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You searched for +publisher:"University of Southern California" +contributor:("Lucas, Robert F."). Showing records 1 – 4 of 4 total matches.

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University of Southern California

1. Dursun, Hikmet. Performance optimization of scientific applications on emerging architectures.

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

 The shift to many-core architecture design paradigm in computer market has provided unprecedented computational capabilities. This also marks the end of the free-ride era – scientific… (more)

Subjects/Keywords: Stencil computations; hierarchical cache optimizations; molecular dynamics; density functional theory optimization; parallel computing; performance optimization

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

APA (6th Edition):

Dursun, H. (2012). Performance optimization of scientific applications on emerging architectures. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/15898/rec/4987

Chicago Manual of Style (16th Edition):

Dursun, Hikmet. “Performance optimization of scientific applications on emerging architectures.” 2012. Doctoral Dissertation, University of Southern California. Accessed November 20, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/15898/rec/4987.

MLA Handbook (7th Edition):

Dursun, Hikmet. “Performance optimization of scientific applications on emerging architectures.” 2012. Web. 20 Nov 2019.

Vancouver:

Dursun H. Performance optimization of scientific applications on emerging architectures. [Internet] [Doctoral dissertation]. University of Southern California; 2012. [cited 2019 Nov 20]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/15898/rec/4987.

Council of Science Editors:

Dursun H. Performance optimization of scientific applications on emerging architectures. [Doctoral Dissertation]. University of Southern California; 2012. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/15898/rec/4987


University of Southern California

2. Kunaseth, Manaschai. Metascalable hybrid message-passing and multithreading algorithms for n-tuple computation.

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

 The emergence of the multicore era has granted unprecedented computing capabilities. Extensively available multicore clusters have influenced hybrid message-passing and multithreading parallel algorithms to become… (more)

Subjects/Keywords: n-tuple computation; algorithm; performance modeling; high performance computing; scientific computing; molecular dynamics

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APA (6th Edition):

Kunaseth, M. (2013). Metascalable hybrid message-passing and multithreading algorithms for n-tuple computation. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/309586/rec/4051

Chicago Manual of Style (16th Edition):

Kunaseth, Manaschai. “Metascalable hybrid message-passing and multithreading algorithms for n-tuple computation.” 2013. Doctoral Dissertation, University of Southern California. Accessed November 20, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/309586/rec/4051.

MLA Handbook (7th Edition):

Kunaseth, Manaschai. “Metascalable hybrid message-passing and multithreading algorithms for n-tuple computation.” 2013. Web. 20 Nov 2019.

Vancouver:

Kunaseth M. Metascalable hybrid message-passing and multithreading algorithms for n-tuple computation. [Internet] [Doctoral dissertation]. University of Southern California; 2013. [cited 2019 Nov 20]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/309586/rec/4051.

Council of Science Editors:

Kunaseth M. Metascalable hybrid message-passing and multithreading algorithms for n-tuple computation. [Doctoral Dissertation]. University of Southern California; 2013. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/309586/rec/4051


University of Southern California

3. Amer, Muhammad Ali. Policy based data placement in distributed systems.

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

 Scientific domains are increasingly adopting workflow systems to automate and manage large distributed applications. Workflow Management Systems (WMS) manage overall scheduling and monitoring of both… (more)

Subjects/Keywords: policy; distributed systems; data management; synthetic workflows; scientific workflows

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

APA (6th Edition):

Amer, M. A. (2012). Policy based data placement in distributed systems. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/118632/rec/5098

Chicago Manual of Style (16th Edition):

Amer, Muhammad Ali. “Policy based data placement in distributed systems.” 2012. Doctoral Dissertation, University of Southern California. Accessed November 20, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/118632/rec/5098.

MLA Handbook (7th Edition):

Amer, Muhammad Ali. “Policy based data placement in distributed systems.” 2012. Web. 20 Nov 2019.

Vancouver:

Amer MA. Policy based data placement in distributed systems. [Internet] [Doctoral dissertation]. University of Southern California; 2012. [cited 2019 Nov 20]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/118632/rec/5098.

Council of Science Editors:

Amer MA. Policy based data placement in distributed systems. [Doctoral Dissertation]. University of Southern California; 2012. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/118632/rec/5098


University of Southern California

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

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 20, 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. 20 Nov 2019.

Vancouver:

Nelson YL. Model-guided performance tuning for application-level parameters. [Internet] [Doctoral dissertation]. University of Southern California; 2009. [cited 2019 Nov 20]. 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

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