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1.
Optimization of Heterogeneous NoC for Fused CPU-GPU Architecture
by Alhubail, Lulwah, Ph.D.  University of California, Irvine. 2019: 127 pages; 13886231.
2.
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.
3.
Heterogeneity and Density Aware Design of Computing Systems
by Arora, Manish, Ph.D.  University of California, San Diego. 2018: 137 pages; 10788835.
4.
Parallelization of lane detection algorithm using OpenCL
by Kalay, Harshal A., M.S.  California State University, Long Beach. 2015: 106 pages; 1603755.
5.
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.
6.
Depth map enhancement for real-time 3D reconstruction
by Lee, Kitae, M.S.  Illinois Institute of Technology. 2015: 49 pages; 1603506.
7.
Integrating Accelerators in Heterogeneous Systems
by Vesely, Jan, Ph.D.  Rutgers The State University of New Jersey, School of Graduate Studies. 2021: 137 pages; 28263785.
8.
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.
9.
Deterministic Scheduling of Real-Time Tasks on Heterogeneous Multicore Platforms
by Ali, Waqar, Ph.D.  University of Kansas. 2020: 144 pages; 28262802.
10.
GPU-Assisted Cryptography of Log-Structured Indices
by Kirby, Michael Warren, M.S.  University of Colorado at Boulder. 2012: 71 pages; 1511983.
11.
Multiscale Modeling of Fused Filament Fabricated Specimens
by Nasirov, Aslan, M.S.  Tennessee Technological University. 2019: 164 pages; 27547757.
12.
Region-based memory management for expressive GPU programming
by Holk, Eric, Ph.D.  Indiana University. 2016: 154 pages; 10132089.
13.
Fused Lasso and Tensor Covariance Learning with Robust Estimation
by Kunz, Matthew Ross, Ph.D.  The Florida State University. 2018: 82 pages; 10973227.
15.
Proposed build guidelines for use in fused deposition modeling to reduce build time and material volume
by Teitelbaum, Gregory Allen, M.S.  University of Maryland, College Park. 2009: 105 pages; 1465550.
17.
The Hybrid Task Graph Scheduler
by Blattner, Timothy, Ph.D.  University of Maryland, Baltimore County. 2016: 152 pages; 10245475.
20.
Designing and Optimizing a GPU-Based In-Memory Key-Value System
by Patel, Shalin, M.E.  University of Connecticut. 2020: 72 pages; 28149842.
21.
Scheduling on Manycore and Heterogeneous Graphics Processors
by Tzeng, Stanley, Ph.D.  University of California, Davis. 2013: 119 pages; 3602240.
22.
Enabling increased complexity for realistic image synthesis
by Budge, Brian Christopher, Ph.D.  University of California, Davis. 2009: 136 pages; 3396900.
23.
Nonlinear femtosecond near infrared laser structuring in oxide glasses
by Royon, Arnaud, Ph.D.  University of Central Florida. 2009: 173 pages; 3357881.
24.
Multi-GPU Graph Processing
by Pan, Yuechao, Ph.D.  University of California, Davis. 2019: 136 pages; 13809782.
25.
Fusion for Object Detection
by Wei, Pan, Ph.D.  Mississippi State University. 2018: 169 pages; 10826517.
26.
Characterization of De Novo Aggregation of Prions and Protein Misfolding Disease Proteins In Yeast
by Arslan, Fatih, Ph.D.  University of Illinois at Chicago. 2014: 276 pages; 3688425.
28.
Analytical and experimental studies of thermoelectric devices and materials
by Barry, Matthew M., Ph.D.  University of Pittsburgh. 2016: 191 pages; 10183683.
29.
Discovery of Latent Factors in High-dimensional Data Using Tensor Methods
by Huang, Furong, Ph.D.  University of California, Irvine. 2016: 261 pages; 10125323.
30.
Topics in statistical learning
by Hofling, Holger, Ph.D.  Stanford University. 2009: 132 pages; 3364502.
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