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1.
Parallel functional programming with mutable state
by Bergstrom, Lars, Ph.D.  The University of Chicago. 2013: 133 pages; 3568360.
2.
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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Performance comparison of multiprocessor programming libraries for multicore environments
by Pien, Hu Yun, M.S.  California State University, Long Beach. 2012: 68 pages; 1520921.
5.
Dissertation beyond shared memory loop parallelism in the polyhedral model
by Yuki, Tomofumi, Ph.D.  Colorado State University. 2013: 137 pages; 3565471.
6.
Preserving the appeal of transactional programming
by Dalessandro, Luke K., Ph.D.  University of Rochester. 2014: 183 pages; 3614950.
7.
Programming Abstractions, Compilation, and Execution Techniques for Massively Parallel Data Analysis
by Ewen, Stephan, Eng.D.  Technische Universitaet Berlin (Germany). 2015: 149 pages; 10698486.
8.
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.
9.
Tideflow: A dataflow-inspired execution model for high performance computing programs
by Orozco, Daniel A., Ph.D.  University of Delaware. 2012: 163 pages; 3527015.
10.
Exploration of lock-based software transactional memory
by Gottschlich, Justin, M.S.  University of Colorado at Boulder. 2007: 144 pages; 1447658.
12.
Gunrock: A Programming Model and Implementation for Graph Analytics on Graphics Processing Units
by Wang, Yangzihao, Ph.D.  University of California, Davis. 2017: 134 pages; 10251096.
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Automatically tuning collective communication for one-sided programming models
by Nishtala, Rajesh, Ph.D.  University of California, Berkeley. 2009: 176 pages; 3402682.
16.
Linear programming with the simplex algorithm: Parallelization and other optimizations
by Ankony, Robert C., M.S.C.S.  California State University, Long Beach. 2012: 88 pages; 1520889.
17.
Hardware Support for Productive Partitioned Global Address Space (PGAS) Programming
by Serres, Olivier, Ph.D.  The George Washington University. 2016: 122 pages; 3746724.
19.
Separating control from specification for parallel and distributed search algorithms
by See, Andrew G., Ph.D.  University of Connecticut. 2009: 173 pages; 3384551.
20.
Scheduling on Manycore and Heterogeneous Graphics Processors
by Tzeng, Stanley, Ph.D.  University of California, Davis. 2013: 119 pages; 3602240.
21.
Efficient primitives and algorithms for many-core architectures
by Sengupta, Shubhabrata, Ph.D.  University of California, Davis. 2010: 164 pages; 3444098.
22.
Region-based memory management for expressive GPU programming
by Holk, Eric, Ph.D.  Indiana University. 2016: 154 pages; 10132089.
23.
Enabling efficient parallel scripting on large-scale computers
by Zhang, Zhao, Ph.D.  The University of Chicago. 2014: 125 pages; 3627911.
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Hierarchical scheduling and uniform access programming frameworks for heterogeneous CPU-GPU computing clusters
by Sajjapongse, Kittisak, Ph.D.  University of Missouri - Columbia. 2015: 178 pages; 10178997.
28.
A study of a data parallel algorithm for XML DOM parsing
by Shah, Bhavik Bharatkumar, M.S.  University of Missouri - Kansas City. 2009: 50 pages; 1478718.
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Invalidating Transactions: Optimizations, Theory, Guarantees, and Unification
by Gottschlich, Justin E., Ph.D.  University of Colorado at Boulder. 2011: 163 pages; 3453718.
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