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1.
Heterogeneity and Density Aware Design of Computing Systems
by Arora, Manish, Ph.D.  University of California, San Diego. 2018: 137 pages; 10788835.
2.
Application hardware-software co-design for reconfigurable computing systems
by Saha, Proshanta, Ph.D.  The George Washington University. 2008: 151 pages; 3297468.
3.
Scheduling on Manycore and Heterogeneous Graphics Processors
by Tzeng, Stanley, Ph.D.  University of California, Davis. 2013: 119 pages; 3602240.
4.
Heterogeneous construction of spatial data structures
by Butts, Robert O., M.S.  University of Colorado at Denver. 2015: 65 pages; 1588178.
6.
A Smart Design Framework for a Novel Reconfigurable Multi-Processor Systems-on-Chip (ASREM) Architecture
by Dutta, Anandi, Ph.D.  University of Louisiana at Lafayette. 2016: 127 pages; 10163349.
7.
Essays in policy analysis: Strategic trade theory and the elimination of agricultural subsidies
by Luckstead, Jeffrey Allen, Ph.D.  Washington State University. 2013: 134 pages; 3587136.
8.
Optimization of Heterogeneous NoC for Fused CPU-GPU Architecture
by Alhubail, Lulwah, Ph.D.  University of California, Irvine. 2019: 127 pages; 13886231.
9.
Design and architecture of automatically-generated energy-reducing coprocessors
by Sampson, John Morgan, Ph.D.  University of California, San Diego. 2010: 119 pages; 3422889.
10.
Comparative Analysis of Space-Grade Processors
by Lovelly, Tyler Michael, Ph.D.  University of Florida. 2017: 85 pages; 13847472.
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Robust Resource Allocation of Independent Tasks in Heterogeneous Computing Systems via Probabilistic Task Pruning
by Gentry, James A. S., M.S.  University of Louisiana at Lafayette. 2018: 88 pages; 10843501.
13.
Computation and Communication Optimization in Many-Core Heterogeneous Server-on-Chip
by Reza, Md Farhadur, Ph.D.  University of Louisiana at Lafayette. 2017: 154 pages; 10687409.
14.
Real-time solid voxelization using multi-core pipelining
by Liao, Duoduo, Ph.D.  The George Washington University. 2009: 191 pages; 3344878.
15.
Optimizing Network-on-Chip Designs for Heterogeneous Many-Core Architectures
by Le, Tung Thanh, Ph.D.  University of Louisiana at Lafayette. 2018: 97 pages; 10981900.
16.
Modeling and design of high-performance and power-efficient 3D dram architectures
by Chen, Ke, Ph.D.  University of Notre Dame. 2013: 151 pages; 3732210.
17.
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.
18.
Resource Allocation and Scheduling in Heterogeneous Cloud Environments
by Lee, Gunho, Ph.D.  University of California, Berkeley. 2012: 111 pages; 3527037.
19.
Topics in communication avoiding algorithms and stability analysis
by Lowery, Bradley R., Ph.D.  University of Colorado at Denver. 2014: 136 pages; 3621837.
20.
Parallelization of Entity-Based Models in Computational Social Science: A Hardware Perspective
by Brearcliffe, Dale K., M.A.I.S.  George Mason University. 2017: 77 pages; 10684969.
21.
Abstractions and algorithms for control of extensible and heterogeneous virtualized network infrastructures
by Wiseman, Charles Gordon, Ph.D.  Washington University in St. Louis. 2010: 205 pages; 3412319.
22.
Toward a Hardware Accelerated Future
by Lyons, Michael John, Ph.D.  Harvard University. 2013: 162 pages; 3600206.
23.
Tideflow: A dataflow-inspired execution model for high performance computing programs
by Orozco, Daniel A., Ph.D.  University of Delaware. 2012: 163 pages; 3527015.
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26.
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.
27.
Scheduling and locking in multiprocessor real-time operating systems
by Brandenburg, Bjorn B., Ph.D.  The University of North Carolina at Chapel Hill. 2011: 614 pages; 3502550.
28.
Adaptive Grid Computing
by Zhang, Juemin, Ph.D.  Northeastern University. 2010: 178 pages; 3443847.
29.
Separating control from specification for parallel and distributed search algorithms
by See, Andrew G., Ph.D.  University of Connecticut. 2009: 173 pages; 3384551.
30.
Light-Weight Virtualization Driven Runtimes for Big Data Applications
by Chen, Wei, Ph.D.  University of Colorado Colorado Springs. 2019: 194 pages; 13862451.
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