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You searched for subject:(scientific computing). Showing records 1 – 30 of 361 total matches.

[1] [2] [3] [4] [5] … [13]

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University of Utah

1. Bhatia, Harsh. Consistent feature extraction from vector fields: combinatorial representations and analysis under local reference frames.

Degree: PhD, Computing (School of), 2015, University of Utah

 With modern computational resources rapidly advancing towards exascale, large-scale simulations useful for understanding natural and man-made phenomena are becoming in- creasingly accessible. As a result,… (more)

Subjects/Keywords: Data analysis; Scientific computing; Scientific visualization

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

APA (6th Edition):

Bhatia, H. (2015). Consistent feature extraction from vector fields: combinatorial representations and analysis under local reference frames. (Doctoral Dissertation). University of Utah. Retrieved from http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/3764/rec/543

Chicago Manual of Style (16th Edition):

Bhatia, Harsh. “Consistent feature extraction from vector fields: combinatorial representations and analysis under local reference frames.” 2015. Doctoral Dissertation, University of Utah. Accessed July 11, 2020. http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/3764/rec/543.

MLA Handbook (7th Edition):

Bhatia, Harsh. “Consistent feature extraction from vector fields: combinatorial representations and analysis under local reference frames.” 2015. Web. 11 Jul 2020.

Vancouver:

Bhatia H. Consistent feature extraction from vector fields: combinatorial representations and analysis under local reference frames. [Internet] [Doctoral dissertation]. University of Utah; 2015. [cited 2020 Jul 11]. Available from: http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/3764/rec/543.

Council of Science Editors:

Bhatia H. Consistent feature extraction from vector fields: combinatorial representations and analysis under local reference frames. [Doctoral Dissertation]. University of Utah; 2015. Available from: http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/3764/rec/543


Universiteit Utrecht

2. Eelaart, X. van den. Matching and Scheduling Algorithms on Large Scale Dynamic Graphs.

Degree: 2014, Universiteit Utrecht

 The research for this thesis was conducted at Progressive Planning, an online multi-project management tool. For Progressive Planning, the precedence graph determines a partial ordering… (more)

Subjects/Keywords: matching; scheduling; graphs; scientific; computing

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APA (6th Edition):

Eelaart, X. v. d. (2014). Matching and Scheduling Algorithms on Large Scale Dynamic Graphs. (Masters Thesis). Universiteit Utrecht. Retrieved from http://dspace.library.uu.nl:8080/handle/1874/297709

Chicago Manual of Style (16th Edition):

Eelaart, X van den. “Matching and Scheduling Algorithms on Large Scale Dynamic Graphs.” 2014. Masters Thesis, Universiteit Utrecht. Accessed July 11, 2020. http://dspace.library.uu.nl:8080/handle/1874/297709.

MLA Handbook (7th Edition):

Eelaart, X van den. “Matching and Scheduling Algorithms on Large Scale Dynamic Graphs.” 2014. Web. 11 Jul 2020.

Vancouver:

Eelaart Xvd. Matching and Scheduling Algorithms on Large Scale Dynamic Graphs. [Internet] [Masters thesis]. Universiteit Utrecht; 2014. [cited 2020 Jul 11]. Available from: http://dspace.library.uu.nl:8080/handle/1874/297709.

Council of Science Editors:

Eelaart Xvd. Matching and Scheduling Algorithms on Large Scale Dynamic Graphs. [Masters Thesis]. Universiteit Utrecht; 2014. Available from: http://dspace.library.uu.nl:8080/handle/1874/297709

3. Cummings, Evan M. MODELING THE CRYOSPHERE WITH FEniCS.

Degree: MS, 2016, Montana Tech

  This manuscript is a collection of problems and solutions related to modeling the cryosphere using the finite element software FEniCS. Included is an introduction… (more)

Subjects/Keywords: Numerical Analysis and Scientific Computing

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APA (6th Edition):

Cummings, E. M. (2016). MODELING THE CRYOSPHERE WITH FEniCS. (Masters Thesis). Montana Tech. Retrieved from https://scholarworks.umt.edu/etd/10802

Chicago Manual of Style (16th Edition):

Cummings, Evan M. “MODELING THE CRYOSPHERE WITH FEniCS.” 2016. Masters Thesis, Montana Tech. Accessed July 11, 2020. https://scholarworks.umt.edu/etd/10802.

MLA Handbook (7th Edition):

Cummings, Evan M. “MODELING THE CRYOSPHERE WITH FEniCS.” 2016. Web. 11 Jul 2020.

Vancouver:

Cummings EM. MODELING THE CRYOSPHERE WITH FEniCS. [Internet] [Masters thesis]. Montana Tech; 2016. [cited 2020 Jul 11]. Available from: https://scholarworks.umt.edu/etd/10802.

Council of Science Editors:

Cummings EM. MODELING THE CRYOSPHERE WITH FEniCS. [Masters Thesis]. Montana Tech; 2016. Available from: https://scholarworks.umt.edu/etd/10802


Victoria University of Wellington

4. Chard, Ryan. Improving the Performance of Cloud-based Scientific Services.

Degree: 2016, Victoria University of Wellington

 Cloud computing provides access to a large scale set of readily available computing resources at the click of a button. The cloud paradigm has commoditised… (more)

Subjects/Keywords: Cloud; Provisioning; Scientific computing

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APA (6th Edition):

Chard, R. (2016). Improving the Performance of Cloud-based Scientific Services. (Doctoral Dissertation). Victoria University of Wellington. Retrieved from http://hdl.handle.net/10063/5285

Chicago Manual of Style (16th Edition):

Chard, Ryan. “Improving the Performance of Cloud-based Scientific Services.” 2016. Doctoral Dissertation, Victoria University of Wellington. Accessed July 11, 2020. http://hdl.handle.net/10063/5285.

MLA Handbook (7th Edition):

Chard, Ryan. “Improving the Performance of Cloud-based Scientific Services.” 2016. Web. 11 Jul 2020.

Vancouver:

Chard R. Improving the Performance of Cloud-based Scientific Services. [Internet] [Doctoral dissertation]. Victoria University of Wellington; 2016. [cited 2020 Jul 11]. Available from: http://hdl.handle.net/10063/5285.

Council of Science Editors:

Chard R. Improving the Performance of Cloud-based Scientific Services. [Doctoral Dissertation]. Victoria University of Wellington; 2016. Available from: http://hdl.handle.net/10063/5285


University of Illinois – Urbana-Champaign

5. Hannasch, David Alexander Von. Spherical ray-tracing.

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

 Many scientific datasets (for example, simulations and reconstructions in astrophysics and geophysics) are spheres or sections of spheres and naturally fit into spherical coordinates. When… (more)

Subjects/Keywords: Scientific computing; Visualization; Computer science

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APA (6th Edition):

Hannasch, D. A. V. (2016). Spherical ray-tracing. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/95529

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):

Hannasch, David Alexander Von. “Spherical ray-tracing.” 2016. Thesis, University of Illinois – Urbana-Champaign. Accessed July 11, 2020. http://hdl.handle.net/2142/95529.

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

MLA Handbook (7th Edition):

Hannasch, David Alexander Von. “Spherical ray-tracing.” 2016. Web. 11 Jul 2020.

Vancouver:

Hannasch DAV. Spherical ray-tracing. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2016. [cited 2020 Jul 11]. Available from: http://hdl.handle.net/2142/95529.

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

Council of Science Editors:

Hannasch DAV. Spherical ray-tracing. [Thesis]. University of Illinois – Urbana-Champaign; 2016. Available from: http://hdl.handle.net/2142/95529

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


University of Southern California

6. Woollard, David. Domain specific software architecture for large-scale scientific software.

Degree: PhD, Computer Science, 2011, University of Southern California

 Scientists today increasingly rely on computers to perform simulations of the physical world that are impractical (in the case of drug discovery), impossible (nano-scale fracture… (more)

Subjects/Keywords: software; scientific computing; workflow

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APA (6th Edition):

Woollard, D. (2011). Domain specific software architecture for large-scale scientific software. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/431327/rec/2098

Chicago Manual of Style (16th Edition):

Woollard, David. “Domain specific software architecture for large-scale scientific software.” 2011. Doctoral Dissertation, University of Southern California. Accessed July 11, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/431327/rec/2098.

MLA Handbook (7th Edition):

Woollard, David. “Domain specific software architecture for large-scale scientific software.” 2011. Web. 11 Jul 2020.

Vancouver:

Woollard D. Domain specific software architecture for large-scale scientific software. [Internet] [Doctoral dissertation]. University of Southern California; 2011. [cited 2020 Jul 11]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/431327/rec/2098.

Council of Science Editors:

Woollard D. Domain specific software architecture for large-scale scientific software. [Doctoral Dissertation]. University of Southern California; 2011. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/431327/rec/2098


University of Colorado

7. Nair, Ramya. Customized Sparse Eigenvalue Solutions in Lighthouse.

Degree: MS, Computer Science, 2014, University of Colorado

  We come across sparse eigenvalue problems in many areas of scientific computing. A variety of high-performance numerical software packages with many different eigensolvers are… (more)

Subjects/Keywords: eigenvalue; scientific computing; Lighthouse; linear algebra; Numerical Analysis and Scientific Computing

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APA (6th Edition):

Nair, R. (2014). Customized Sparse Eigenvalue Solutions in Lighthouse. (Masters Thesis). University of Colorado. Retrieved from https://scholar.colorado.edu/csci_gradetds/89

Chicago Manual of Style (16th Edition):

Nair, Ramya. “Customized Sparse Eigenvalue Solutions in Lighthouse.” 2014. Masters Thesis, University of Colorado. Accessed July 11, 2020. https://scholar.colorado.edu/csci_gradetds/89.

MLA Handbook (7th Edition):

Nair, Ramya. “Customized Sparse Eigenvalue Solutions in Lighthouse.” 2014. Web. 11 Jul 2020.

Vancouver:

Nair R. Customized Sparse Eigenvalue Solutions in Lighthouse. [Internet] [Masters thesis]. University of Colorado; 2014. [cited 2020 Jul 11]. Available from: https://scholar.colorado.edu/csci_gradetds/89.

Council of Science Editors:

Nair R. Customized Sparse Eigenvalue Solutions in Lighthouse. [Masters Thesis]. University of Colorado; 2014. Available from: https://scholar.colorado.edu/csci_gradetds/89


Virginia Tech

8. Rutishauser, David. Implementing Scientific Simulation Codes Tailored for Vector Architectures Using Custom Configurable Computing Machines.

Degree: PhD, Electrical and Computer Engineering, 2010, Virginia Tech

 Prior to the availability of massively parallel supercomputers, the implementation of choice for scientific computing problems such as large numerical physical simulations was typically a… (more)

Subjects/Keywords: Scientific Computing; Vector Computing; Reconfigurable Computing; Field-Programmable Gate Arrays

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APA (6th Edition):

Rutishauser, D. (2010). Implementing Scientific Simulation Codes Tailored for Vector Architectures Using Custom Configurable Computing Machines. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/26838

Chicago Manual of Style (16th Edition):

Rutishauser, David. “Implementing Scientific Simulation Codes Tailored for Vector Architectures Using Custom Configurable Computing Machines.” 2010. Doctoral Dissertation, Virginia Tech. Accessed July 11, 2020. http://hdl.handle.net/10919/26838.

MLA Handbook (7th Edition):

Rutishauser, David. “Implementing Scientific Simulation Codes Tailored for Vector Architectures Using Custom Configurable Computing Machines.” 2010. Web. 11 Jul 2020.

Vancouver:

Rutishauser D. Implementing Scientific Simulation Codes Tailored for Vector Architectures Using Custom Configurable Computing Machines. [Internet] [Doctoral dissertation]. Virginia Tech; 2010. [cited 2020 Jul 11]. Available from: http://hdl.handle.net/10919/26838.

Council of Science Editors:

Rutishauser D. Implementing Scientific Simulation Codes Tailored for Vector Architectures Using Custom Configurable Computing Machines. [Doctoral Dissertation]. Virginia Tech; 2010. Available from: http://hdl.handle.net/10919/26838


UCLA

9. Zipkin, Joseph Robert. Mathematical Models and Methods for Behavior in Social Networks: Urban Crime, Self-Exciting Interactions, and Information Spread.

Degree: Mathematics, 2014, UCLA

 We present three applications of mathematics to problems in the study of social networks. The problems are different enough that each requires its own model… (more)

Subjects/Keywords: Mathematics; Applied mathematics; Scientific computing; Social networks

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APA (6th Edition):

Zipkin, J. R. (2014). Mathematical Models and Methods for Behavior in Social Networks: Urban Crime, Self-Exciting Interactions, and Information Spread. (Thesis). UCLA. Retrieved from http://www.escholarship.org/uc/item/0q7570q5

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):

Zipkin, Joseph Robert. “Mathematical Models and Methods for Behavior in Social Networks: Urban Crime, Self-Exciting Interactions, and Information Spread.” 2014. Thesis, UCLA. Accessed July 11, 2020. http://www.escholarship.org/uc/item/0q7570q5.

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

MLA Handbook (7th Edition):

Zipkin, Joseph Robert. “Mathematical Models and Methods for Behavior in Social Networks: Urban Crime, Self-Exciting Interactions, and Information Spread.” 2014. Web. 11 Jul 2020.

Vancouver:

Zipkin JR. Mathematical Models and Methods for Behavior in Social Networks: Urban Crime, Self-Exciting Interactions, and Information Spread. [Internet] [Thesis]. UCLA; 2014. [cited 2020 Jul 11]. Available from: http://www.escholarship.org/uc/item/0q7570q5.

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

Council of Science Editors:

Zipkin JR. Mathematical Models and Methods for Behavior in Social Networks: Urban Crime, Self-Exciting Interactions, and Information Spread. [Thesis]. UCLA; 2014. Available from: http://www.escholarship.org/uc/item/0q7570q5

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


Université de Montréal

10. Bergeron, Arnaud. Calcul en n-dimensions sur GPU .

Degree: 2013, Université de Montréal

 Le calcul scientifique sur processeurs graphiques (GPU) est en plein essor depuis un certain temps, en particulier dans le domaine de l'apprentissage machine. Cette thèse… (more)

Subjects/Keywords: Calcul scientifique; Python; GPGPU; Scientific computing

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APA (6th Edition):

Bergeron, A. (2013). Calcul en n-dimensions sur GPU . (Thesis). Université de Montréal. Retrieved from http://hdl.handle.net/1866/9994

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):

Bergeron, Arnaud. “Calcul en n-dimensions sur GPU .” 2013. Thesis, Université de Montréal. Accessed July 11, 2020. http://hdl.handle.net/1866/9994.

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

MLA Handbook (7th Edition):

Bergeron, Arnaud. “Calcul en n-dimensions sur GPU .” 2013. Web. 11 Jul 2020.

Vancouver:

Bergeron A. Calcul en n-dimensions sur GPU . [Internet] [Thesis]. Université de Montréal; 2013. [cited 2020 Jul 11]. Available from: http://hdl.handle.net/1866/9994.

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

Council of Science Editors:

Bergeron A. Calcul en n-dimensions sur GPU . [Thesis]. Université de Montréal; 2013. Available from: http://hdl.handle.net/1866/9994

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


University of Newcastle upon Tyne

11. Angus, Christopher Michael. Large scale numerical software development using functional languages.

Degree: PhD, 1998, University of Newcastle upon Tyne

 Functional programming languages such as Haskell allow numerical algorithms to be expressed in a concise, machine-independent manner that closely reflects the underlying mathematical notation in… (more)

Subjects/Keywords: 005; Scientific computing

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APA (6th Edition):

Angus, C. M. (1998). Large scale numerical software development using functional languages. (Doctoral Dissertation). University of Newcastle upon Tyne. Retrieved from http://theses.ncl.ac.uk/jspui/handle/10443/2136 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.262895

Chicago Manual of Style (16th Edition):

Angus, Christopher Michael. “Large scale numerical software development using functional languages.” 1998. Doctoral Dissertation, University of Newcastle upon Tyne. Accessed July 11, 2020. http://theses.ncl.ac.uk/jspui/handle/10443/2136 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.262895.

MLA Handbook (7th Edition):

Angus, Christopher Michael. “Large scale numerical software development using functional languages.” 1998. Web. 11 Jul 2020.

Vancouver:

Angus CM. Large scale numerical software development using functional languages. [Internet] [Doctoral dissertation]. University of Newcastle upon Tyne; 1998. [cited 2020 Jul 11]. Available from: http://theses.ncl.ac.uk/jspui/handle/10443/2136 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.262895.

Council of Science Editors:

Angus CM. Large scale numerical software development using functional languages. [Doctoral Dissertation]. University of Newcastle upon Tyne; 1998. Available from: http://theses.ncl.ac.uk/jspui/handle/10443/2136 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.262895

12. Cheng, Jin. Embedding Theory: Applications and Development .

Degree: PhD, 2016, Princeton University

 This dissertation focuses on the application of density functional embedding theory (DFET), as well as the numerical implementation, verification, and analysis of potential functional embedding… (more)

Subjects/Keywords: embedding theory; scientific computing; surface science

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APA (6th Edition):

Cheng, J. (2016). Embedding Theory: Applications and Development . (Doctoral Dissertation). Princeton University. Retrieved from http://arks.princeton.edu/ark:/88435/dsp019w032544d

Chicago Manual of Style (16th Edition):

Cheng, Jin. “Embedding Theory: Applications and Development .” 2016. Doctoral Dissertation, Princeton University. Accessed July 11, 2020. http://arks.princeton.edu/ark:/88435/dsp019w032544d.

MLA Handbook (7th Edition):

Cheng, Jin. “Embedding Theory: Applications and Development .” 2016. Web. 11 Jul 2020.

Vancouver:

Cheng J. Embedding Theory: Applications and Development . [Internet] [Doctoral dissertation]. Princeton University; 2016. [cited 2020 Jul 11]. Available from: http://arks.princeton.edu/ark:/88435/dsp019w032544d.

Council of Science Editors:

Cheng J. Embedding Theory: Applications and Development . [Doctoral Dissertation]. Princeton University; 2016. Available from: http://arks.princeton.edu/ark:/88435/dsp019w032544d


University of Southern California

13. Peng, Liu. Parallelization framework for scientific application kernels on multi-core/many-core platforms.

Degree: PhD, Computer Science, 2011, University of Southern California

 The advent of multi-core/many-core paradigm has provided unprecedented computing power, and it is of great significance to develop a parallelization framework for various scientific applications… (more)

Subjects/Keywords: multi/many core; parallel computing; scientific simulation

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APA (6th Edition):

Peng, L. (2011). Parallelization framework for scientific application kernels on multi-core/many-core platforms. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/624895/rec/4915

Chicago Manual of Style (16th Edition):

Peng, Liu. “Parallelization framework for scientific application kernels on multi-core/many-core platforms.” 2011. Doctoral Dissertation, University of Southern California. Accessed July 11, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/624895/rec/4915.

MLA Handbook (7th Edition):

Peng, Liu. “Parallelization framework for scientific application kernels on multi-core/many-core platforms.” 2011. Web. 11 Jul 2020.

Vancouver:

Peng L. Parallelization framework for scientific application kernels on multi-core/many-core platforms. [Internet] [Doctoral dissertation]. University of Southern California; 2011. [cited 2020 Jul 11]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/624895/rec/4915.

Council of Science Editors:

Peng L. Parallelization framework for scientific application kernels on multi-core/many-core platforms. [Doctoral Dissertation]. University of Southern California; 2011. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/624895/rec/4915


Penn State University

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

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 July 11, 2020. 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. 11 Jul 2020.

Vancouver:

Shantharam M. Algorithmic Approaches for Enhancing Speedup, Energy and Resiliency Measures of Sparse Scientific Computations. [Internet] [Doctoral dissertation]. Penn State University; 2012. [cited 2020 Jul 11]. 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


University of California – Santa Cruz

15. Buck, Joe. Extending Mapreduce for Scientific Data.

Degree: Computer Science, 2014, University of California – Santa Cruz

 In the last decade, our ability to store data has grown at a greater rate than our ability to process that data via existing methods.… (more)

Subjects/Keywords: Computer science; Distributed Computing; Hadoop; In-situ processing; MapReduce; Scientific Computing

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APA (6th Edition):

Buck, J. (2014). Extending Mapreduce for Scientific Data. (Thesis). University of California – Santa Cruz. Retrieved from http://www.escholarship.org/uc/item/2gn5x6df

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):

Buck, Joe. “Extending Mapreduce for Scientific Data.” 2014. Thesis, University of California – Santa Cruz. Accessed July 11, 2020. http://www.escholarship.org/uc/item/2gn5x6df.

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

MLA Handbook (7th Edition):

Buck, Joe. “Extending Mapreduce for Scientific Data.” 2014. Web. 11 Jul 2020.

Vancouver:

Buck J. Extending Mapreduce for Scientific Data. [Internet] [Thesis]. University of California – Santa Cruz; 2014. [cited 2020 Jul 11]. Available from: http://www.escholarship.org/uc/item/2gn5x6df.

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

Council of Science Editors:

Buck J. Extending Mapreduce for Scientific Data. [Thesis]. University of California – Santa Cruz; 2014. Available from: http://www.escholarship.org/uc/item/2gn5x6df

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


Universidade Nova

16. Oliveira, Luís Miguel Picciochi de. A framework for scientific computing with GPUs.

Degree: 2012, Universidade Nova

Dissertação para obtenção do Grau de Mestre em Engenharia Informática

Commodity hardware nowadays includes not only many-core CPUs but also Graphics Processing Units (GPUs) whose… (more)

Subjects/Keywords: Job scheduling; GPGPU; OpenCL; Run-time support; Distributed computing; Scientific computing

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APA (6th Edition):

Oliveira, L. M. P. d. (2012). A framework for scientific computing with GPUs. (Thesis). Universidade Nova. Retrieved from http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/7817

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):

Oliveira, Luís Miguel Picciochi de. “A framework for scientific computing with GPUs.” 2012. Thesis, Universidade Nova. Accessed July 11, 2020. http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/7817.

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

MLA Handbook (7th Edition):

Oliveira, Luís Miguel Picciochi de. “A framework for scientific computing with GPUs.” 2012. Web. 11 Jul 2020.

Vancouver:

Oliveira LMPd. A framework for scientific computing with GPUs. [Internet] [Thesis]. Universidade Nova; 2012. [cited 2020 Jul 11]. Available from: http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/7817.

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

Council of Science Editors:

Oliveira LMPd. A framework for scientific computing with GPUs. [Thesis]. Universidade Nova; 2012. Available from: http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/7817

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


University of Colorado

17. Marshall, Paul D. Large-Scale Elastic Computing with Virtual Machines.

Degree: PhD, Computer Science, 2013, University of Colorado

  Computational resources experience dynamic load because demand is not constant. As a result, resource providers (RPs) must estimate the appropriate amount of resources to… (more)

Subjects/Keywords: elastic computing; scientific computing; virtual machines; Computer Sciences

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APA (6th Edition):

Marshall, P. D. (2013). Large-Scale Elastic Computing with Virtual Machines. (Doctoral Dissertation). University of Colorado. Retrieved from https://scholar.colorado.edu/csci_gradetds/74

Chicago Manual of Style (16th Edition):

Marshall, Paul D. “Large-Scale Elastic Computing with Virtual Machines.” 2013. Doctoral Dissertation, University of Colorado. Accessed July 11, 2020. https://scholar.colorado.edu/csci_gradetds/74.

MLA Handbook (7th Edition):

Marshall, Paul D. “Large-Scale Elastic Computing with Virtual Machines.” 2013. Web. 11 Jul 2020.

Vancouver:

Marshall PD. Large-Scale Elastic Computing with Virtual Machines. [Internet] [Doctoral dissertation]. University of Colorado; 2013. [cited 2020 Jul 11]. Available from: https://scholar.colorado.edu/csci_gradetds/74.

Council of Science Editors:

Marshall PD. Large-Scale Elastic Computing with Virtual Machines. [Doctoral Dissertation]. University of Colorado; 2013. Available from: https://scholar.colorado.edu/csci_gradetds/74


University of Waterloo

18. Xiang, Jingen. Scalable Scientific Computing Algorithms Using MapReduce.

Degree: 2013, University of Waterloo

 Cloud computing systems, like MapReduce and Pregel, provide a scalable and fault tolerant environment for running computations at massive scale. However, these systems are designed… (more)

Subjects/Keywords: Scientific Computing; Cloud Computing; MapReduce; Hadoop; Matrix Inversion; Maximum Clique

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

APA (6th Edition):

Xiang, J. (2013). Scalable Scientific Computing Algorithms Using MapReduce. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/7830

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):

Xiang, Jingen. “Scalable Scientific Computing Algorithms Using MapReduce.” 2013. Thesis, University of Waterloo. Accessed July 11, 2020. http://hdl.handle.net/10012/7830.

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

MLA Handbook (7th Edition):

Xiang, Jingen. “Scalable Scientific Computing Algorithms Using MapReduce.” 2013. Web. 11 Jul 2020.

Vancouver:

Xiang J. Scalable Scientific Computing Algorithms Using MapReduce. [Internet] [Thesis]. University of Waterloo; 2013. [cited 2020 Jul 11]. Available from: http://hdl.handle.net/10012/7830.

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

Council of Science Editors:

Xiang J. Scalable Scientific Computing Algorithms Using MapReduce. [Thesis]. University of Waterloo; 2013. Available from: http://hdl.handle.net/10012/7830

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


University of Notre Dame

19. Li Yu. Right-sizing Resource Allocations for Scientific Applications in Clusters, Grids, and Clouds</h1>.

Degree: Computer Science and Engineering, 2013, University of Notre Dame

  Clouds have joined clusters and grids as powerful environments for large scale scientific computing. While these platforms provide virtually unlimited computing resources, using more… (more)

Subjects/Keywords: resource management; distributed systems; scientific computing; cloud computing

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APA (6th Edition):

Yu, L. (2013). Right-sizing Resource Allocations for Scientific Applications in Clusters, Grids, and Clouds</h1>. (Thesis). University of Notre Dame. Retrieved from https://curate.nd.edu/show/8p58pc30b6w

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, Li. “Right-sizing Resource Allocations for Scientific Applications in Clusters, Grids, and Clouds</h1>.” 2013. Thesis, University of Notre Dame. Accessed July 11, 2020. https://curate.nd.edu/show/8p58pc30b6w.

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

MLA Handbook (7th Edition):

Yu, Li. “Right-sizing Resource Allocations for Scientific Applications in Clusters, Grids, and Clouds</h1>.” 2013. Web. 11 Jul 2020.

Vancouver:

Yu L. Right-sizing Resource Allocations for Scientific Applications in Clusters, Grids, and Clouds</h1>. [Internet] [Thesis]. University of Notre Dame; 2013. [cited 2020 Jul 11]. Available from: https://curate.nd.edu/show/8p58pc30b6w.

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

Council of Science Editors:

Yu L. Right-sizing Resource Allocations for Scientific Applications in Clusters, Grids, and Clouds</h1>. [Thesis]. University of Notre Dame; 2013. Available from: https://curate.nd.edu/show/8p58pc30b6w

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


McMaster University

20. Dobrogost, Michal. Verifying Permutation Rewritable Hazard Free Loops.

Degree: MSc, 2011, McMaster University

We present an extension to the language of Atomic Verifiable Operation (AVOp) streams to allow the expression of loops which are rewritable via an… (more)

Subjects/Keywords: parallelism multicore verification permutation high-performance computing; Numerical Analysis and Scientific Computing; Numerical Analysis and Scientific Computing

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APA (6th Edition):

Dobrogost, M. (2011). Verifying Permutation Rewritable Hazard Free Loops. (Masters Thesis). McMaster University. Retrieved from http://hdl.handle.net/11375/10755

Chicago Manual of Style (16th Edition):

Dobrogost, Michal. “Verifying Permutation Rewritable Hazard Free Loops.” 2011. Masters Thesis, McMaster University. Accessed July 11, 2020. http://hdl.handle.net/11375/10755.

MLA Handbook (7th Edition):

Dobrogost, Michal. “Verifying Permutation Rewritable Hazard Free Loops.” 2011. Web. 11 Jul 2020.

Vancouver:

Dobrogost M. Verifying Permutation Rewritable Hazard Free Loops. [Internet] [Masters thesis]. McMaster University; 2011. [cited 2020 Jul 11]. Available from: http://hdl.handle.net/11375/10755.

Council of Science Editors:

Dobrogost M. Verifying Permutation Rewritable Hazard Free Loops. [Masters Thesis]. McMaster University; 2011. Available from: http://hdl.handle.net/11375/10755


The Ohio State University

21. Bas, Erdeniz Ozgun. Load-Balancing Spatially Located Computations using Rectangular Partitions.

Degree: MS, Computer Science and Engineering, 2011, The Ohio State University

 Distributing spatially located heterogeneous workloads is an important problem in parallel scientific computing. Particle-in-cell simulators, ray tracing and partial differential equations are some of the… (more)

Subjects/Keywords: Computer Science; matrix partitioning; load balancing; rectangular partitioning; scientific computing; high performance computing; parallel computing

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APA (6th Edition):

Bas, E. O. (2011). Load-Balancing Spatially Located Computations using Rectangular Partitions. (Masters Thesis). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1306909831

Chicago Manual of Style (16th Edition):

Bas, Erdeniz Ozgun. “Load-Balancing Spatially Located Computations using Rectangular Partitions.” 2011. Masters Thesis, The Ohio State University. Accessed July 11, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1306909831.

MLA Handbook (7th Edition):

Bas, Erdeniz Ozgun. “Load-Balancing Spatially Located Computations using Rectangular Partitions.” 2011. Web. 11 Jul 2020.

Vancouver:

Bas EO. Load-Balancing Spatially Located Computations using Rectangular Partitions. [Internet] [Masters thesis]. The Ohio State University; 2011. [cited 2020 Jul 11]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1306909831.

Council of Science Editors:

Bas EO. Load-Balancing Spatially Located Computations using Rectangular Partitions. [Masters Thesis]. The Ohio State University; 2011. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1306909831


University of Manchester

22. Malenta, Mateusz. EXPLORING THE DYNAMIC RADIO SKY WITH MANY-CORE HIGH-PERFORMANCE COMPUTING.

Degree: 2018, University of Manchester

 As new radio telescopes and processing facilities are being built, the amount of data that has to be processed is growing continuously. This poses significant… (more)

Subjects/Keywords: pulsars; fast radio bursts; radio astronomy; high performance computing; gpu computing; pipelines; scientific computing; FRB

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

APA (6th Edition):

Malenta, M. (2018). EXPLORING THE DYNAMIC RADIO SKY WITH MANY-CORE HIGH-PERFORMANCE COMPUTING. (Doctoral Dissertation). University of Manchester. Retrieved from http://www.manchester.ac.uk/escholar/uk-ac-man-scw:316997

Chicago Manual of Style (16th Edition):

Malenta, Mateusz. “EXPLORING THE DYNAMIC RADIO SKY WITH MANY-CORE HIGH-PERFORMANCE COMPUTING.” 2018. Doctoral Dissertation, University of Manchester. Accessed July 11, 2020. http://www.manchester.ac.uk/escholar/uk-ac-man-scw:316997.

MLA Handbook (7th Edition):

Malenta, Mateusz. “EXPLORING THE DYNAMIC RADIO SKY WITH MANY-CORE HIGH-PERFORMANCE COMPUTING.” 2018. Web. 11 Jul 2020.

Vancouver:

Malenta M. EXPLORING THE DYNAMIC RADIO SKY WITH MANY-CORE HIGH-PERFORMANCE COMPUTING. [Internet] [Doctoral dissertation]. University of Manchester; 2018. [cited 2020 Jul 11]. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:316997.

Council of Science Editors:

Malenta M. EXPLORING THE DYNAMIC RADIO SKY WITH MANY-CORE HIGH-PERFORMANCE COMPUTING. [Doctoral Dissertation]. University of Manchester; 2018. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:316997


New Jersey Institute of Technology

23. Shu, Tong. Performance optimization and energy efficiency of big-data computing workflows.

Degree: PhD, Computer Science, 2017, New Jersey Institute of Technology

  Next-generation e-science is producing colossal amounts of data, now frequently termed as Big Data, on the order of terabyte at present and petabyte or… (more)

Subjects/Keywords: Big data; Scientific workflow; Green computing; Cloud computing; Parallel computing; Map reduce; Computer Sciences

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

APA (6th Edition):

Shu, T. (2017). Performance optimization and energy efficiency of big-data computing workflows. (Doctoral Dissertation). New Jersey Institute of Technology. Retrieved from https://digitalcommons.njit.edu/dissertations/41

Chicago Manual of Style (16th Edition):

Shu, Tong. “Performance optimization and energy efficiency of big-data computing workflows.” 2017. Doctoral Dissertation, New Jersey Institute of Technology. Accessed July 11, 2020. https://digitalcommons.njit.edu/dissertations/41.

MLA Handbook (7th Edition):

Shu, Tong. “Performance optimization and energy efficiency of big-data computing workflows.” 2017. Web. 11 Jul 2020.

Vancouver:

Shu T. Performance optimization and energy efficiency of big-data computing workflows. [Internet] [Doctoral dissertation]. New Jersey Institute of Technology; 2017. [cited 2020 Jul 11]. Available from: https://digitalcommons.njit.edu/dissertations/41.

Council of Science Editors:

Shu T. Performance optimization and energy efficiency of big-data computing workflows. [Doctoral Dissertation]. New Jersey Institute of Technology; 2017. Available from: https://digitalcommons.njit.edu/dissertations/41


New Jersey Institute of Technology

24. Chu, Dongliang. Accelerating data-intensive scientific visualization and computing through parallelization.

Degree: PhD, Computer Science, 2016, New Jersey Institute of Technology

  Many extreme-scale scientific applications generate colossal amounts of data that require an increasing number of processors for parallel processing. The research in this dissertation… (more)

Subjects/Keywords: Scientific visualization; Scientific computing; Image composition; QR decomposition; Order dependency; Order independence; Computer Sciences

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APA (6th Edition):

Chu, D. (2016). Accelerating data-intensive scientific visualization and computing through parallelization. (Doctoral Dissertation). New Jersey Institute of Technology. Retrieved from https://digitalcommons.njit.edu/dissertations/94

Chicago Manual of Style (16th Edition):

Chu, Dongliang. “Accelerating data-intensive scientific visualization and computing through parallelization.” 2016. Doctoral Dissertation, New Jersey Institute of Technology. Accessed July 11, 2020. https://digitalcommons.njit.edu/dissertations/94.

MLA Handbook (7th Edition):

Chu, Dongliang. “Accelerating data-intensive scientific visualization and computing through parallelization.” 2016. Web. 11 Jul 2020.

Vancouver:

Chu D. Accelerating data-intensive scientific visualization and computing through parallelization. [Internet] [Doctoral dissertation]. New Jersey Institute of Technology; 2016. [cited 2020 Jul 11]. Available from: https://digitalcommons.njit.edu/dissertations/94.

Council of Science Editors:

Chu D. Accelerating data-intensive scientific visualization and computing through parallelization. [Doctoral Dissertation]. New Jersey Institute of Technology; 2016. Available from: https://digitalcommons.njit.edu/dissertations/94


McMaster University

25. Watson, Sean C. Locating Carbon Bonds from INADEQUATE Spectra using Continuous Optimization Methods and Non-Uniform K-Space Sampling.

Degree: MASc, 2011, McMaster University

The 2-D INADEQUATE experiment is a useful experiment for determining carbon structures of organic molecules known for having low signal-to-noise ratios. A non-linear optimization… (more)

Subjects/Keywords: NMR; Optimization; Image Reconstruction; Fourier Transform; INADEQUATE; Numerical Analysis and Scientific Computing; Numerical Analysis and Scientific Computing

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APA (6th Edition):

Watson, S. C. (2011). Locating Carbon Bonds from INADEQUATE Spectra using Continuous Optimization Methods and Non-Uniform K-Space Sampling. (Masters Thesis). McMaster University. Retrieved from http://hdl.handle.net/11375/10093

Chicago Manual of Style (16th Edition):

Watson, Sean C. “Locating Carbon Bonds from INADEQUATE Spectra using Continuous Optimization Methods and Non-Uniform K-Space Sampling.” 2011. Masters Thesis, McMaster University. Accessed July 11, 2020. http://hdl.handle.net/11375/10093.

MLA Handbook (7th Edition):

Watson, Sean C. “Locating Carbon Bonds from INADEQUATE Spectra using Continuous Optimization Methods and Non-Uniform K-Space Sampling.” 2011. Web. 11 Jul 2020.

Vancouver:

Watson SC. Locating Carbon Bonds from INADEQUATE Spectra using Continuous Optimization Methods and Non-Uniform K-Space Sampling. [Internet] [Masters thesis]. McMaster University; 2011. [cited 2020 Jul 11]. Available from: http://hdl.handle.net/11375/10093.

Council of Science Editors:

Watson SC. Locating Carbon Bonds from INADEQUATE Spectra using Continuous Optimization Methods and Non-Uniform K-Space Sampling. [Masters Thesis]. McMaster University; 2011. Available from: http://hdl.handle.net/11375/10093

26. Tang, Simon. A Combined Quadtree/Delaunay Method for 2d Mesh Generation.

Degree: MS, Electrical & Computer Engineering, 2012, University of Massachusetts

  Unstructured simplicial mesh is an integral and critical part of many computational electromagnetics methods (CEM) such as the finite element method (FEM) and the… (more)

Subjects/Keywords: mesh; delaunay; antenna; finite element method; domain decomposition; scientific computing; Computational Engineering; Numerical Analysis and Scientific Computing

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APA (6th Edition):

Tang, S. (2012). A Combined Quadtree/Delaunay Method for 2d Mesh Generation. (Masters Thesis). University of Massachusetts. Retrieved from https://scholarworks.umass.edu/theses/845

Chicago Manual of Style (16th Edition):

Tang, Simon. “A Combined Quadtree/Delaunay Method for 2d Mesh Generation.” 2012. Masters Thesis, University of Massachusetts. Accessed July 11, 2020. https://scholarworks.umass.edu/theses/845.

MLA Handbook (7th Edition):

Tang, Simon. “A Combined Quadtree/Delaunay Method for 2d Mesh Generation.” 2012. Web. 11 Jul 2020.

Vancouver:

Tang S. A Combined Quadtree/Delaunay Method for 2d Mesh Generation. [Internet] [Masters thesis]. University of Massachusetts; 2012. [cited 2020 Jul 11]. Available from: https://scholarworks.umass.edu/theses/845.

Council of Science Editors:

Tang S. A Combined Quadtree/Delaunay Method for 2d Mesh Generation. [Masters Thesis]. University of Massachusetts; 2012. Available from: https://scholarworks.umass.edu/theses/845


Florida International University

27. Delgado, Javier. Scheduling Medical Application Workloads on Virtualized Computing Systems.

Degree: PhD, Electrical Engineering, 2012, Florida International University

  This dissertation presents and evaluates a methodology for scheduling medical application workloads in virtualized computing environments. Such environments are being widely adopted by providers… (more)

Subjects/Keywords: distributed systems; scientific computing; medical image processing; job scheduling; virtualization; parallel processing; Computer and Systems Architecture; Numerical Analysis and Scientific Computing

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APA (6th Edition):

Delgado, J. (2012). Scheduling Medical Application Workloads on Virtualized Computing Systems. (Doctoral Dissertation). Florida International University. Retrieved from https://digitalcommons.fiu.edu/etd/633 ; 10.25148/etd.FI12050239 ; FI12050239

Chicago Manual of Style (16th Edition):

Delgado, Javier. “Scheduling Medical Application Workloads on Virtualized Computing Systems.” 2012. Doctoral Dissertation, Florida International University. Accessed July 11, 2020. https://digitalcommons.fiu.edu/etd/633 ; 10.25148/etd.FI12050239 ; FI12050239.

MLA Handbook (7th Edition):

Delgado, Javier. “Scheduling Medical Application Workloads on Virtualized Computing Systems.” 2012. Web. 11 Jul 2020.

Vancouver:

Delgado J. Scheduling Medical Application Workloads on Virtualized Computing Systems. [Internet] [Doctoral dissertation]. Florida International University; 2012. [cited 2020 Jul 11]. Available from: https://digitalcommons.fiu.edu/etd/633 ; 10.25148/etd.FI12050239 ; FI12050239.

Council of Science Editors:

Delgado J. Scheduling Medical Application Workloads on Virtualized Computing Systems. [Doctoral Dissertation]. Florida International University; 2012. Available from: https://digitalcommons.fiu.edu/etd/633 ; 10.25148/etd.FI12050239 ; FI12050239


The Ohio State University

28. Bicer, Tekin. Supporting Data-Intensive Scientic Computing on Bandwidth and Space Constrained Environments.

Degree: PhD, Computer Science and Engineering, 2014, The Ohio State University

Scientific applications, simulations and instruments generate massive amount of data. This data does not only contribute to the already existing scientific areas, but it also… (more)

Subjects/Keywords: Computer Science; Data-Intensive Computing; Map-Reduce; Cloud Computing; Big Data; Scientific Data Management; Compression

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APA (6th Edition):

Bicer, T. (2014). Supporting Data-Intensive Scientic Computing on Bandwidth and Space Constrained Environments. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1397749544

Chicago Manual of Style (16th Edition):

Bicer, Tekin. “Supporting Data-Intensive Scientic Computing on Bandwidth and Space Constrained Environments.” 2014. Doctoral Dissertation, The Ohio State University. Accessed July 11, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1397749544.

MLA Handbook (7th Edition):

Bicer, Tekin. “Supporting Data-Intensive Scientic Computing on Bandwidth and Space Constrained Environments.” 2014. Web. 11 Jul 2020.

Vancouver:

Bicer T. Supporting Data-Intensive Scientic Computing on Bandwidth and Space Constrained Environments. [Internet] [Doctoral dissertation]. The Ohio State University; 2014. [cited 2020 Jul 11]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1397749544.

Council of Science Editors:

Bicer T. Supporting Data-Intensive Scientic Computing on Bandwidth and Space Constrained Environments. [Doctoral Dissertation]. The Ohio State University; 2014. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1397749544


California State University – Channel Islands

29. Clinkenbeard, Drew. CloudSuite: Ad Hoc Laboratories Using Cloud Resources .

Degree: 2013, California State University – Channel Islands

 Cloud Suite presents a proof of concept for cloud based ad hoc virtual laboratories. Using Amazon Web Services and a persistent web server, Cloud Suite… (more)

Subjects/Keywords: Computer Science thesis; Cloud computing; Virtual laboratories; CloudSuite; Scientific computing; Computer simulation

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APA (6th Edition):

Clinkenbeard, D. (2013). CloudSuite: Ad Hoc Laboratories Using Cloud Resources . (Thesis). California State University – Channel Islands. Retrieved from http://hdl.handle.net/10211.3/52691

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):

Clinkenbeard, Drew. “CloudSuite: Ad Hoc Laboratories Using Cloud Resources .” 2013. Thesis, California State University – Channel Islands. Accessed July 11, 2020. http://hdl.handle.net/10211.3/52691.

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

MLA Handbook (7th Edition):

Clinkenbeard, Drew. “CloudSuite: Ad Hoc Laboratories Using Cloud Resources .” 2013. Web. 11 Jul 2020.

Vancouver:

Clinkenbeard D. CloudSuite: Ad Hoc Laboratories Using Cloud Resources . [Internet] [Thesis]. California State University – Channel Islands; 2013. [cited 2020 Jul 11]. Available from: http://hdl.handle.net/10211.3/52691.

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

Council of Science Editors:

Clinkenbeard D. CloudSuite: Ad Hoc Laboratories Using Cloud Resources . [Thesis]. California State University – Channel Islands; 2013. Available from: http://hdl.handle.net/10211.3/52691

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


University of Notre Dame

30. Michael Albrecht. Design of a Data Repository for a Long-Running Physics Experimen</h1>.

Degree: Computer Science and Engineering, 2010, University of Notre Dame

  Dataset sizes for scientific experiments are expanding at a prodigious rate. Even small-scale laboratories can produce terabytes of raw data each year. This data… (more)

Subjects/Keywords: distributed computing; active storage; scientific computing

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APA (6th Edition):

Albrecht, M. (2010). Design of a Data Repository for a Long-Running Physics Experimen</h1>. (Thesis). University of Notre Dame. Retrieved from https://curate.nd.edu/show/ks65h99222z

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):

Albrecht, Michael. “Design of a Data Repository for a Long-Running Physics Experimen</h1>.” 2010. Thesis, University of Notre Dame. Accessed July 11, 2020. https://curate.nd.edu/show/ks65h99222z.

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

MLA Handbook (7th Edition):

Albrecht, Michael. “Design of a Data Repository for a Long-Running Physics Experimen</h1>.” 2010. Web. 11 Jul 2020.

Vancouver:

Albrecht M. Design of a Data Repository for a Long-Running Physics Experimen</h1>. [Internet] [Thesis]. University of Notre Dame; 2010. [cited 2020 Jul 11]. Available from: https://curate.nd.edu/show/ks65h99222z.

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

Council of Science Editors:

Albrecht M. Design of a Data Repository for a Long-Running Physics Experimen</h1>. [Thesis]. University of Notre Dame; 2010. Available from: https://curate.nd.edu/show/ks65h99222z

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

[1] [2] [3] [4] [5] … [13]

.