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You searched for subject:(High performance computing). Showing records 1 – 30 of 719 total matches.

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1. 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 May 22, 2019. 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. 22 May 2019.

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 2019 May 22]. 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


Rutgers University

2. Dufour, Bruno, 1981-. Practical analysis of framework-intensive applications:.

Degree: PhD, Computer Science, 2010, Rutgers University

Many modern applications (e.g. web applications) are composed of a relatively small amount of application code that calls a large number of third-party libraries and… (more)

Subjects/Keywords: High performance computing

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APA (6th Edition):

Dufour, Bruno, 1. (2010). Practical analysis of framework-intensive applications:. (Doctoral Dissertation). Rutgers University. Retrieved from http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.000052105

Chicago Manual of Style (16th Edition):

Dufour, Bruno, 1981-. “Practical analysis of framework-intensive applications:.” 2010. Doctoral Dissertation, Rutgers University. Accessed May 22, 2019. http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.000052105.

MLA Handbook (7th Edition):

Dufour, Bruno, 1981-. “Practical analysis of framework-intensive applications:.” 2010. Web. 22 May 2019.

Vancouver:

Dufour, Bruno 1. Practical analysis of framework-intensive applications:. [Internet] [Doctoral dissertation]. Rutgers University; 2010. [cited 2019 May 22]. Available from: http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.000052105.

Council of Science Editors:

Dufour, Bruno 1. Practical analysis of framework-intensive applications:. [Doctoral Dissertation]. Rutgers University; 2010. Available from: http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.000052105

3. 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 May 22, 2019. 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. 22 May 2019.

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 2019 May 22]. 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


Virginia Tech

4. Linford, John Christian. Accelerating Atmospheric Modeling Through Emerging Multi-core Technologies.

Degree: PhD, Computer Science, 2010, Virginia Tech

 The new generations of multi-core chipset architectures achieve unprecedented levels of computational power while respecting physical and economical constraints. The cost of this power is… (more)

Subjects/Keywords: hardware; high performance computing; software

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APA (6th Edition):

Linford, J. C. (2010). Accelerating Atmospheric Modeling Through Emerging Multi-core Technologies. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/27599

Chicago Manual of Style (16th Edition):

Linford, John Christian. “Accelerating Atmospheric Modeling Through Emerging Multi-core Technologies.” 2010. Doctoral Dissertation, Virginia Tech. Accessed May 22, 2019. http://hdl.handle.net/10919/27599.

MLA Handbook (7th Edition):

Linford, John Christian. “Accelerating Atmospheric Modeling Through Emerging Multi-core Technologies.” 2010. Web. 22 May 2019.

Vancouver:

Linford JC. Accelerating Atmospheric Modeling Through Emerging Multi-core Technologies. [Internet] [Doctoral dissertation]. Virginia Tech; 2010. [cited 2019 May 22]. Available from: http://hdl.handle.net/10919/27599.

Council of Science Editors:

Linford JC. Accelerating Atmospheric Modeling Through Emerging Multi-core Technologies. [Doctoral Dissertation]. Virginia Tech; 2010. Available from: http://hdl.handle.net/10919/27599


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 May 22, 2019. 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. 22 May 2019.

Vancouver:

Clay MP. Strained turbulence and low-diffusivity turbulent mixing using high performance computing. [Internet] [Doctoral dissertation]. Georgia Tech; 2017. [cited 2019 May 22]. 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


University of New Mexico

6. Leon Borja, Edgar. Improving the performance of parallel scientific applications using cache injection.

Degree: Department of Computer Science, 2009, University of New Mexico

 Cache injection is a viable technique to improve the performance of data-intensive parallel applications. This dissertation characterizes cache injection of incoming network data in terms… (more)

Subjects/Keywords: cache injection; high-performance computing

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APA (6th Edition):

Leon Borja, E. (2009). Improving the performance of parallel scientific applications using cache injection. (Doctoral Dissertation). University of New Mexico. Retrieved from http://hdl.handle.net/1928/9348

Chicago Manual of Style (16th Edition):

Leon Borja, Edgar. “Improving the performance of parallel scientific applications using cache injection.” 2009. Doctoral Dissertation, University of New Mexico. Accessed May 22, 2019. http://hdl.handle.net/1928/9348.

MLA Handbook (7th Edition):

Leon Borja, Edgar. “Improving the performance of parallel scientific applications using cache injection.” 2009. Web. 22 May 2019.

Vancouver:

Leon Borja E. Improving the performance of parallel scientific applications using cache injection. [Internet] [Doctoral dissertation]. University of New Mexico; 2009. [cited 2019 May 22]. Available from: http://hdl.handle.net/1928/9348.

Council of Science Editors:

Leon Borja E. Improving the performance of parallel scientific applications using cache injection. [Doctoral Dissertation]. University of New Mexico; 2009. Available from: http://hdl.handle.net/1928/9348


Georgia Tech

7. 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 May 22, 2019. http://hdl.handle.net/1853/59949.

MLA Handbook (7th Edition):

Schieber, Matthew Cole. “Optimizing computational kernels in quantum chemistry.” 2018. Web. 22 May 2019.

Vancouver:

Schieber MC. Optimizing computational kernels in quantum chemistry. [Internet] [Masters thesis]. Georgia Tech; 2018. [cited 2019 May 22]. 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


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 May 22, 2019. 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. 22 May 2019.

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 2019 May 22]. 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 May 22, 2019. 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. 22 May 2019.

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 2019 May 22]. 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


Vanderbilt University

10. Varshneya, Pooja. Distributed and Adaptive Parallel Computing for Computational Finance Applications.

Degree: MS, Computer Science, 2010, Vanderbilt University

 Analysts, scientist, engineers, and multimedia professionals require massive processing power to analyze financial trends, create test simulations, model climate, compile code, render video, decode genomes… (more)

Subjects/Keywords: distributed adaptive computing; MPI; parallel computing; high performance computing

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APA (6th Edition):

Varshneya, P. (2010). Distributed and Adaptive Parallel Computing for Computational Finance Applications. (Masters Thesis). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu/available/etd-06082010-053600/ ;

Chicago Manual of Style (16th Edition):

Varshneya, Pooja. “Distributed and Adaptive Parallel Computing for Computational Finance Applications.” 2010. Masters Thesis, Vanderbilt University. Accessed May 22, 2019. http://etd.library.vanderbilt.edu/available/etd-06082010-053600/ ;.

MLA Handbook (7th Edition):

Varshneya, Pooja. “Distributed and Adaptive Parallel Computing for Computational Finance Applications.” 2010. Web. 22 May 2019.

Vancouver:

Varshneya P. Distributed and Adaptive Parallel Computing for Computational Finance Applications. [Internet] [Masters thesis]. Vanderbilt University; 2010. [cited 2019 May 22]. Available from: http://etd.library.vanderbilt.edu/available/etd-06082010-053600/ ;.

Council of Science Editors:

Varshneya P. Distributed and Adaptive Parallel Computing for Computational Finance Applications. [Masters Thesis]. Vanderbilt University; 2010. Available from: http://etd.library.vanderbilt.edu/available/etd-06082010-053600/ ;


Cape Peninsula University of Technology

11. 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 May 22, 2019. 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. 22 May 2019.

Vancouver:

Killian R. Dynamic superscalar grid for technical debt reduction . [Internet] [Thesis]. Cape Peninsula University of Technology; 2018. [cited 2019 May 22]. 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


Utah State University

12. 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 May 22, 2019. 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. 22 May 2019.

Vancouver:

Steven Monteiro SD. Statistical Techniques to Model and Optimize Performance of Scientific, Numerically Intensive Workloads. [Internet] [Doctoral dissertation]. Utah State University; 2016. [cited 2019 May 22]. 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


Penn State University

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

Degree: PhD, Computer Science and Engineering, 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. (Doctoral Dissertation). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/15740

Chicago Manual of Style (16th Edition):

Shantharam, Manu. “Algorithmic Approaches for Enhancing Speedup, Energy and Resiliency Measures of Sparse Scientific Computations.” 2012. Doctoral Dissertation, Penn State University. Accessed May 22, 2019. https://etda.libraries.psu.edu/catalog/15740.

MLA Handbook (7th Edition):

Shantharam, Manu. “Algorithmic Approaches for Enhancing Speedup, Energy and Resiliency Measures of Sparse Scientific Computations.” 2012. Web. 22 May 2019.

Vancouver:

Shantharam M. Algorithmic Approaches for Enhancing Speedup, Energy and Resiliency Measures of Sparse Scientific Computations. [Internet] [Doctoral dissertation]. Penn State University; 2012. [cited 2019 May 22]. Available from: https://etda.libraries.psu.edu/catalog/15740.

Council of Science Editors:

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


Queens University

14. 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 (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 May 22, 2019. 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. 22 May 2019.

Vancouver:

Grant RE. Improving High Performance Networking Technologies for Data Center Clusters . [Internet] [Thesis]. Queens University; 2012. [cited 2019 May 22]. 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


University of Hong Kong

15. 蔡育明; Choi, Yuk-ming. A run-time hardware task execution framework for FPGA-accelerated heterogeneous cluster.

Degree: M. Phil., 2013, University of Hong Kong

The era of big data has led to problems of unprecedented scale and complexity that are challenging the computing capability of conventional computer systems. One… (more)

Subjects/Keywords: Field programmable gate arrays; High performance computing

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APA (6th Edition):

蔡育明; Choi, Y. (2013). A run-time hardware task execution framework for FPGA-accelerated heterogeneous cluster. (Masters Thesis). University of Hong Kong. Retrieved from Choi, Y. [蔡育明]. (2013). A run-time hardware task execution framework for FPGA-accelerated heterogeneous cluster. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b5270558 ; http://dx.doi.org/10.5353/th_b5270558 ; http://hdl.handle.net/10722/206679

Chicago Manual of Style (16th Edition):

蔡育明; Choi, Yuk-ming. “A run-time hardware task execution framework for FPGA-accelerated heterogeneous cluster.” 2013. Masters Thesis, University of Hong Kong. Accessed May 22, 2019. Choi, Y. [蔡育明]. (2013). A run-time hardware task execution framework for FPGA-accelerated heterogeneous cluster. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b5270558 ; http://dx.doi.org/10.5353/th_b5270558 ; http://hdl.handle.net/10722/206679.

MLA Handbook (7th Edition):

蔡育明; Choi, Yuk-ming. “A run-time hardware task execution framework for FPGA-accelerated heterogeneous cluster.” 2013. Web. 22 May 2019.

Vancouver:

蔡育明; Choi Y. A run-time hardware task execution framework for FPGA-accelerated heterogeneous cluster. [Internet] [Masters thesis]. University of Hong Kong; 2013. [cited 2019 May 22]. Available from: Choi, Y. [蔡育明]. (2013). A run-time hardware task execution framework for FPGA-accelerated heterogeneous cluster. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b5270558 ; http://dx.doi.org/10.5353/th_b5270558 ; http://hdl.handle.net/10722/206679.

Council of Science Editors:

蔡育明; Choi Y. A run-time hardware task execution framework for FPGA-accelerated heterogeneous cluster. [Masters Thesis]. University of Hong Kong; 2013. Available from: Choi, Y. [蔡育明]. (2013). A run-time hardware task execution framework for FPGA-accelerated heterogeneous cluster. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b5270558 ; http://dx.doi.org/10.5353/th_b5270558 ; http://hdl.handle.net/10722/206679


Indiana University

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

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 May 22, 2019. 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. 22 May 2019.

Vancouver:

Gilmanov T. Lower bound resource requirements for machine intelligence . [Internet] [Thesis]. Indiana University; 2018. [cited 2019 May 22]. 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


Oregon State University

17. 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 May 22, 2019. 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. 22 May 2019.

Vancouver:

Bae MM. Resource placement, data rearrangement, and Hamiltonian cycles in torus networks. [Internet] [Doctoral dissertation]. Oregon State University; 1996. [cited 2019 May 22]. 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

18. 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 May 22, 2019. http://hdl.handle.net/1957/34460.

MLA Handbook (7th Edition):

Moore, Jason Andrew. “High-performance data-parallel input/output.” 1996. Web. 22 May 2019.

Vancouver:

Moore JA. High-performance data-parallel input/output. [Internet] [Doctoral dissertation]. Oregon State University; 1996. [cited 2019 May 22]. 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

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

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 May 22, 2019. 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. 22 May 2019.

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 2019 May 22]. 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


Virginia Tech

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

Degree: MS, Electrical and 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 · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

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 May 22, 2019. 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. 22 May 2019.

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 2019 May 22]. 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 Illinois – Urbana-Champaign

21. 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 (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 May 22, 2019. 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. 22 May 2019.

Vancouver:

Jha S. Analysis of Gemini interconnect recovery mechanisms: methods and observations. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2016. [cited 2019 May 22]. 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 California – Santa Cruz

22. 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 May 22, 2019. 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. 22 May 2019.

Vancouver:

Ionkov L. Optimizing Access to Scientific Data for Storage, Analysis and Visualization. [Internet] [Thesis]. University of California – Santa Cruz; 2018. [cited 2019 May 22]. 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

23. -6059-0490. Distributed tensor computations: formalizing distributions, redistributions, and algorithm derivation.

Degree: Computer Sciences, 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. (Thesis). 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
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

-6059-0490. “Distributed tensor computations: formalizing distributions, redistributions, and algorithm derivation.” 2015. Thesis, University of Texas – Austin. Accessed May 22, 2019. http://hdl.handle.net/2152/33276.

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

MLA Handbook (7th Edition):

-6059-0490. “Distributed tensor computations: formalizing distributions, redistributions, and algorithm derivation.” 2015. Web. 22 May 2019.

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] [Thesis]. University of Texas – Austin; 2015. [cited 2019 May 22]. 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
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

-6059-0490. Distributed tensor computations: formalizing distributions, redistributions, and algorithm derivation. [Thesis]. 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
Not specified: Masters Thesis or Doctoral Dissertation


University of New Mexico

24. 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 May 22, 2019. 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. 22 May 2019.

Vancouver:

Levy S. Using Rollback Avoidance to Mitigate Failures in Next-Generation Extreme-Scale Systems. [Internet] [Doctoral dissertation]. University of New Mexico; 2016. [cited 2019 May 22]. 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


Australian National University

25. Atif, Muhammad. Adaptive Resource Relocation in Virtualized Heterogeneous Clusters .

Degree: 2011, Australian National University

 Cluster computing has recently gone through an evolution from single processor systems to multicore/multi-socket systems. This has resulted in lowering the cost/performance ratio of the… (more)

Subjects/Keywords: Virtualization; Scheduling; Heterogeneous Clusters; High Performance Computing

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APA (6th Edition):

Atif, M. (2011). Adaptive Resource Relocation in Virtualized Heterogeneous Clusters . (Thesis). Australian National University. Retrieved from http://hdl.handle.net/1885/8234

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):

Atif, Muhammad. “Adaptive Resource Relocation in Virtualized Heterogeneous Clusters .” 2011. Thesis, Australian National University. Accessed May 22, 2019. http://hdl.handle.net/1885/8234.

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

MLA Handbook (7th Edition):

Atif, Muhammad. “Adaptive Resource Relocation in Virtualized Heterogeneous Clusters .” 2011. Web. 22 May 2019.

Vancouver:

Atif M. Adaptive Resource Relocation in Virtualized Heterogeneous Clusters . [Internet] [Thesis]. Australian National University; 2011. [cited 2019 May 22]. Available from: http://hdl.handle.net/1885/8234.

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

Council of Science Editors:

Atif M. Adaptive Resource Relocation in Virtualized Heterogeneous Clusters . [Thesis]. Australian National University; 2011. Available from: http://hdl.handle.net/1885/8234

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


University of North Texas

26. Zhang, Ziming. Adaptive Power Management for Autonomic Resource Configuration in Large-scale Computer Systems.

Degree: 2015, University of North Texas

 In order to run and manage resource-intensive high-performance applications, large-scale computing and storage platforms have been evolving rapidly in various domains in both academia and… (more)

Subjects/Keywords: cloud computing; high performance computing; power management; Computer systems  – Power supply.; Cloud computing.; Electronic data processing  – Distributed processing.; High performance computing.

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APA (6th Edition):

Zhang, Z. (2015). Adaptive Power Management for Autonomic Resource Configuration in Large-scale Computer Systems. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc804939/

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):

Zhang, Ziming. “Adaptive Power Management for Autonomic Resource Configuration in Large-scale Computer Systems.” 2015. Thesis, University of North Texas. Accessed May 22, 2019. https://digital.library.unt.edu/ark:/67531/metadc804939/.

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

MLA Handbook (7th Edition):

Zhang, Ziming. “Adaptive Power Management for Autonomic Resource Configuration in Large-scale Computer Systems.” 2015. Web. 22 May 2019.

Vancouver:

Zhang Z. Adaptive Power Management for Autonomic Resource Configuration in Large-scale Computer Systems. [Internet] [Thesis]. University of North Texas; 2015. [cited 2019 May 22]. Available from: https://digital.library.unt.edu/ark:/67531/metadc804939/.

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

Council of Science Editors:

Zhang Z. Adaptive Power Management for Autonomic Resource Configuration in Large-scale Computer Systems. [Thesis]. University of North Texas; 2015. Available from: https://digital.library.unt.edu/ark:/67531/metadc804939/

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


University of Illinois – Urbana-Champaign

27. Lee, Chee Wai. Techniques in scalable and effective parallel performance analysis.

Degree: PhD, 0112, 2010, University of Illinois – Urbana-Champaign

Performance analysis tools are essential to the maintenance of efficient parallel execution of scientific applications. As scientific applications are executed on larger and larger parallel… (more)

Subjects/Keywords: Parallel Performance Tools; Scalability; Performance Analysis; High Performance Computing (HPC)

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APA (6th Edition):

Lee, C. W. (2010). Techniques in scalable and effective parallel performance analysis. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/14568

Chicago Manual of Style (16th Edition):

Lee, Chee Wai. “Techniques in scalable and effective parallel performance analysis.” 2010. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed May 22, 2019. http://hdl.handle.net/2142/14568.

MLA Handbook (7th Edition):

Lee, Chee Wai. “Techniques in scalable and effective parallel performance analysis.” 2010. Web. 22 May 2019.

Vancouver:

Lee CW. Techniques in scalable and effective parallel performance analysis. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2010. [cited 2019 May 22]. Available from: http://hdl.handle.net/2142/14568.

Council of Science Editors:

Lee CW. Techniques in scalable and effective parallel performance analysis. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2010. Available from: http://hdl.handle.net/2142/14568


Georgia State University

28. Karamati, Sara. Towards an MPI-like Framework for Azure Cloud Platform.

Degree: MS, Computer Science, 2014, Georgia State University

  Message passing interface (MPI) has been widely used for implementing parallel and distributed applications. The emergence of cloud computing offers a scalable, fault-tolerant, on-demand… (more)

Subjects/Keywords: High-performance computing; Windows Azure; MPI; Cloud computing

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APA (6th Edition):

Karamati, S. (2014). Towards an MPI-like Framework for Azure Cloud Platform. (Thesis). Georgia State University. Retrieved from https://scholarworks.gsu.edu/cs_theses/77

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):

Karamati, Sara. “Towards an MPI-like Framework for Azure Cloud Platform.” 2014. Thesis, Georgia State University. Accessed May 22, 2019. https://scholarworks.gsu.edu/cs_theses/77.

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

MLA Handbook (7th Edition):

Karamati, Sara. “Towards an MPI-like Framework for Azure Cloud Platform.” 2014. Web. 22 May 2019.

Vancouver:

Karamati S. Towards an MPI-like Framework for Azure Cloud Platform. [Internet] [Thesis]. Georgia State University; 2014. [cited 2019 May 22]. Available from: https://scholarworks.gsu.edu/cs_theses/77.

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

Council of Science Editors:

Karamati S. Towards an MPI-like Framework for Azure Cloud Platform. [Thesis]. Georgia State University; 2014. Available from: https://scholarworks.gsu.edu/cs_theses/77

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

29. Ribeiro, Tiago Filipe Rodrigues. Developing and evaluating clopencl applications for heterogeneous clusters.

Degree: 2012, Instituto Politécnico de Bragança

 In the last few years, the computing systems processing capabilities have increased significantly, changing from single-core to multi-core and even many-core systems. Accompanying this evolution,… (more)

Subjects/Keywords: Hybrid Programming; Heterogeneous Computing; High-Performance Computing; MPI; OpenCL; clOpenCL

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APA (6th Edition):

Ribeiro, T. F. R. (2012). Developing and evaluating clopencl applications for heterogeneous clusters. (Thesis). Instituto Politécnico de Bragança. Retrieved from https://www.rcaap.pt/detail.jsp?id=oai:bibliotecadigital.ipb.pt:10198/7948

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):

Ribeiro, Tiago Filipe Rodrigues. “Developing and evaluating clopencl applications for heterogeneous clusters.” 2012. Thesis, Instituto Politécnico de Bragança. Accessed May 22, 2019. https://www.rcaap.pt/detail.jsp?id=oai:bibliotecadigital.ipb.pt:10198/7948.

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

MLA Handbook (7th Edition):

Ribeiro, Tiago Filipe Rodrigues. “Developing and evaluating clopencl applications for heterogeneous clusters.” 2012. Web. 22 May 2019.

Vancouver:

Ribeiro TFR. Developing and evaluating clopencl applications for heterogeneous clusters. [Internet] [Thesis]. Instituto Politécnico de Bragança; 2012. [cited 2019 May 22]. Available from: https://www.rcaap.pt/detail.jsp?id=oai:bibliotecadigital.ipb.pt:10198/7948.

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

Council of Science Editors:

Ribeiro TFR. Developing and evaluating clopencl applications for heterogeneous clusters. [Thesis]. Instituto Politécnico de Bragança; 2012. Available from: https://www.rcaap.pt/detail.jsp?id=oai:bibliotecadigital.ipb.pt:10198/7948

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

30. Pradeep, Prachi. Heuristics for Scaling up Distributed Protein Docking.

Degree: 2011, Marquette University

 Docking is a computational technique which predicts the interaction between a protein and a potential drug compound. Virtual screening is a tool, which employs docking,… (more)

Subjects/Keywords: Condor; Distributed Computing; Docking; High Performance Computing; Bioinformatics

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APA (6th Edition):

Pradeep, P. (2011). Heuristics for Scaling up Distributed Protein Docking. (Thesis). Marquette University. Retrieved from https://epublications.marquette.edu/theses_open/107

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):

Pradeep, Prachi. “Heuristics for Scaling up Distributed Protein Docking.” 2011. Thesis, Marquette University. Accessed May 22, 2019. https://epublications.marquette.edu/theses_open/107.

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

MLA Handbook (7th Edition):

Pradeep, Prachi. “Heuristics for Scaling up Distributed Protein Docking.” 2011. Web. 22 May 2019.

Vancouver:

Pradeep P. Heuristics for Scaling up Distributed Protein Docking. [Internet] [Thesis]. Marquette University; 2011. [cited 2019 May 22]. Available from: https://epublications.marquette.edu/theses_open/107.

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

Council of Science Editors:

Pradeep P. Heuristics for Scaling up Distributed Protein Docking. [Thesis]. Marquette University; 2011. Available from: https://epublications.marquette.edu/theses_open/107

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

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