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1.
Tideflow: A dataflow-inspired execution model for high performance computing programs
by Orozco, Daniel A., Ph.D.  University of Delaware. 2012: 163 pages; 3527015.
4.
Black box methods for inferring parallel applications' properties in virtual environments
by Gupta, Ashish, Ph.D.  Northwestern University. 2008: 289 pages; 3303812.
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A Vector Parallel Branch and Bound Algorithm
by Guilbeau, Jared T., Ph.D.  University of Louisiana at Lafayette. 2016: 100 pages; 10242153.
8.
Dissertation beyond shared memory loop parallelism in the polyhedral model
by Yuki, Tomofumi, Ph.D.  Colorado State University. 2013: 137 pages; 3565471.
9.
Programming Abstractions, Compilation, and Execution Techniques for Massively Parallel Data Analysis
by Ewen, Stephan, Eng.D.  Technische Universitaet Berlin (Germany). 2015: 149 pages; 10698486.
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Parallel functional programming with mutable state
by Bergstrom, Lars, Ph.D.  The University of Chicago. 2013: 133 pages; 3568360.
19.
Invalidating Transactions: Optimizations, Theory, Guarantees, and Unification
by Gottschlich, Justin E., Ph.D.  University of Colorado at Boulder. 2011: 163 pages; 3453718.
20.
Effective scheduling techniques for high-level parallel programming languages
by Rainey, Michael Alan, Ph.D.  The University of Chicago. 2010: 143 pages; 3419774.
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Deterministic Parallelization of Object-Oriented Code Through Out-of-Order Execution
by Jenista, James C., Ph.D.  University of California, Irvine. 2012: 291 pages; 3523925.
25.
Enabling efficient parallel scripting on large-scale computers
by Zhang, Zhao, Ph.D.  The University of Chicago. 2014: 125 pages; 3627911.
27.
Scheduling on Manycore and Heterogeneous Graphics Processors
by Tzeng, Stanley, Ph.D.  University of California, Davis. 2013: 119 pages; 3602240.
30.
Rate Types for Stream Programs
by Bartenstein, Thomas W., Ph.D.  State University of New York at Binghamton. 2017: 255 pages; 10643063.
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