Theses & Dissertations
 
Filters: Department: "Computing" Publication Type: "dissertation" Subject: "Computer science"
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TitleDateType
1 A composable static analysis framework for program analysis2016Text
2 Algorithms and coresets for large-scale kernel smoothing2017Text
3 Data analysis and visualization using basis selection for matrix approximation2017Text
4 Debugging with Domain-specific Events via Macros2017Text
5 Depth-based visualizations for ensemble data and graphs2018Text
6 The design activity framework: investigating the data visualization design process2017Text
7 Design and optimization of hardware accelerators for deep learning2018Text
8 Designing efficient memory for future computing systems2012-05Text
9 Distributed friend-to-friend framework and services using social networks2012-12Text
10 Distributed sensing and computing in wireless networks2017Text
11 Efficient floating-point error testing and rigorous mixed precision tuning2016Text
12 Efficient ray tracing architectures2015-05Text
13 Efficient summarization techniques for massive data2013-12Text
14 Efficient user-level event notification2013-08Text
15 Energy-efficient design of an asynchronous network-on-chip2011-08Text
16 Enhancing automatic software testing for broader applicability2018Text
17 Enhancing realism and scalability in network testbeds2010Text
18 Enhancing scalability and reliability in mobile core networks2018Text
19 Interactive visualization and exploration of feature evolution in dynamic data2017Text
20 Introspective pushdown analysis and nebo2014-05Text
21 Low overhead data race detection techniques for large openMP applications2017Text
22 On Frequent Directions, A Streaming Matrix Sketching Algorithm2017Text
23 Sublinear algorithms for massive data computations: streaming and coresets2018Text
24 Towards building efficient error detectors for improving system resilience2017Text
25 Visual exploration of high-dimensional spaces through identification, summarization, and interpretation of two-dimensional projections2017Text
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