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Author | Title | Subject | Date | Publication Type |
1 |
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Aananthakrishnan, Sriram | A composable static analysis framework for program analysis | Computer science; applied sciences; compositional analysis | 2016 | dissertation |
2 |
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Kumar, Sidharth | A scalable and tunable adaptive resolution parallel i/o framework | File system; HPC; Parallel I/O | 2016 | dissertation |
3 |
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Muralidharan, Saurav | Abstractions and strategies for adaptive programming | adaptive programming; architecture-adaptive; autotuning; input-adaptive; multiobjective; nested data parallelism | 2016 | dissertation |
4 |
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Qadir, Ashequl | Acquiring knowledge for affective state recognition in social media | Affective Polarity; Emotion Hashtag; Implicit Property; Natural Language Processing; Simile; Social Media | 2016 | dissertation |
5 |
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Venkat, Anand | An integrated compiler and runtime framework for sparse matrix codes | Compilers; computer architecture; sparse matrix codes | 2016 | dissertation |
6 |
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Zhang, Miaomiao | Bayesian models on manifolds for image registration and statistical shape analysis | Bayesian; Diffeomorphisms; Image registration; Manifolds; Statistical shape analysis | 2016 | dissertation |
7 |
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Abdullah, Amirali | Bounds for nearest neighbor algorithms and embeddings | Algorithms; Approximation; Bregman divergences; Data structures; Lower bounds | 2016 | dissertation |
8 |
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Basu, Protonu | Compiler optimizations and autotuning for stencils and geometric multigrid | Autotuning; Code Generation; Compilers; Geometric Multigrid; Parallel Programming; Stencil Compuations | 2016 | dissertation |
9 |
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Duhadway, Linda P. | Course transformation: content, structure and effectiveness analysis | Computer Science Education; Graphical Course Mapping; Interactive Learning Environments; Personalized Learning | 2016 | dissertation |
10 |
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Shanmugam, Praveen kumar | Deidtect - distributed elastic intrusion detection architecture | Cloud; Distributed Networking; Networking; Orchestration; SDN | 2016 | thesis |
11 |
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Chiang, Wei-fan | Efficient floating-point error testing and rigorous mixed precision tuning | floating-point error testing; mixed-precision tuning; optimization; Computer science | 2016 | dissertation |
12 |
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Shevgoor, Manjunath | Enabling big memory with emerging technologies | computer architecture; DRAM; memory; Computer Engineering | 2016 | dissertation |
13 |
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Kim, Mark | Gpu-enabled surface visualization | Applied sciences; GPU; Visualizing surfaces | 2016 | dissertation |
14 |
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Liu, Ting | Image segmentation with hierarchical models | Connectomics; Electron microscopy; Hierarchical models; Image segmentation; Machine learning; Semi-supervised learning | 2016 | dissertation |
15 |
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Grosset, Pascal | Investigating depth of field in volume rendering and distributed volume rendering on high performance computing systems | Depth of Field; Distrubuted Volume Rendering; HPC; Image Compositing; Perception | 2016 | dissertation |
16 |
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Landge, Aaditya G | Large-scale in-situ topological analysis using segmented merge trees: performance, scalability, and power efficiency | In-situ analysis techniques; Merge tree computation techniques | 2016 | thesis |
17 |
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Jacobsen, Charles | Lightweight capability domains: toward decomposing the linux kernel | Applied sciences | 2016 | thesis |
18 |
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Haran, Arvind | Program analyses for resilient and approximate computation | approximate computing; dynamic analysis; fault tolerance; HPC; resilience; static analysis | 2016 | thesis |
19 |
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Kopta, Daniel | Ray tracing from a data movement perspective | Computer Architecture; Ray Tracing | 2016 | dissertation |
20 |
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Guinan, Ashley Lara | Skin stretch feedback to guide hand motions | haptic perception; haptics; human computer interaction; human device interaction; human interaction; robotic feedback | 2016 | dissertation |
21 |
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Shen, Yang | Soft Shadow Mip-Maps | mip-maps; real-time; shadow algorithms; shadow mapping; soft shadows | 2016 | thesis |
22 |
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Datar, Manasi prakash | Statistical analysis of ensembles of nonregular shapes | computational anatomy; correspondence models; ensemble statistics; longitudinal shape analysis; non-parametric models; shape regression | 2016 | dissertation |
23 |
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Yu, Yen-yun | Statistical learning: generative model for dimensionality reduction, clustering, and shape analysis | clustering; dimensionality reduction; generative model; semisupervised learning; shape analysis; statistical learning | 2016 | dissertation |
24 |
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Veni, Gopalkrishna | Surface-based image segmentation using application-specific priors | Atrial fibrillation; Bayesian modelling; Geometric graph; Graph cuts; Image segmentation; Mesh generation; Computer Engineering; Medical imaging | 2016 | dissertation |
25 |
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Joshi, Anshul | WPCA: the wreath product cognitive architecture | Cognitive Architecture; Cognitive Robotics; Computer Vision; Generative Representation; Symmetry Analysis; Wreath Product | 2016 | dissertation |