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1.
Parallel computing with P2P desktop grids
by Jackson, Gary Lee, II, Ph.D.  University of Maryland, College Park. 2015: 139 pages; 3711637.
2.
Tideflow: A dataflow-inspired execution model for high performance computing programs
by Orozco, Daniel A., Ph.D.  University of Delaware. 2012: 163 pages; 3527015.
3.
Coded Computing Systems Decoded: Dealing with Unreliability and Elasticity in Modern Computing
by Yang, Yaoqing, Ph.D.  Carnegie Mellon University. 2019: 271 pages; 13884004.
4.
Enabling urgent computing within the existing distributed computing infrastructure
by Trebon, Nicholas, Ph.D.  The University of Chicago. 2011: 135 pages; 3472964.
5.
Black box methods for inferring parallel applications' properties in virtual environments
by Gupta, Ashish, Ph.D.  Northwestern University. 2008: 289 pages; 3303812.
6.
Adaptive Grid Computing
by Zhang, Juemin, Ph.D.  Northeastern University. 2010: 178 pages; 3443847.
7.
Exploration of lock-based software transactional memory
by Gottschlich, Justin, M.S.  University of Colorado at Boulder. 2007: 144 pages; 1447658.
8.
Using Spammers' Computing Resources for Volunteer Computing
by Bui, Thai Le Quy, M.S.  Portland State University. 2014: 90 pages; 1553892.
9.
Efficient Fault-Tolerant Infrastructure for Cloud Computing
by Su, Xueyuan, Ph.D.  Yale University. 2013: 197 pages; 3578459.
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Separating control from specification for parallel and distributed search algorithms
by See, Andrew G., Ph.D.  University of Connecticut. 2009: 173 pages; 3384551.
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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.
14.
Scheduling on Manycore and Heterogeneous Graphics Processors
by Tzeng, Stanley, Ph.D.  University of California, Davis. 2013: 119 pages; 3602240.
15.
Parallel Junction Tree Algorithm on GPU
by Zheng, Lu, Ph.D.  Carnegie Mellon University. 2013: 94 pages; 3575068.
17.
Enabling efficient parallel scripting on large-scale computers
by Zhang, Zhao, Ph.D.  The University of Chicago. 2014: 125 pages; 3627911.
19.
Opportunities for near data computing in MapReduce workloads
by Pugsley, Seth Hintze, Ph.D.  The University of Utah. 2015: 98 pages; 3704952.
20.
Parallel high-precision orbit propagation using the modified Picard-Chebyshev method
by Koblick, Darin C., M.S.  California State University, Long Beach. 2012: 93 pages; 1521628.
21.
.NET High Performance Computing
by Ou, Hsuan-Hsiu, M.S.  Arkansas State University. 2012: 128 pages; 1516485.
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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.
24.
Reliable computing at the nanoscale
by Rachlin, Eric, Ph.D.  Brown University. 2010: 253 pages; 3430210.
26.
Design and Analysis of Efficient Parallel Bayesian Model Comparison Algorithms
by Henderson, Robert Wesley, Ph.D.  The University of Mississippi. 2019: 130 pages; 13878635.
28.
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.
29.
Parallel functional programming with mutable state
by Bergstrom, Lars, Ph.D.  The University of Chicago. 2013: 133 pages; 3568360.
30.
Inter-job Optimization in High Performance Computing
by Savoie, Lee Hilton, Ph.D.  The University of Arizona. 2019: 111 pages; 22617929.
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