soft Matter with Dissipative Particle Dynamics and High-Performance Bayesian Uncertainty Quantification. [Thesis]. Brown University; 2018. Available from: https://repository.library.brown.edu/studio/item/bdr:792771/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

2. Rietmann, Max. Local time stepping on high performance computing architectures: mitigating CFL bottlenecks for large-scale wave propagation.

Degree: 2015, Università della Svizzera italiana

 Modeling problems that require the simulation of hyperbolic PDEs (wave equations) on large heterogeneous domains have potentially many bottlenecks. We attack this problem through two… (more)

Subjects/Keywords: High performance computing

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APA (6th Edition):

Rietmann, M. (2015). Local time stepping on high performance computing architectures: mitigating CFL bottlenecks for large-scale wave propagation. (Thesis). Università della Svizzera italiana. Retrieved from http://doc.rero.ch/record/255915

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Rietmann, Max. “Local time stepping on high performance computing architectures: mitigating CFL bottlenecks for large-scale wave propagation.” 2015. Thesis, Università della Svizzera italiana. Accessed March 04, 2021. http://doc.rero.ch/record/255915.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Rietmann, Max. “Local time stepping on high performance computing architectures: mitigating CFL bottlenecks for large-scale wave propagation.” 2015. Web. 04 Mar 2021.

Vancouver:

Rietmann M. Local time stepping on high performance computing architectures: mitigating CFL bottlenecks for large-scale wave propagation. [Internet] [Thesis]. Università della Svizzera italiana; 2015. [cited 2021 Mar 04]. Available from: http://doc.rero.ch/record/255915.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Rietmann M. Local time stepping on high performance computing architectures: mitigating CFL bottlenecks for large-scale wave propagation. [Thesis]. Università della Svizzera italiana; 2015. Available from: http://doc.rero.ch/record/255915

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

3. Frasca, Michael Robert. Model-driven Memory Optimizations for High Performance Computing: From Caches to I/o.

Degree: 2012, Penn State University

High performance systems are quickly evolving to keep pace with application demands, and we observe greater complexity in system design at all scales. Parallelism, in… (more)

Subjects/Keywords: High Performance Computing; Performance Optimization

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APA (6th Edition):

Frasca, M. R. (2012). Model-driven Memory Optimizations for High Performance Computing: From Caches to I/o. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/15096

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Frasca, Michael Robert. “Model-driven Memory Optimizations for High Performance Computing: From Caches to I/o.” 2012. Thesis, Penn State University. Accessed March 04, 2021. https://submit-etda.libraries.psu.edu/catalog/15096.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Frasca, Michael Robert. “Model-driven Memory Optimizations for High Performance Computing: From Caches to I/o.” 2012. Web. 04 Mar 2021.

Vancouver:

Frasca MR. Model-driven Memory Optimizations for High Performance Computing: From Caches to I/o. [Internet] [Thesis]. Penn State University; 2012. [cited 2021 Mar 04]. Available from: https://submit-etda.libraries.psu.edu/catalog/15096.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Frasca MR. Model-driven Memory Optimizations for High Performance Computing: From Caches to I/o. [Thesis]. Penn State University; 2012. Available from: https://submit-etda.libraries.psu.edu/catalog/15096

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Rutgers University

4. Qin, Yubo. Exploring power-performance-quality tradeoffs for exascale combustion simulation.

Degree: MS, Electrical and Computer Engineering, 2016, Rutgers University

 The computational demand of high-performance computing (HPC) applications has brought major changes to the HPC system architecture. As a result, it is now possible to… (more)

Subjects/Keywords: Combustion; High performance computing

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APA (6th Edition):

Qin, Y. (2016). Exploring power-performance-quality tradeoffs for exascale combustion simulation. (Masters Thesis). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/50136/

Chicago Manual of Style (16th Edition):

Qin, Yubo. “Exploring power-performance-quality tradeoffs for exascale combustion simulation.” 2016. Masters Thesis, Rutgers University. Accessed March 04, 2021. https://rucore.libraries.rutgers.edu/rutgers-lib/50136/.

MLA Handbook (7th Edition):

Qin, Yubo. “Exploring power-performance-quality tradeoffs for exascale combustion simulation.” 2016. Web. 04 Mar 2021.

Vancouver:

Qin Y. Exploring power-performance-quality tradeoffs for exascale combustion simulation. [Internet] [Masters thesis]. Rutgers University; 2016. [cited 2021 Mar 04]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/50136/.

Council of Science Editors:

Qin Y. Exploring power-performance-quality tradeoffs for exascale combustion simulation. [Masters Thesis]. Rutgers University; 2016. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/50136/


Georgia Tech

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

Degree: PhD, Aerospace Engineering, 2017, Georgia Tech

 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 (6th 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 (16th Edition):

Clay, Matthew Paul. “Strained turbulence and low-diffusivity turbulent mixing using high performance computing.” 2017. Doctoral Dissertation, Georgia Tech. Accessed March 04, 2021. http://hdl.handle.net/1853/60184.

MLA Handbook (7th Edition):

Clay, Matthew Paul. “Strained turbulence and low-diffusivity turbulent mixing using high performance computing.” 2017. Web. 04 Mar 2021.

Vancouver:

Clay MP. Strained turbulence and low-diffusivity turbulent mixing using high performance computing. [Internet] [Doctoral dissertation]. Georgia Tech; 2017. [cited 2021 Mar 04]. 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

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

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

 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 (6th 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 (16th Edition):

Schieber, Matthew Cole. “Optimizing computational kernels in quantum chemistry.” 2018. Masters Thesis, Georgia Tech. Accessed March 04, 2021. http://hdl.handle.net/1853/59949.

MLA Handbook (7th Edition):

Schieber, Matthew Cole. “Optimizing computational kernels in quantum chemistry.” 2018. Web. 04 Mar 2021.

Vancouver:

Schieber MC. Optimizing computational kernels in quantum chemistry. [Internet] [Masters thesis]. Georgia Tech; 2018. [cited 2021 Mar 04]. 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


Penn State University

7. Park, Jeonghyung. Reuse distance models for accelerating scientific computing workloads on multicore processors.

Degree: 2015, Penn State University

 As the number of cores increase in chip multiprocessor microarchitecture (CMP) or multicores, we often observe performance degradation due to complex memory behavior on such… (more)

Subjects/Keywords: high performance computing; scientific computing; parallel computing; performance optimization

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APA (6th Edition):

Park, J. (2015). Reuse distance models for accelerating scientific computing workloads on multicore processors. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/26411

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Park, Jeonghyung. “Reuse distance models for accelerating scientific computing workloads on multicore processors.” 2015. Thesis, Penn State University. Accessed March 04, 2021. https://submit-etda.libraries.psu.edu/catalog/26411.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Park, Jeonghyung. “Reuse distance models for accelerating scientific computing workloads on multicore processors.” 2015. Web. 04 Mar 2021.

Vancouver:

Park J. Reuse distance models for accelerating scientific computing workloads on multicore processors. [Internet] [Thesis]. Penn State University; 2015. [cited 2021 Mar 04]. Available from: https://submit-etda.libraries.psu.edu/catalog/26411.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Park J. Reuse distance models for accelerating scientific computing workloads on multicore processors. [Thesis]. Penn State University; 2015. Available from: https://submit-etda.libraries.psu.edu/catalog/26411

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Texas State University – San Marcos

8. Saha, Biplab Kumar. Towards a Framework for Automating the Workflow for Building Machine Learning Based Performance Tuning.

Degree: MS, Computer Science, 2016, Texas State University – San Marcos

 Recent interest in machine learning-based methods have produced many sophisticated models for performance modeling and optimi:,ation. These models tend to be sensitive to architectural parameters… (more)

Subjects/Keywords: High performance computing; Machine learning; High performance computing; Machine learning

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APA (6th Edition):

Saha, B. K. (2016). Towards a Framework for Automating the Workflow for Building Machine Learning Based Performance Tuning. (Masters Thesis). Texas State University – San Marcos. Retrieved from https://digital.library.txstate.edu/handle/10877/6343

Chicago Manual of Style (16th Edition):

Saha, Biplab Kumar. “Towards a Framework for Automating the Workflow for Building Machine Learning Based Performance Tuning.” 2016. Masters Thesis, Texas State University – San Marcos. Accessed March 04, 2021. https://digital.library.txstate.edu/handle/10877/6343.

MLA Handbook (7th Edition):

Saha, Biplab Kumar. “Towards a Framework for Automating the Workflow for Building Machine Learning Based Performance Tuning.” 2016. Web. 04 Mar 2021.

Vancouver:

Saha BK. Towards a Framework for Automating the Workflow for Building Machine Learning Based Performance Tuning. [Internet] [Masters thesis]. Texas State University – San Marcos; 2016. [cited 2021 Mar 04]. Available from: https://digital.library.txstate.edu/handle/10877/6343.

Council of Science Editors:

Saha BK. Towards a Framework for Automating the Workflow for Building Machine Learning Based Performance Tuning. [Masters Thesis]. Texas State University – San Marcos; 2016. Available from: https://digital.library.txstate.edu/handle/10877/6343


University of Tasmania

9. Atkinson, AK. Tupleware: a distributed tuple space for the development and execution of array-based applications in a cluster computing environment.

Degree: 2010, University of Tasmania

 This thesis describes Tupleware, an implementation of a distributed tuple space which acts as a scalable and efficient cluster middleware for computationally intensive numerical and… (more)

Subjects/Keywords: Distributed computing; parallel computing; concurrency; high-performance computing; tuple space.

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APA (6th Edition):

Atkinson, A. (2010). Tupleware: a distributed tuple space for the development and execution of array-based applications in a cluster computing environment. (Thesis). University of Tasmania. Retrieved from https://eprints.utas.edu.au/9996/1/Alistair_Atkinson_PhD_Thesis.pdf

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Atkinson, AK. “Tupleware: a distributed tuple space for the development and execution of array-based applications in a cluster computing environment.” 2010. Thesis, University of Tasmania. Accessed March 04, 2021. https://eprints.utas.edu.au/9996/1/Alistair_Atkinson_PhD_Thesis.pdf.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Atkinson, AK. “Tupleware: a distributed tuple space for the development and execution of array-based applications in a cluster computing environment.” 2010. Web. 04 Mar 2021.

Vancouver:

Atkinson A. Tupleware: a distributed tuple space for the development and execution of array-based applications in a cluster computing environment. [Internet] [Thesis]. University of Tasmania; 2010. [cited 2021 Mar 04]. Available from: https://eprints.utas.edu.au/9996/1/Alistair_Atkinson_PhD_Thesis.pdf.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Atkinson A. Tupleware: a distributed tuple space for the development and execution of array-based applications in a cluster computing environment. [Thesis]. University of Tasmania; 2010. Available from: https://eprints.utas.edu.au/9996/1/Alistair_Atkinson_PhD_Thesis.pdf

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Cape Peninsula University of Technology

10. Killian, Rudi. Dynamic superscalar grid for technical debt reduction .

Degree: 2018, Cape Peninsula University of Technology

 Organizations and the private individual, look to technology advancements to increase their ability to make informed decisions. The motivation for technology adoption by entities sprouting… (more)

Subjects/Keywords: Computational grids (Computer systems); Cloud computing; High performance computing; Heterogeneous computing

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APA (6th Edition):

Killian, R. (2018). Dynamic superscalar grid for technical debt reduction . (Thesis). Cape Peninsula University of Technology. Retrieved from http://etd.cput.ac.za/handle/20.500.11838/2726

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Killian, Rudi. “Dynamic superscalar grid for technical debt reduction .” 2018. Thesis, Cape Peninsula University of Technology. Accessed March 04, 2021. http://etd.cput.ac.za/handle/20.500.11838/2726.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Killian, Rudi. “Dynamic superscalar grid for technical debt reduction .” 2018. Web. 04 Mar 2021.

Vancouver:

Killian R. Dynamic superscalar grid for technical debt reduction . [Internet] [Thesis]. Cape Peninsula University of Technology; 2018. [cited 2021 Mar 04]. Available from: http://etd.cput.ac.za/handle/20.500.11838/2726.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Killian R. Dynamic superscalar grid for technical debt reduction . [Thesis]. Cape Peninsula University of Technology; 2018. Available from: http://etd.cput.ac.za/handle/20.500.11838/2726

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

11. Shantharam, Manu. Algorithmic Approaches for Enhancing Speedup, Energy and Resiliency Measures of Sparse Scientific Computations.

Degree: 2012, Penn State University

High performance computing systems have increasingly complex node and network architectures including non-uniform memory subsystems, heterogeneous processors and hierarchical interconnects. The performance of scientific applications… (more)

Subjects/Keywords: Sparse scientific computing; high performance computing; performance analysis and modeling

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APA (6th Edition):

Shantharam, M. (2012). Algorithmic Approaches for Enhancing Speedup, Energy and Resiliency Measures of Sparse Scientific Computations. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/15740

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Shantharam, Manu. “Algorithmic Approaches for Enhancing Speedup, Energy and Resiliency Measures of Sparse Scientific Computations.” 2012. Thesis, Penn State University. Accessed March 04, 2021. https://submit-etda.libraries.psu.edu/catalog/15740.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Shantharam, Manu. “Algorithmic Approaches for Enhancing Speedup, Energy and Resiliency Measures of Sparse Scientific Computations.” 2012. Web. 04 Mar 2021.

Vancouver:

Shantharam M. Algorithmic Approaches for Enhancing Speedup, Energy and Resiliency Measures of Sparse Scientific Computations. [Internet] [Thesis]. Penn State University; 2012. [cited 2021 Mar 04]. Available from: https://submit-etda.libraries.psu.edu/catalog/15740.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Shantharam M. Algorithmic Approaches for Enhancing Speedup, Energy and Resiliency Measures of Sparse Scientific Computations. [Thesis]. Penn State University; 2012. Available from: https://submit-etda.libraries.psu.edu/catalog/15740

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Louisiana State University

12. Fang, Ye. Scheduling and Tuning Kernels for High-performance on Heterogeneous Processor Systems.

Degree: PhD, Electrical and Computer Engineering, 2016, Louisiana State University

 Accelerated parallel computing techniques using devices such as GPUs and Xeon Phis (along with CPUs) have proposed promising solutions of extending the cutting edge of… (more)

Subjects/Keywords: machine learning; task scheduling; heterogeneous computing; performance optimizations; high-performance computing

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APA (6th Edition):

Fang, Y. (2016). Scheduling and Tuning Kernels for High-performance on Heterogeneous Processor Systems. (Doctoral Dissertation). Louisiana State University. Retrieved from etd-01132017-192355 ; https://digitalcommons.lsu.edu/gradschool_dissertations/4233

Chicago Manual of Style (16th Edition):

Fang, Ye. “Scheduling and Tuning Kernels for High-performance on Heterogeneous Processor Systems.” 2016. Doctoral Dissertation, Louisiana State University. Accessed March 04, 2021. etd-01132017-192355 ; https://digitalcommons.lsu.edu/gradschool_dissertations/4233.

MLA Handbook (7th Edition):

Fang, Ye. “Scheduling and Tuning Kernels for High-performance on Heterogeneous Processor Systems.” 2016. Web. 04 Mar 2021.

Vancouver:

Fang Y. Scheduling and Tuning Kernels for High-performance on Heterogeneous Processor Systems. [Internet] [Doctoral dissertation]. Louisiana State University; 2016. [cited 2021 Mar 04]. Available from: etd-01132017-192355 ; https://digitalcommons.lsu.edu/gradschool_dissertations/4233.

Council of Science Editors:

Fang Y. Scheduling and Tuning Kernels for High-performance on Heterogeneous Processor Systems. [Doctoral Dissertation]. Louisiana State University; 2016. Available from: etd-01132017-192355 ; https://digitalcommons.lsu.edu/gradschool_dissertations/4233


Utah State University

13. Steven Monteiro, Steena Dominica. Statistical Techniques to Model and Optimize Performance of Scientific, Numerically Intensive Workloads.

Degree: PhD, Computer Science, 2016, Utah State University

  Projecting performance of applications and hardware is important to several market segments—hardware designers, software developers, supercomputing centers, and end users. Hardware designers estimate performance(more)

Subjects/Keywords: performance prediction; performance analysis; performance modeling; high performance computing; Computer Sciences

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APA (6th Edition):

Steven Monteiro, S. D. (2016). Statistical Techniques to Model and Optimize Performance of Scientific, Numerically Intensive Workloads. (Doctoral Dissertation). Utah State University. Retrieved from https://digitalcommons.usu.edu/etd/5228

Chicago Manual of Style (16th Edition):

Steven Monteiro, Steena Dominica. “Statistical Techniques to Model and Optimize Performance of Scientific, Numerically Intensive Workloads.” 2016. Doctoral Dissertation, Utah State University. Accessed March 04, 2021. https://digitalcommons.usu.edu/etd/5228.

MLA Handbook (7th Edition):

Steven Monteiro, Steena Dominica. “Statistical Techniques to Model and Optimize Performance of Scientific, Numerically Intensive Workloads.” 2016. Web. 04 Mar 2021.

Vancouver:

Steven Monteiro SD. Statistical Techniques to Model and Optimize Performance of Scientific, Numerically Intensive Workloads. [Internet] [Doctoral dissertation]. Utah State University; 2016. [cited 2021 Mar 04]. Available from: https://digitalcommons.usu.edu/etd/5228.

Council of Science Editors:

Steven Monteiro SD. Statistical Techniques to Model and Optimize Performance of Scientific, Numerically Intensive Workloads. [Doctoral Dissertation]. Utah State University; 2016. Available from: https://digitalcommons.usu.edu/etd/5228


Georgia Tech

14. Witte, Philipp Andre. Software and algorithms for large-scale seismic inverse problems.

Degree: PhD, Computational Science and Engineering, 2020, Georgia Tech

 Seismic imaging and parameter estimation are an import class of inverse problems with practical relevance in resource exploration, carbon control and monitoring systems for geohazards.… (more)

Subjects/Keywords: Seismic; Algorithm; Cloud; High-performance-computing; Geophysics

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APA (6th Edition):

Witte, P. A. (2020). Software and algorithms for large-scale seismic inverse problems. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/62754

Chicago Manual of Style (16th Edition):

Witte, Philipp Andre. “Software and algorithms for large-scale seismic inverse problems.” 2020. Doctoral Dissertation, Georgia Tech. Accessed March 04, 2021. http://hdl.handle.net/1853/62754.

MLA Handbook (7th Edition):

Witte, Philipp Andre. “Software and algorithms for large-scale seismic inverse problems.” 2020. Web. 04 Mar 2021.

Vancouver:

Witte PA. Software and algorithms for large-scale seismic inverse problems. [Internet] [Doctoral dissertation]. Georgia Tech; 2020. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/1853/62754.

Council of Science Editors:

Witte PA. Software and algorithms for large-scale seismic inverse problems. [Doctoral Dissertation]. Georgia Tech; 2020. Available from: http://hdl.handle.net/1853/62754


Rice University

15. Fabien, Maurice S. Hybridizable Discontinuous Galerkin Methods for Flow and Transport: Applications, Solvers, and High Performance Computing.

Degree: PhD, Engineering, 2019, Rice University

 This thesis proposal explores e cient computational methods for the approximation of solutions to partial di erential equations that model ow and transport phenomena in… (more)

Subjects/Keywords: High performance computing; finite elements; linear solvers

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APA (6th Edition):

Fabien, M. S. (2019). Hybridizable Discontinuous Galerkin Methods for Flow and Transport: Applications, Solvers, and High Performance Computing. (Doctoral Dissertation). Rice University. Retrieved from http://hdl.handle.net/1911/105967

Chicago Manual of Style (16th Edition):

Fabien, Maurice S. “Hybridizable Discontinuous Galerkin Methods for Flow and Transport: Applications, Solvers, and High Performance Computing.” 2019. Doctoral Dissertation, Rice University. Accessed March 04, 2021. http://hdl.handle.net/1911/105967.

MLA Handbook (7th Edition):

Fabien, Maurice S. “Hybridizable Discontinuous Galerkin Methods for Flow and Transport: Applications, Solvers, and High Performance Computing.” 2019. Web. 04 Mar 2021.

Vancouver:

Fabien MS. Hybridizable Discontinuous Galerkin Methods for Flow and Transport: Applications, Solvers, and High Performance Computing. [Internet] [Doctoral dissertation]. Rice University; 2019. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/1911/105967.

Council of Science Editors:

Fabien MS. Hybridizable Discontinuous Galerkin Methods for Flow and Transport: Applications, Solvers, and High Performance Computing. [Doctoral Dissertation]. Rice University; 2019. Available from: http://hdl.handle.net/1911/105967


University of Illinois – Urbana-Champaign

16. Jha, Saurabh. Analysis of Gemini interconnect recovery mechanisms: methods and observations.

Degree: MS, Computer Science, 2016, University of Illinois – Urbana-Champaign

 This thesis focuses on the resilience of network components, and recovery capabilities of extreme-scale high-performance computing (HPC) systems, specifically petaflop-level supercomputers, aimed at solving complex… (more)

Subjects/Keywords: High Performance Computing; Fault Tolerance; Interconnects

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

APA (6th Edition):

Jha, S. (2016). Analysis of Gemini interconnect recovery mechanisms: methods and observations. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/95450

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Jha, Saurabh. “Analysis of Gemini interconnect recovery mechanisms: methods and observations.” 2016. Thesis, University of Illinois – Urbana-Champaign. Accessed March 04, 2021. http://hdl.handle.net/2142/95450.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Jha, Saurabh. “Analysis of Gemini interconnect recovery mechanisms: methods and observations.” 2016. Web. 04 Mar 2021.

Vancouver:

Jha S. Analysis of Gemini interconnect recovery mechanisms: methods and observations. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2016. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/2142/95450.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Jha S. Analysis of Gemini interconnect recovery mechanisms: methods and observations. [Thesis]. University of Illinois – Urbana-Champaign; 2016. Available from: http://hdl.handle.net/2142/95450

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of New Mexico

17. Levy, Scott. Using Rollback Avoidance to Mitigate Failures in Next-Generation Extreme-Scale Systems.

Degree: Department of Computer Science, 2016, University of New Mexico

High-performance computing (HPC) systems enable scientists to numerically model complex phenomena in many important physical systems. The next major milestone in the development of HPC… (more)

Subjects/Keywords: High-performance computing; Fault tolerance; Simulation; Modeling

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APA (6th Edition):

Levy, S. (2016). Using Rollback Avoidance to Mitigate Failures in Next-Generation Extreme-Scale Systems. (Doctoral Dissertation). University of New Mexico. Retrieved from http://hdl.handle.net/1928/32314

Chicago Manual of Style (16th Edition):

Levy, Scott. “Using Rollback Avoidance to Mitigate Failures in Next-Generation Extreme-Scale Systems.” 2016. Doctoral Dissertation, University of New Mexico. Accessed March 04, 2021. http://hdl.handle.net/1928/32314.

MLA Handbook (7th Edition):

Levy, Scott. “Using Rollback Avoidance to Mitigate Failures in Next-Generation Extreme-Scale Systems.” 2016. Web. 04 Mar 2021.

Vancouver:

Levy S. Using Rollback Avoidance to Mitigate Failures in Next-Generation Extreme-Scale Systems. [Internet] [Doctoral dissertation]. University of New Mexico; 2016. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/1928/32314.

Council of Science Editors:

Levy S. Using Rollback Avoidance to Mitigate Failures in Next-Generation Extreme-Scale Systems. [Doctoral Dissertation]. University of New Mexico; 2016. Available from: http://hdl.handle.net/1928/32314


Queens University

18. Grant, Ryan Eric. Improving High Performance Networking Technologies for Data Center Clusters .

Degree: Electrical and Computer Engineering, 2012, Queens University

 This dissertation demonstrates new methods for increasing the performance and scalability of high performance networking technologies for use in clustered computing systems, concentrating on Ethernet/High-Speed… (more)

Subjects/Keywords: Data centers ; Cluster Computing ; High Performance Networks

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

APA (6th Edition):

Grant, R. E. (2012). Improving High Performance Networking Technologies for Data Center Clusters . (Thesis). Queens University. Retrieved from http://hdl.handle.net/1974/7502

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Grant, Ryan Eric. “Improving High Performance Networking Technologies for Data Center Clusters .” 2012. Thesis, Queens University. Accessed March 04, 2021. http://hdl.handle.net/1974/7502.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Grant, Ryan Eric. “Improving High Performance Networking Technologies for Data Center Clusters .” 2012. Web. 04 Mar 2021.

Vancouver:

Grant RE. Improving High Performance Networking Technologies for Data Center Clusters . [Internet] [Thesis]. Queens University; 2012. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/1974/7502.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Grant RE. Improving High Performance Networking Technologies for Data Center Clusters . [Thesis]. Queens University; 2012. Available from: http://hdl.handle.net/1974/7502

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

19. -6059-0490. Distributed tensor computations: formalizing distributions, redistributions, and algorithm derivation.

Degree: PhD, Computer science, 2015, University of Texas – Austin

 A goal of computer science is to develop practical methods to automate tasks that are otherwise too complex or tedious to perform manually. Complex tasks… (more)

Subjects/Keywords: High-performance computing; Parallel programming; Tensor computations

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APA (6th Edition):

-6059-0490. (2015). Distributed tensor computations: formalizing distributions, redistributions, and algorithm derivation. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/33276

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Chicago Manual of Style (16th Edition):

-6059-0490. “Distributed tensor computations: formalizing distributions, redistributions, and algorithm derivation.” 2015. Doctoral Dissertation, University of Texas – Austin. Accessed March 04, 2021. http://hdl.handle.net/2152/33276.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7th Edition):

-6059-0490. “Distributed tensor computations: formalizing distributions, redistributions, and algorithm derivation.” 2015. Web. 04 Mar 2021.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-6059-0490. Distributed tensor computations: formalizing distributions, redistributions, and algorithm derivation. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2015. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/2152/33276.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

-6059-0490. Distributed tensor computations: formalizing distributions, redistributions, and algorithm derivation. [Doctoral Dissertation]. University of Texas – Austin; 2015. Available from: http://hdl.handle.net/2152/33276

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

20. Malas, Tareq Majed Yasin. Tiling and Asynchronous Communication Optimizations for Stencil Computations.

Degree: Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division, 2015, King Abdullah University of Science and Technology

 The importance of stencil-based algorithms in computational science has focused attention on optimized parallel implementations for multilevel cache-based processors. Temporal blocking schemes leverage the large… (more)

Subjects/Keywords: High Performance Computing; stencil computations; tiling

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

APA (6th Edition):

Malas, T. M. Y. (2015). Tiling and Asynchronous Communication Optimizations for Stencil Computations. (Thesis). King Abdullah University of Science and Technology. Retrieved from http://hdl.handle.net/10754/583807

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Malas, Tareq Majed Yasin. “Tiling and Asynchronous Communication Optimizations for Stencil Computations.” 2015. Thesis, King Abdullah University of Science and Technology. Accessed March 04, 2021. http://hdl.handle.net/10754/583807.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Malas, Tareq Majed Yasin. “Tiling and Asynchronous Communication Optimizations for Stencil Computations.” 2015. Web. 04 Mar 2021.

Vancouver:

Malas TMY. Tiling and Asynchronous Communication Optimizations for Stencil Computations. [Internet] [Thesis]. King Abdullah University of Science and Technology; 2015. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/10754/583807.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Malas TMY. Tiling and Asynchronous Communication Optimizations for Stencil Computations. [Thesis]. King Abdullah University of Science and Technology; 2015. Available from: http://hdl.handle.net/10754/583807

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

21. Labarbera, Nicholas Andrew. Anisotropic Conductivity and Uncertainty Quantification in Irreversible Electroporation Simulations.

Degree: 2018, Penn State University

 In the past few years, interest has drastically increased in using surgically inserted electrodes to ablate cancer cells. The treatment is referred to as irreversible… (more)

Subjects/Keywords: Simulation; High Performance Computing; Electroporation; Mathematical Modelling

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APA (6th Edition):

Labarbera, N. A. (2018). Anisotropic Conductivity and Uncertainty Quantification in Irreversible Electroporation Simulations. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/15917nal5047

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Labarbera, Nicholas Andrew. “Anisotropic Conductivity and Uncertainty Quantification in Irreversible Electroporation Simulations.” 2018. Thesis, Penn State University. Accessed March 04, 2021. https://submit-etda.libraries.psu.edu/catalog/15917nal5047.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Labarbera, Nicholas Andrew. “Anisotropic Conductivity and Uncertainty Quantification in Irreversible Electroporation Simulations.” 2018. Web. 04 Mar 2021.

Vancouver:

Labarbera NA. Anisotropic Conductivity and Uncertainty Quantification in Irreversible Electroporation Simulations. [Internet] [Thesis]. Penn State University; 2018. [cited 2021 Mar 04]. Available from: https://submit-etda.libraries.psu.edu/catalog/15917nal5047.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Labarbera NA. Anisotropic Conductivity and Uncertainty Quantification in Irreversible Electroporation Simulations. [Thesis]. Penn State University; 2018. Available from: https://submit-etda.libraries.psu.edu/catalog/15917nal5047

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

22. Chapuis, Guillaume. Exploiting parallel features of modern computer architectures in bioinformatics : applications to genetics, structure comparison and large graph analysis : Exploiter les capacités de calcul parallèle des architectures modernes en bioinformatique.

Degree: Docteur es, Informatique, 2013, Cachan, Ecole normale supérieure

La croissance exponentielle de la génération de données pour la bioinformatique couplée à une stagnation des fréquences d’horloge des processeurs modernes accentuent la nécessité de… (more)

Subjects/Keywords: Bioinformatique; Calcul parallèle; Bioinformatics; High performance computing

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APA (6th Edition):

Chapuis, G. (2013). Exploiting parallel features of modern computer architectures in bioinformatics : applications to genetics, structure comparison and large graph analysis : Exploiter les capacités de calcul parallèle des architectures modernes en bioinformatique. (Doctoral Dissertation). Cachan, Ecole normale supérieure. Retrieved from http://www.theses.fr/2013DENS0068

Chicago Manual of Style (16th Edition):

Chapuis, Guillaume. “Exploiting parallel features of modern computer architectures in bioinformatics : applications to genetics, structure comparison and large graph analysis : Exploiter les capacités de calcul parallèle des architectures modernes en bioinformatique.” 2013. Doctoral Dissertation, Cachan, Ecole normale supérieure. Accessed March 04, 2021. http://www.theses.fr/2013DENS0068.

MLA Handbook (7th Edition):

Chapuis, Guillaume. “Exploiting parallel features of modern computer architectures in bioinformatics : applications to genetics, structure comparison and large graph analysis : Exploiter les capacités de calcul parallèle des architectures modernes en bioinformatique.” 2013. Web. 04 Mar 2021.

Vancouver:

Chapuis G. Exploiting parallel features of modern computer architectures in bioinformatics : applications to genetics, structure comparison and large graph analysis : Exploiter les capacités de calcul parallèle des architectures modernes en bioinformatique. [Internet] [Doctoral dissertation]. Cachan, Ecole normale supérieure; 2013. [cited 2021 Mar 04]. Available from: http://www.theses.fr/2013DENS0068.

Council of Science Editors:

Chapuis G. Exploiting parallel features of modern computer architectures in bioinformatics : applications to genetics, structure comparison and large graph analysis : Exploiter les capacités de calcul parallèle des architectures modernes en bioinformatique. [Doctoral Dissertation]. Cachan, Ecole normale supérieure; 2013. Available from: http://www.theses.fr/2013DENS0068


Oregon State University

23. Bae, Myung Mun. Resource placement, data rearrangement, and Hamiltonian cycles in torus networks.

Degree: PhD, Computer Science, 1996, Oregon State University

 Many parallel machines, both commercial and experimental, have been/are being designed with toroidal interconnection networks. For a given number of nodes, the torus has a… (more)

Subjects/Keywords: High performance computing

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APA (6th Edition):

Bae, M. M. (1996). Resource placement, data rearrangement, and Hamiltonian cycles in torus networks. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/34129

Chicago Manual of Style (16th Edition):

Bae, Myung Mun. “Resource placement, data rearrangement, and Hamiltonian cycles in torus networks.” 1996. Doctoral Dissertation, Oregon State University. Accessed March 04, 2021. http://hdl.handle.net/1957/34129.

MLA Handbook (7th Edition):

Bae, Myung Mun. “Resource placement, data rearrangement, and Hamiltonian cycles in torus networks.” 1996. Web. 04 Mar 2021.

Vancouver:

Bae MM. Resource placement, data rearrangement, and Hamiltonian cycles in torus networks. [Internet] [Doctoral dissertation]. Oregon State University; 1996. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/1957/34129.

Council of Science Editors:

Bae MM. Resource placement, data rearrangement, and Hamiltonian cycles in torus networks. [Doctoral Dissertation]. Oregon State University; 1996. Available from: http://hdl.handle.net/1957/34129


Oregon State University

24. Moore, Jason Andrew. High-performance data-parallel input/output.

Degree: PhD, Computer Science, 1996, Oregon State University

 Existing parallel file systems are proving inadequate in two important arenas: programmability and performance. Both of these inadequacies can largely be traced to the fact… (more)

Subjects/Keywords: High performance computing

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APA (6th Edition):

Moore, J. A. (1996). High-performance data-parallel input/output. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/34460

Chicago Manual of Style (16th Edition):

Moore, Jason Andrew. “High-performance data-parallel input/output.” 1996. Doctoral Dissertation, Oregon State University. Accessed March 04, 2021. http://hdl.handle.net/1957/34460.

MLA Handbook (7th Edition):

Moore, Jason Andrew. “High-performance data-parallel input/output.” 1996. Web. 04 Mar 2021.

Vancouver:

Moore JA. High-performance data-parallel input/output. [Internet] [Doctoral dissertation]. Oregon State University; 1996. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/1957/34460.

Council of Science Editors:

Moore JA. High-performance data-parallel input/output. [Doctoral Dissertation]. Oregon State University; 1996. Available from: http://hdl.handle.net/1957/34460


University of California – Santa Cruz

25. Ionkov, Latchesar. Optimizing Access to Scientific Data for Storage, Analysis and Visualization.

Degree: Computer Science, 2018, University of California – Santa Cruz

 Scientific workflows contain an increasing number of interactingapplications, often with big disparity between the formats of databeing produced and consumed by different applications. This mismatchcan… (more)

Subjects/Keywords: Computer science; high performance computing; storage

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APA (6th Edition):

Ionkov, L. (2018). Optimizing Access to Scientific Data for Storage, Analysis and Visualization. (Thesis). University of California – Santa Cruz. Retrieved from http://www.escholarship.org/uc/item/4vs7g3pk

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Ionkov, Latchesar. “Optimizing Access to Scientific Data for Storage, Analysis and Visualization.” 2018. Thesis, University of California – Santa Cruz. Accessed March 04, 2021. http://www.escholarship.org/uc/item/4vs7g3pk.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Ionkov, Latchesar. “Optimizing Access to Scientific Data for Storage, Analysis and Visualization.” 2018. Web. 04 Mar 2021.

Vancouver:

Ionkov L. Optimizing Access to Scientific Data for Storage, Analysis and Visualization. [Internet] [Thesis]. University of California – Santa Cruz; 2018. [cited 2021 Mar 04]. Available from: http://www.escholarship.org/uc/item/4vs7g3pk.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ionkov L. Optimizing Access to Scientific Data for Storage, Analysis and Visualization. [Thesis]. University of California – Santa Cruz; 2018. Available from: http://www.escholarship.org/uc/item/4vs7g3pk

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Indiana University

26. Gilmanov, Timur. Lower bound resource requirements for machine intelligence .

Degree: 2018, Indiana University

 Recent advancements in technology and the field of artificial intelligence provide a platform for new applications in a wide range of areas, including healthcare, engineering,… (more)

Subjects/Keywords: machine intelligence; artificial intelligence; high performance computing

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APA (6th Edition):

Gilmanov, T. (2018). Lower bound resource requirements for machine intelligence . (Thesis). Indiana University. Retrieved from http://hdl.handle.net/2022/22595

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Gilmanov, Timur. “Lower bound resource requirements for machine intelligence .” 2018. Thesis, Indiana University. Accessed March 04, 2021. http://hdl.handle.net/2022/22595.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Gilmanov, Timur. “Lower bound resource requirements for machine intelligence .” 2018. Web. 04 Mar 2021.

Vancouver:

Gilmanov T. Lower bound resource requirements for machine intelligence . [Internet] [Thesis]. Indiana University; 2018. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/2022/22595.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Gilmanov T. Lower bound resource requirements for machine intelligence . [Thesis]. Indiana University; 2018. Available from: http://hdl.handle.net/2022/22595

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Virginia Tech

27. Gabriel, Matthew Frederick. An Expanded Speedup Model for the Early Phases of High Performance Computing Cluster (HPCC) Design.

Degree: MS, Computer Engineering, 2013, Virginia Tech

 The size and complexity of many scientific and enterprise-level applications require a high degree of parallelization in order to produce outputs within an acceptable period… (more)

Subjects/Keywords: High Performance Computing; Speedup; Amdahl; Gustafson

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APA (6th Edition):

Gabriel, M. F. (2013). An Expanded Speedup Model for the Early Phases of High Performance Computing Cluster (HPCC) Design. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/22053

Chicago Manual of Style (16th Edition):

Gabriel, Matthew Frederick. “An Expanded Speedup Model for the Early Phases of High Performance Computing Cluster (HPCC) Design.” 2013. Masters Thesis, Virginia Tech. Accessed March 04, 2021. http://hdl.handle.net/10919/22053.

MLA Handbook (7th Edition):

Gabriel, Matthew Frederick. “An Expanded Speedup Model for the Early Phases of High Performance Computing Cluster (HPCC) Design.” 2013. Web. 04 Mar 2021.

Vancouver:

Gabriel MF. An Expanded Speedup Model for the Early Phases of High Performance Computing Cluster (HPCC) Design. [Internet] [Masters thesis]. Virginia Tech; 2013. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/10919/22053.

Council of Science Editors:

Gabriel MF. An Expanded Speedup Model for the Early Phases of High Performance Computing Cluster (HPCC) Design. [Masters Thesis]. Virginia Tech; 2013. Available from: http://hdl.handle.net/10919/22053


University of Oregon

28. Binyahib, Roba. Evaluating Parallel Particle Advection Algorithms Over Various Workloads.

Degree: PhD, Department of Computer and Information Science, 2020, University of Oregon

 We consider the problem of efficient particle advection in a distributed- memory parallel setting, focusing on four popular parallelization algorithms. The performance of each of… (more)

Subjects/Keywords: Flow Visualization; High Performance Computing; Scientific Visualization

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APA (6th Edition):

Binyahib, R. (2020). Evaluating Parallel Particle Advection Algorithms Over Various Workloads. (Doctoral Dissertation). University of Oregon. Retrieved from https://scholarsbank.uoregon.edu/xmlui/handle/1794/25595

Chicago Manual of Style (16th Edition):

Binyahib, Roba. “Evaluating Parallel Particle Advection Algorithms Over Various Workloads.” 2020. Doctoral Dissertation, University of Oregon. Accessed March 04, 2021. https://scholarsbank.uoregon.edu/xmlui/handle/1794/25595.

MLA Handbook (7th Edition):

Binyahib, Roba. “Evaluating Parallel Particle Advection Algorithms Over Various Workloads.” 2020. Web. 04 Mar 2021.

Vancouver:

Binyahib R. Evaluating Parallel Particle Advection Algorithms Over Various Workloads. [Internet] [Doctoral dissertation]. University of Oregon; 2020. [cited 2021 Mar 04]. Available from: https://scholarsbank.uoregon.edu/xmlui/handle/1794/25595.

Council of Science Editors:

Binyahib R. Evaluating Parallel Particle Advection Algorithms Over Various Workloads. [Doctoral Dissertation]. University of Oregon; 2020. Available from: https://scholarsbank.uoregon.edu/xmlui/handle/1794/25595


Rutgers University

29. Gamell Balmana, Marc, 1989-. Application-aware on-line failure recovery for extreme-scale HPC environments.

Degree: PhD, Electrical and Computer Engineering, 2017, Rutgers University

High Performance Computing (HPC) brings with it the promise of deeper insight into complex phenomena through the execution of various extreme-scale applications, especially those in… (more)

Subjects/Keywords: Fault tolerance (Engineering); High performance computing

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APA (6th Edition):

Gamell Balmana, Marc, 1. (2017). Application-aware on-line failure recovery for extreme-scale HPC environments. (Doctoral Dissertation). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/53618/

Chicago Manual of Style (16th Edition):

Gamell Balmana, Marc, 1989-. “Application-aware on-line failure recovery for extreme-scale HPC environments.” 2017. Doctoral Dissertation, Rutgers University. Accessed March 04, 2021. https://rucore.libraries.rutgers.edu/rutgers-lib/53618/.

MLA Handbook (7th Edition):

Gamell Balmana, Marc, 1989-. “Application-aware on-line failure recovery for extreme-scale HPC environments.” 2017. Web. 04 Mar 2021.

Vancouver:

Gamell Balmana, Marc 1. Application-aware on-line failure recovery for extreme-scale HPC environments. [Internet] [Doctoral dissertation]. Rutgers University; 2017. [cited 2021 Mar 04]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/53618/.

Council of Science Editors:

Gamell Balmana, Marc 1. Application-aware on-line failure recovery for extreme-scale HPC environments. [Doctoral Dissertation]. Rutgers University; 2017. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/53618/


University of St. Andrews

30. Yu, Teng. Heterogeneity-aware scheduling and data partitioning for system performance acceleration .

Degree: 2020, University of St. Andrews

 Over the past decade, heterogeneous processors and accelerators have become increasingly prevalent in modern computing systems. Compared with previous homogeneous parallel machines, the hardware heterogeneity… (more)

Subjects/Keywords: Heterogeneous systems; High performance computing; System software

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APA (6th Edition):

Yu, T. (2020). Heterogeneity-aware scheduling and data partitioning for system performance acceleration . (Thesis). University of St. Andrews. Retrieved from http://hdl.handle.net/10023/19797

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Yu, Teng. “Heterogeneity-aware scheduling and data partitioning for system performance acceleration .” 2020. Thesis, University of St. Andrews. Accessed March 04, 2021. http://hdl.handle.net/10023/19797.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Yu, Teng. “Heterogeneity-aware scheduling and data partitioning for system performance acceleration .” 2020. Web. 04 Mar 2021.

Vancouver:

Yu T. Heterogeneity-aware scheduling and data partitioning for system performance acceleration . [Internet] [Thesis]. University of St. Andrews; 2020. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/10023/19797.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Yu T. Heterogeneity-aware scheduling and data partitioning for system performance acceleration . [Thesis]. University of St. Andrews; 2020. Available from: http://hdl.handle.net/10023/19797

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

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