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TitleSetnameType
1 A composable static analysis framework for program analysisir_etdText
2 Algorithms and coresets for large-scale kernel smoothingir_etdText
3 Applications of machine learning, deep learning and reduced-order models in building energy simulationir_etdText
4 Data analysis and visualization using basis selection for matrix approximationir_etdText
5 Debugging with Domain-specific Events via Macrosir_etdText
6 Depth-based visualizations for ensemble data and graphsir_etdText
7 The design activity framework: investigating the data visualization design processir_etdText
8 Design and optimization of hardware accelerators for deep learningir_etdText
9 Designing efficient memory for future computing systemsir_etdText
10 Distributed friend-to-friend framework and services using social networksir_etdText
11 Distributed sensing and computing in wireless networksir_etdText
12 Efficient floating-point error testing and rigorous mixed precision tuningir_etdText
13 Efficient ray tracing architecturesir_etdText
14 Efficient summarization techniques for massive datair_etdText
15 Efficient user-level event notificationir_etdText
16 Energy-efficient design of an asynchronous network-on-chipir_etdText
17 Enhancing automatic software testing for broader applicabilityir_etdText
18 Enhancing realism and scalability in network testbedsir_etdText
19 Enhancing scalability and reliability in mobile core networksir_etdText
20 Interactive visualization and exploration of feature evolution in dynamic datair_etdText
21 Introspective pushdown analysis and neboir_etdText
22 Low overhead data race detection techniques for large openMP applicationsir_etdText
23 On Frequent Directions, A Streaming Matrix Sketching Algorithmir_etdText
24 Sublinear algorithms for massive data computations: streaming and coresetsir_etdText
25 Towards building efficient error detectors for improving system resilienceir_etdText
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