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Dept: Computer Science

You searched for +publisher:"University of Southern California" +contributor:("Prasanna, Viktor K."). Showing records 1 – 18 of 18 total matches.

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University of Southern California

1. Khan, Malik Muhammad Zaki Murtaza. Autotuning, code generation and optimizing compiler technology for GPUs.

Degree: PhD, Computer Science, 2012, University of Southern California

 Graphics Processing Units (GPUs) have evolved to devices with teraflop-level performance potential. Application developers have a tedious task in developing GPU software by correctly identifying… (more)

Subjects/Keywords: code optimization; compiler technology; autotuning; GPGPU; CUDA; GPU programming.

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APA (6th Edition):

Khan, M. M. Z. M. (2012). Autotuning, code generation and optimizing compiler technology for GPUs. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/21922/rec/1008

Chicago Manual of Style (16th Edition):

Khan, Malik Muhammad Zaki Murtaza. “Autotuning, code generation and optimizing compiler technology for GPUs.” 2012. Doctoral Dissertation, University of Southern California. Accessed November 19, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/21922/rec/1008.

MLA Handbook (7th Edition):

Khan, Malik Muhammad Zaki Murtaza. “Autotuning, code generation and optimizing compiler technology for GPUs.” 2012. Web. 19 Nov 2019.

Vancouver:

Khan MMZM. Autotuning, code generation and optimizing compiler technology for GPUs. [Internet] [Doctoral dissertation]. University of Southern California; 2012. [cited 2019 Nov 19]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/21922/rec/1008.

Council of Science Editors:

Khan MMZM. Autotuning, code generation and optimizing compiler technology for GPUs. [Doctoral Dissertation]. University of Southern California; 2012. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/21922/rec/1008


University of Southern California

2. Chelmis, Charalampos. Heterogeneous graphs versus multimodal content: modeling, mining, and analysis of social network data.

Degree: PhD, Computer Science, 2013, University of Southern California

 Complex networks arise everywhere. Online social networks are a famous example of complex networks due to: (a) revolutionizing the way people interact on the Web,… (more)

Subjects/Keywords: complex networks; implicit relationships; influence; recommendation; semantic integration; social networks

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APA (6th Edition):

Chelmis, C. (2013). Heterogeneous graphs versus multimodal content: modeling, mining, and analysis of social network data. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/345886/rec/3159

Chicago Manual of Style (16th Edition):

Chelmis, Charalampos. “Heterogeneous graphs versus multimodal content: modeling, mining, and analysis of social network data.” 2013. Doctoral Dissertation, University of Southern California. Accessed November 19, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/345886/rec/3159.

MLA Handbook (7th Edition):

Chelmis, Charalampos. “Heterogeneous graphs versus multimodal content: modeling, mining, and analysis of social network data.” 2013. Web. 19 Nov 2019.

Vancouver:

Chelmis C. Heterogeneous graphs versus multimodal content: modeling, mining, and analysis of social network data. [Internet] [Doctoral dissertation]. University of Southern California; 2013. [cited 2019 Nov 19]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/345886/rec/3159.

Council of Science Editors:

Chelmis C. Heterogeneous graphs versus multimodal content: modeling, mining, and analysis of social network data. [Doctoral Dissertation]. University of Southern California; 2013. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/345886/rec/3159


University of Southern California

3. Zhu, Tao. Semantic web technologies for event analysis in reservoir engineering.

Degree: PhD, Computer Science, 2010, University of Southern California

 An event refers to an action or a change of state of an object in a specific domain. Efficient integration and analysis of event information… (more)

Subjects/Keywords: event correlation; event ontology; reservoir engineering; semantic web

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APA (6th Edition):

Zhu, T. (2010). Semantic web technologies for event analysis in reservoir engineering. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/336791/rec/5777

Chicago Manual of Style (16th Edition):

Zhu, Tao. “Semantic web technologies for event analysis in reservoir engineering.” 2010. Doctoral Dissertation, University of Southern California. Accessed November 19, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/336791/rec/5777.

MLA Handbook (7th Edition):

Zhu, Tao. “Semantic web technologies for event analysis in reservoir engineering.” 2010. Web. 19 Nov 2019.

Vancouver:

Zhu T. Semantic web technologies for event analysis in reservoir engineering. [Internet] [Doctoral dissertation]. University of Southern California; 2010. [cited 2019 Nov 19]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/336791/rec/5777.

Council of Science Editors:

Zhu T. Semantic web technologies for event analysis in reservoir engineering. [Doctoral Dissertation]. University of Southern California; 2010. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/336791/rec/5777


University of Southern California

4. 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/4910

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 November 19, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/624895/rec/4910.

MLA Handbook (7th Edition):

Peng, Liu. “Parallelization framework for scientific application kernels on multi-core/many-core platforms.” 2011. Web. 19 Nov 2019.

Vancouver:

Peng L. Parallelization framework for scientific application kernels on multi-core/many-core platforms. [Internet] [Doctoral dissertation]. University of Southern California; 2011. [cited 2019 Nov 19]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/624895/rec/4910.

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/4910


University of Southern California

5. Ma, Nam. Scalable exact inference in probabilistic graphical models on multi-core platforms.

Degree: PhD, Computer Science, 2014, University of Southern California

 The recent switch to multi‐core computing and the emergence of machine learning applications have offered many opportunities for parallelization. However, achieving scalability with respect to… (more)

Subjects/Keywords: parallel algorithms; probabilistic inference; scalability; graph computations; graphical models; multi‐core

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APA (6th Edition):

Ma, N. (2014). Scalable exact inference in probabilistic graphical models on multi-core platforms. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/373594/rec/5681

Chicago Manual of Style (16th Edition):

Ma, Nam. “Scalable exact inference in probabilistic graphical models on multi-core platforms.” 2014. Doctoral Dissertation, University of Southern California. Accessed November 19, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/373594/rec/5681.

MLA Handbook (7th Edition):

Ma, Nam. “Scalable exact inference in probabilistic graphical models on multi-core platforms.” 2014. Web. 19 Nov 2019.

Vancouver:

Ma N. Scalable exact inference in probabilistic graphical models on multi-core platforms. [Internet] [Doctoral dissertation]. University of Southern California; 2014. [cited 2019 Nov 19]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/373594/rec/5681.

Council of Science Editors:

Ma N. Scalable exact inference in probabilistic graphical models on multi-core platforms. [Doctoral Dissertation]. University of Southern California; 2014. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/373594/rec/5681


University of Southern California

6. Chen, Na. Understanding semantic relationships between data objects.

Degree: PhD, Computer Science, 2013, University of Southern California

 Understanding the semantic relationships between data objects has been a critical step towards getting useful semantic information for better integration, search and decision-making. This thesis… (more)

Subjects/Keywords: image semantics; image understanding; image clustering; image search; relationship ranking; semantic data mining; Semantic Web

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APA (6th Edition):

Chen, N. (2013). Understanding semantic relationships between data objects. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/310973/rec/7668

Chicago Manual of Style (16th Edition):

Chen, Na. “Understanding semantic relationships between data objects.” 2013. Doctoral Dissertation, University of Southern California. Accessed November 19, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/310973/rec/7668.

MLA Handbook (7th Edition):

Chen, Na. “Understanding semantic relationships between data objects.” 2013. Web. 19 Nov 2019.

Vancouver:

Chen N. Understanding semantic relationships between data objects. [Internet] [Doctoral dissertation]. University of Southern California; 2013. [cited 2019 Nov 19]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/310973/rec/7668.

Council of Science Editors:

Chen N. Understanding semantic relationships between data objects. [Doctoral Dissertation]. University of Southern California; 2013. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/310973/rec/7668


University of Southern California

7. Chen, Weiwei. Workflow restructuring techniques for improving the performance of scientific workflows executing in distributed environments.

Degree: PhD, Computer Science, 2014, University of Southern California

 Scientific workflows are a means of defining and orchestrating large, complex, multi-stage computations that perform data analysis, simulation, visualization, etc. Scientific workflows often involve a… (more)

Subjects/Keywords: task clustering; workflow; fault tolerance; load balance

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APA (6th Edition):

Chen, W. (2014). Workflow restructuring techniques for improving the performance of scientific workflows executing in distributed environments. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/477521/rec/7959

Chicago Manual of Style (16th Edition):

Chen, Weiwei. “Workflow restructuring techniques for improving the performance of scientific workflows executing in distributed environments.” 2014. Doctoral Dissertation, University of Southern California. Accessed November 19, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/477521/rec/7959.

MLA Handbook (7th Edition):

Chen, Weiwei. “Workflow restructuring techniques for improving the performance of scientific workflows executing in distributed environments.” 2014. Web. 19 Nov 2019.

Vancouver:

Chen W. Workflow restructuring techniques for improving the performance of scientific workflows executing in distributed environments. [Internet] [Doctoral dissertation]. University of Southern California; 2014. [cited 2019 Nov 19]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/477521/rec/7959.

Council of Science Editors:

Chen W. Workflow restructuring techniques for improving the performance of scientific workflows executing in distributed environments. [Doctoral Dissertation]. University of Southern California; 2014. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/477521/rec/7959


University of Southern California

8. Sun, Fan. A provenance management framework for reservoir engineering.

Degree: PhD, Computer Science, 2010, University of Southern California

 Provenance is metadata that pertains to the history of data products. It is useful information in tracing the audit trails of data, determining the resource… (more)

Subjects/Keywords: provenance management; reservoir engineering; workflow; smart oilfield

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APA (6th Edition):

Sun, F. (2010). A provenance management framework for reservoir engineering. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/386157/rec/319

Chicago Manual of Style (16th Edition):

Sun, Fan. “A provenance management framework for reservoir engineering.” 2010. Doctoral Dissertation, University of Southern California. Accessed November 19, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/386157/rec/319.

MLA Handbook (7th Edition):

Sun, Fan. “A provenance management framework for reservoir engineering.” 2010. Web. 19 Nov 2019.

Vancouver:

Sun F. A provenance management framework for reservoir engineering. [Internet] [Doctoral dissertation]. University of Southern California; 2010. [cited 2019 Nov 19]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/386157/rec/319.

Council of Science Editors:

Sun F. A provenance management framework for reservoir engineering. [Doctoral Dissertation]. University of Southern California; 2010. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/386157/rec/319


University of Southern California

9. Xia, Yinglong. Exploration of parallelism for probabilistic graphical models.

Degree: PhD, Computer Science, 2010, University of Southern California

 Probabilistic graphical models such as Bayesian networks and junction trees are widely used to compactly represent joint probability distributions. They have found applications in a… (more)

Subjects/Keywords: parallel computing; parallel algorithm; probabilistic graphical model; exact inference; multicore processor; scheduler

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APA (6th Edition):

Xia, Y. (2010). Exploration of parallelism for probabilistic graphical models. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/420474/rec/2645

Chicago Manual of Style (16th Edition):

Xia, Yinglong. “Exploration of parallelism for probabilistic graphical models.” 2010. Doctoral Dissertation, University of Southern California. Accessed November 19, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/420474/rec/2645.

MLA Handbook (7th Edition):

Xia, Yinglong. “Exploration of parallelism for probabilistic graphical models.” 2010. Web. 19 Nov 2019.

Vancouver:

Xia Y. Exploration of parallelism for probabilistic graphical models. [Internet] [Doctoral dissertation]. University of Southern California; 2010. [cited 2019 Nov 19]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/420474/rec/2645.

Council of Science Editors:

Xia Y. Exploration of parallelism for probabilistic graphical models. [Doctoral Dissertation]. University of Southern California; 2010. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/420474/rec/2645


University of Southern California

10. Pal, Ranjan. Improving network security through cyber-insurance.

Degree: PhD, Computer Science, 2014, University of Southern California

 In recent years, security researchers have well established the fact that technical security solutions alone will not result in a robust cyberspace due to several… (more)

Subjects/Keywords: security; cyber-insurance; risk; markets; market equilibrium; market efficiency; pricing

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APA (6th Edition):

Pal, R. (2014). Improving network security through cyber-insurance. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/514919/rec/3411

Chicago Manual of Style (16th Edition):

Pal, Ranjan. “Improving network security through cyber-insurance.” 2014. Doctoral Dissertation, University of Southern California. Accessed November 19, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/514919/rec/3411.

MLA Handbook (7th Edition):

Pal, Ranjan. “Improving network security through cyber-insurance.” 2014. Web. 19 Nov 2019.

Vancouver:

Pal R. Improving network security through cyber-insurance. [Internet] [Doctoral dissertation]. University of Southern California; 2014. [cited 2019 Nov 19]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/514919/rec/3411.

Council of Science Editors:

Pal R. Improving network security through cyber-insurance. [Doctoral Dissertation]. University of Southern California; 2014. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/514919/rec/3411


University of Southern California

11. Bang, Jae young. Proactive detection of higher-order software design conflicts.

Degree: PhD, Computer Science, 2015, University of Southern California

 A team of software architects who collaboratively evolve a software model often rely on a copy-edit-merge style version control system (VCS) via which they exchange… (more)

Subjects/Keywords: software design; collaborative software development; software design conflict; proactive conflict detection

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APA (6th Edition):

Bang, J. y. (2015). Proactive detection of higher-order software design conflicts. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/541475/rec/5231

Chicago Manual of Style (16th Edition):

Bang, Jae young. “Proactive detection of higher-order software design conflicts.” 2015. Doctoral Dissertation, University of Southern California. Accessed November 19, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/541475/rec/5231.

MLA Handbook (7th Edition):

Bang, Jae young. “Proactive detection of higher-order software design conflicts.” 2015. Web. 19 Nov 2019.

Vancouver:

Bang Jy. Proactive detection of higher-order software design conflicts. [Internet] [Doctoral dissertation]. University of Southern California; 2015. [cited 2019 Nov 19]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/541475/rec/5231.

Council of Science Editors:

Bang Jy. Proactive detection of higher-order software design conflicts. [Doctoral Dissertation]. University of Southern California; 2015. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/541475/rec/5231


University of Southern California

12. Zhao, Jing. Provenance management for dynamic, distributed and dataflow environments.

Degree: PhD, Computer Science, 2012, University of Southern California

 Provenance, the derivation history of data objects, records how, when, and by whom a piece of data was created and modified. Provenance allows users to… (more)

Subjects/Keywords: dataflow; distributed environments; provenance; provenance management; energy informatics

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APA (6th Edition):

Zhao, J. (2012). Provenance management for dynamic, distributed and dataflow environments. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/103144/rec/5299

Chicago Manual of Style (16th Edition):

Zhao, Jing. “Provenance management for dynamic, distributed and dataflow environments.” 2012. Doctoral Dissertation, University of Southern California. Accessed November 19, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/103144/rec/5299.

MLA Handbook (7th Edition):

Zhao, Jing. “Provenance management for dynamic, distributed and dataflow environments.” 2012. Web. 19 Nov 2019.

Vancouver:

Zhao J. Provenance management for dynamic, distributed and dataflow environments. [Internet] [Doctoral dissertation]. University of Southern California; 2012. [cited 2019 Nov 19]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/103144/rec/5299.

Council of Science Editors:

Zhao J. Provenance management for dynamic, distributed and dataflow environments. [Doctoral Dissertation]. University of Southern California; 2012. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/103144/rec/5299


University of Southern California

13. Nelson, Yoonju Lee. Model-guided performance tuning for application-level parameters.

Degree: PhD, Computer Science, 2009, University of Southern California

 The enormous and growing complexity of today's high-end systems has increased the already significant challenge of maximizing performance on today's equally complex scientific applications. In… (more)

Subjects/Keywords: performance tuning; empirical optimization; compiler technique

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APA (6th Edition):

Nelson, Y. L. (2009). Model-guided performance tuning for application-level parameters. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/405965/rec/4114

Chicago Manual of Style (16th Edition):

Nelson, Yoonju Lee. “Model-guided performance tuning for application-level parameters.” 2009. Doctoral Dissertation, University of Southern California. Accessed November 19, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/405965/rec/4114.

MLA Handbook (7th Edition):

Nelson, Yoonju Lee. “Model-guided performance tuning for application-level parameters.” 2009. Web. 19 Nov 2019.

Vancouver:

Nelson YL. Model-guided performance tuning for application-level parameters. [Internet] [Doctoral dissertation]. University of Southern California; 2009. [cited 2019 Nov 19]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/405965/rec/4114.

Council of Science Editors:

Nelson YL. Model-guided performance tuning for application-level parameters. [Doctoral Dissertation]. University of Southern California; 2009. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/405965/rec/4114


University of Southern California

14. Kothari, Nupur. Language abstractions and program analysis techniques to build reliable, efficient, and robust networked systems.

Degree: PhD, Computer Science, 2010, University of Southern California

 Networked systems have an important role in our lives. Ranging from the Internet to new and upcoming domains like wireless sensor networks, smart-phones and data-centers,… (more)

Subjects/Keywords: network protocols; program analysis; programming languages; wireless sensor network; symbolic execution

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APA (6th Edition):

Kothari, N. (2010). Language abstractions and program analysis techniques to build reliable, efficient, and robust networked systems. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/411062/rec/3729

Chicago Manual of Style (16th Edition):

Kothari, Nupur. “Language abstractions and program analysis techniques to build reliable, efficient, and robust networked systems.” 2010. Doctoral Dissertation, University of Southern California. Accessed November 19, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/411062/rec/3729.

MLA Handbook (7th Edition):

Kothari, Nupur. “Language abstractions and program analysis techniques to build reliable, efficient, and robust networked systems.” 2010. Web. 19 Nov 2019.

Vancouver:

Kothari N. Language abstractions and program analysis techniques to build reliable, efficient, and robust networked systems. [Internet] [Doctoral dissertation]. University of Southern California; 2010. [cited 2019 Nov 19]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/411062/rec/3729.

Council of Science Editors:

Kothari N. Language abstractions and program analysis techniques to build reliable, efficient, and robust networked systems. [Doctoral Dissertation]. University of Southern California; 2010. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/411062/rec/3729


University of Southern California

15. Chen, Chun. Model-guided empirical optimization for memory hierarchy.

Degree: PhD, Computer Science, 2007, University of Southern California

 We are facing an increasing performance gap between processor and memory speed on today's architectures. To bridge this performance gap, various architectural features, such as… (more)

Subjects/Keywords: compilers; empirical optimization; loop transformation; memory hierarchy; BLAS

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APA (6th Edition):

Chen, C. (2007). Model-guided empirical optimization for memory hierarchy. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/477131/rec/4113

Chicago Manual of Style (16th Edition):

Chen, Chun. “Model-guided empirical optimization for memory hierarchy.” 2007. Doctoral Dissertation, University of Southern California. Accessed November 19, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/477131/rec/4113.

MLA Handbook (7th Edition):

Chen, Chun. “Model-guided empirical optimization for memory hierarchy.” 2007. Web. 19 Nov 2019.

Vancouver:

Chen C. Model-guided empirical optimization for memory hierarchy. [Internet] [Doctoral dissertation]. University of Southern California; 2007. [cited 2019 Nov 19]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/477131/rec/4113.

Council of Science Editors:

Chen C. Model-guided empirical optimization for memory hierarchy. [Doctoral Dissertation]. University of Southern California; 2007. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/477131/rec/4113


University of Southern California

16. Soma, Ramakrishna. Applying semantic web technologies for information management in domains with semi-structured data.

Degree: PhD, Computer Science, 2008, University of Southern California

 The two main goals of this thesis are to demonstrate applications of semantic web applications for domains with semi-structured data and propose scalable techniques for… (more)

Subjects/Keywords: semantic web; information management

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

APA (6th Edition):

Soma, R. (2008). Applying semantic web technologies for information management in domains with semi-structured data. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/132359/rec/874

Chicago Manual of Style (16th Edition):

Soma, Ramakrishna. “Applying semantic web technologies for information management in domains with semi-structured data.” 2008. Doctoral Dissertation, University of Southern California. Accessed November 19, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/132359/rec/874.

MLA Handbook (7th Edition):

Soma, Ramakrishna. “Applying semantic web technologies for information management in domains with semi-structured data.” 2008. Web. 19 Nov 2019.

Vancouver:

Soma R. Applying semantic web technologies for information management in domains with semi-structured data. [Internet] [Doctoral dissertation]. University of Southern California; 2008. [cited 2019 Nov 19]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/132359/rec/874.

Council of Science Editors:

Soma R. Applying semantic web technologies for information management in domains with semi-structured data. [Doctoral Dissertation]. University of Southern California; 2008. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/132359/rec/874


University of Southern California

17. Baradaran, Nastaran. Compiler directed data management for configurable architectures with heterogeneous memory structures.

Degree: PhD, Computer Science, 2007, University of Southern California

 Configurable architectures offer the unique opportunity of realizing hardware designs tailored to the specific data and computational patterns of a given application code. These devices… (more)

Subjects/Keywords: compilers; memory management; design automation

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

APA (6th Edition):

Baradaran, N. (2007). Compiler directed data management for configurable architectures with heterogeneous memory structures. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/166792/rec/1523

Chicago Manual of Style (16th Edition):

Baradaran, Nastaran. “Compiler directed data management for configurable architectures with heterogeneous memory structures.” 2007. Doctoral Dissertation, University of Southern California. Accessed November 19, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/166792/rec/1523.

MLA Handbook (7th Edition):

Baradaran, Nastaran. “Compiler directed data management for configurable architectures with heterogeneous memory structures.” 2007. Web. 19 Nov 2019.

Vancouver:

Baradaran N. Compiler directed data management for configurable architectures with heterogeneous memory structures. [Internet] [Doctoral dissertation]. University of Southern California; 2007. [cited 2019 Nov 19]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/166792/rec/1523.

Council of Science Editors:

Baradaran N. Compiler directed data management for configurable architectures with heterogeneous memory structures. [Doctoral Dissertation]. University of Southern California; 2007. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/166792/rec/1523


University of Southern California

18. Scrofano, Ronald, Jr. Accelerating scientific computing applications with reconfigurable hardware.

Degree: PhD, Computer Science, 2006, University of Southern California

 With recent technological advances, it has become possible to use reconfigurable hardware to accelerate scientific computing applications. There has been a resulting development of reconfigurable… (more)

Subjects/Keywords: reconfigurable hardware; reconfigurable computers; molecular dynamics; fpga; performance modeling; arithmetic expression evaluation

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

APA (6th Edition):

Scrofano, Ronald, J. (2006). Accelerating scientific computing applications with reconfigurable hardware. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/32195/rec/469

Chicago Manual of Style (16th Edition):

Scrofano, Ronald, Jr. “Accelerating scientific computing applications with reconfigurable hardware.” 2006. Doctoral Dissertation, University of Southern California. Accessed November 19, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/32195/rec/469.

MLA Handbook (7th Edition):

Scrofano, Ronald, Jr. “Accelerating scientific computing applications with reconfigurable hardware.” 2006. Web. 19 Nov 2019.

Vancouver:

Scrofano, Ronald J. Accelerating scientific computing applications with reconfigurable hardware. [Internet] [Doctoral dissertation]. University of Southern California; 2006. [cited 2019 Nov 19]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/32195/rec/469.

Council of Science Editors:

Scrofano, Ronald J. Accelerating scientific computing applications with reconfigurable hardware. [Doctoral Dissertation]. University of Southern California; 2006. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/32195/rec/469

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