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1.
Scheduling on Manycore and Heterogeneous Graphics Processors
by Tzeng, Stanley, Ph.D.  University of California, Davis. 2013: 119 pages; 3602240.
2.
Effective scheduling techniques for high-level parallel programming languages
by Rainey, Michael Alan, Ph.D.  The University of Chicago. 2010: 143 pages; 3419774.
4.
Parallel computing with P2P desktop grids
by Jackson, Gary Lee, II, Ph.D.  University of Maryland, College Park. 2015: 139 pages; 3711637.
5.
LTE Downlink Scheduling Algorithms
by Sarepalli, Sindhura, M.S.  University of Louisiana at Lafayette. 2016: 92 pages; 10163293.
6.
Tideflow: A dataflow-inspired execution model for high performance computing programs
by Orozco, Daniel A., Ph.D.  University of Delaware. 2012: 163 pages; 3527015.
7.
Out-of-order Parallel Discrete Event Simulation for Electronic System-Level Design
by Chen, Weiwei, Ph.D.  University of California, Irvine. 2013: 194 pages; 3597427.
8.
9.
Presolving techniques and linear relaxations for cumulative scheduling
by Heinz, Stefan, Ph.D.  Technische Universitaet Berlin (Germany). 2018: 10950529.
10.
Architectural support for efficient on-chip parallel execution
by Brown, Jeffery Alan, Ph.D.  University of California, San Diego. 2010: 159 pages; 3402089.
11.
Black box methods for inferring parallel applications' properties in virtual environments
by Gupta, Ashish, Ph.D.  Northwestern University. 2008: 289 pages; 3303812.
12.
Search-based optimization for compiler machine-code generation
by Clauson, Aran, Ph.D.  University of Oregon. 2013: 121 pages; 3600071.
13.
Enabling efficient parallel scripting on large-scale computers
by Zhang, Zhao, Ph.D.  The University of Chicago. 2014: 125 pages; 3627911.
14.
Three approaches to scheduling semiconductor manufacturing operations
by Ham, Myoungsoo, Ph.D.  Arizona State University. 2008: 76 pages; 3339594.
15.
Adaptive Grid Computing
by Zhang, Juemin, Ph.D.  Northeastern University. 2010: 178 pages; 3443847.
16.
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.
17.
Robust Execution Strategy for Scheduling under Uncertainty
by Fu, Na, Ph.D.  Singapore Management University (Singapore). 2012: 122 pages; 3523785.
18.
Application hardware-software co-design for reconfigurable computing systems
by Saha, Proshanta, Ph.D.  The George Washington University. 2008: 151 pages; 3297468.
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.
Parallel functional programming with mutable state
by Bergstrom, Lars, Ph.D.  The University of Chicago. 2013: 133 pages; 3568360.
21.
Resource Allocation and Scheduling in Heterogeneous Cloud Environments
by Lee, Gunho, Ph.D.  University of California, Berkeley. 2012: 111 pages; 3527037.
22.
The multiprocessor real -time scheduling of general task systems
by Fisher, Nathan Wayne, Ph.D.  The University of North Carolina at Chapel Hill. 2007: 254 pages; 3272810.
23.
A framework for scheduling algorithms in manufacturing environment
by Martorano, Eduardo de Aquino, M.S.  California State University, Long Beach. 2010: 93 pages; 1493036.
25.
Performance enhancement of a multiprecision multiplier by a dynamic voltage scaling and multiprecision operands scheduling
by Bugata Venkata Phani Srirama, Kalyan Chakravarthy, M.S.  California State University, Long Beach. 2016: 38 pages; 10111181.
26.
Light-Weight Virtualization Driven Runtimes for Big Data Applications
by Chen, Wei, Ph.D.  University of Colorado Colorado Springs. 2019: 194 pages; 13862451.
27.
Dissertation beyond shared memory loop parallelism in the polyhedral model
by Yuki, Tomofumi, Ph.D.  Colorado State University. 2013: 137 pages; 3565471.
28.
Invalidating Transactions: Optimizations, Theory, Guarantees, and Unification
by Gottschlich, Justin E., Ph.D.  University of Colorado at Boulder. 2011: 163 pages; 3453718.
29.
Computational Models for Scheduling in Online Advertising
by Arkhipov, Dmitri I., Ph.D.  University of California, Irvine. 2016: 117 pages; 10168557.
30.
A Model Predictive Control Approach to Economic Scheduling for a Building Microgrid
by Sanchez, Edward, M.S.  California State University, Long Beach. 2018: 106 pages; 10784182.
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