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1.
Opportunities for near data computing in MapReduce workloads
by Pugsley, Seth Hintze, Ph.D.  The University of Utah. 2015: 98 pages; 3704952.
2.
Using Spammers' Computing Resources for Volunteer Computing
by Bui, Thai Le Quy, M.S.  Portland State University. 2014: 90 pages; 1553892.
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.
An Approach for Designing Secure and High Performance Cloud Systems
by Gai, Keke, Ph.D.  Pace University. 2017: 221 pages; 10635446.
6.
Hardware Acceleration to Address the Costs of Data Movement
by Valavi, Hossein, Ph.D.  Princeton University. 2020: 254 pages; 27548046.
8.
Building Scalable Architectures Using Emerging Memory Technologies
by Korgaonkar, Kunal Kishore, Ph.D.  University of California, San Diego. 2019: 121 pages; 13882185.
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.
Anonymous routing for privacy-preserving distributed computing
by Xiaolu, Zhu, M.S.  National University of Singapore (Singapore). 2015: 62 pages; 10006135.
11.
Auxiliary Roles in STT-MRAM Memory
by Das, Jayita, Ph.D.  University of South Florida. 2014: 122 pages; 3666526.
12.
A synthesized definition and analysis of computer ethics
by Hall, Brian Richard, D.Sc.  Robert Morris University. 2014: 332 pages; 3622702.
15.
Effective Checkpointing for Networked Multicore Systems and Cloud Computing
by Jangjaimon, Itthichok, Ph.D.  University of Louisiana at Lafayette. 2013: 114 pages; 3615289.
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18.
An Examination of Small Businesses' Propensity to Adopt Cloud-Computing Innovation
by Powelson, Steven E., D.B.A.  Walden University. 2012: 235 pages; 3502302.
20.
Architectures for secure cloud computing servers
by Szefer, Jakub M., Ph.D.  Princeton University. 2013: 355 pages; 3597568.
21.
Reconfigurable computing: Power consumption optimization in embedded systems
by Varadarajan, Srihari, M.S.  California State University, Long Beach. 2014: 78 pages; 1569997.
22.
An efficient approach to machine learning based text classification through distributed computing
by Immaneni, Raghu Nandan, M.S.  California State University, Long Beach. 2015: 86 pages; 1603338.
23.
Hybrid cloud: Joining the grid and cloud computing networks
by Reddy, Jyothi Kiran, M.S.  California State University, Long Beach. 2011: 59 pages; 1504527.
24.
Ultra reliable computing systems
by Lee, Chong Ho, Ph.D.  Portland State University. 2007: 224 pages; 3294668.
25.
Motivating Introductory Computing Students with Pedagogical Datasets
by Bart, Austin Cory, Ph.D.  Virginia Polytechnic Institute and State University. 2017: 143 pages; 10647311.
26.
Interactions between Auditory Spatial Attention and Features Retained in Memory
by Anderson, Maxwell T., Ph.D.  Tulane University School of Science and Engineering. 2018: 147 pages; 10935533.
27.
Adaptive Grid Computing
by Zhang, Juemin, Ph.D.  Northeastern University. 2010: 178 pages; 3443847.
28.
Improving Scalability of Parallel Unstructured Mesh-Based Adaptive Workflows
by Smith, Cameron Walter, Ph.D.  Rensselaer Polytechnic Institute. 2017: 124 pages; 10269567.
30.
Application hardware-software co-design for reconfigurable computing systems
by Saha, Proshanta, Ph.D.  The George Washington University. 2008: 151 pages; 3297468.
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