JavaScript is disabled for your browser. Some features of this site may not work without it.
Browsing Computer Science Theses and Dissertations by Title
Navigation
Display Options
Results
Now showing items 87-106 of 126
-
(University of Oregon, 2010-03)On the one hand, ontologies provide a means of formally specifying complex descriptions and relationships about information in a way that is expressive yet amenable to automated processing and reasoning. When data are ...
-
(University of Oregon, 2012)Secure function evaluation (SFE) on mobile devices, such as smartphones, allows for the creation of new privacy-preserving applications. Generating the circuits on smartphones which allow for executing customized functions, ...
-
(University of Oregon, 2019-04-30)Power consumption is widely regarded as one of the biggest challenges to reaching the next generation of high performance computing (HPC). On future supercomputers, power will be a limited resource. This constraint will ...
-
(University of Oregon, 2010-12)Streaming multimedia content over the Internet is extremely popular mainly due to emerging applications such as IPTV, YouTube and e-learning. All these applications require simultaneous streaming of multimedia content from ...
-
Performance Analysis and Modeling of Parallel Applications in the Context of Architectural Rooflines (University of Oregon, 2016-10-27)Understanding the performance of applications on modern multi- and manycore platforms is a difficult task and involves complex measurement, analysis, and modeling. The Roofline model is used to assess an application's ...
-
Performance Analysis of Proof-of-Elapsed-Time (PoET) Consensus in the Sawtooth Blockchain Framework (University of Oregon, 2019-09-18)Blockchains are distributed ledgers that use a tamper-sensitive, append-only data structure in conjunction with a consensus protocol to enable mutually distrusting parties to maintain a global set of states. A primary ...
-
(University of Oregon, 2017-05-01)With the push to exascale, in situ visualization and analysis will play an increasingly important role in high performance computing. Tightly coupling in situ visualization with simulations constrains resources for both, ...
-
(University of Oregon, 2022-10-04)Traditionally, High Performance Computing (HPC) softwarehas been built and deployed as bulk-synchronous, parallel executables based on the message-passing interface (MPI) programming model. The rise of data-oriented computing ...
-
(University of Oregon, 2012)My interest is in applying a domain model to help elicit personal requirements for the problem of community travel for people with cognitive impairments. The domain model I took advantage of is the ACT model, which is ...
-
(University of Oregon, 2011-12)The design of successful assistive technologies requires careful personalization for individual users, as well as rapid, low cost cycles for product development and testing. My research brings two modern software engineering ...
-
(University of Oregon, 2019-04-30)In intensive care units, most patients are usually in critical conditions which require physicians to make immediate diagnosis and treatments. However, not every patient could get the best treatment because it highly related ...
-
(University of Oregon, 2013-10-03)While the message-passing paradigm, seen in programming models such as MPI and UPC, has provided a solution for efficiently programming on distributed memory computer systems, this approach is not a panacea for the needs ...
-
(University of Oregon, 2018-04-10)Programmers don't just have to write programs, they are have to reason about them. Programming languages aren't just tools for instructing computers what to do, they are tools for reasoning. And, it isn't just programmers ...
-
(University of Oregon, 2024-03-25)The idea that programs are data forms the bedrock of functional programming languages, but it is also found in object-oriented languages and recent iterations of systems languages. Since passing and returning programs ...
-
(University of Oregon, 2016-11-21)Machine learning algorithms are invented to learn from data and to use data to perform predictions and analyses. Many agencies are now using machine learning algorithms to present services and to perform tasks that used ...
-
(University of Oregon, 2019-04-30)In the past few years, evaluating on adversarial examples has become a standard procedure to measure robustness of deep learning models. Literature on adversarial examples for neural nets has largely focused on image ...
-
(University of Oregon, 2022-05-10)It is desirable for general productivity that high-performance computing applications be portable to new architectures, or can be optimized for new workflows and input types, without the need for costly code interventions ...
-
(University of Oregon, 2013-10-10)Compilation encompasses many steps. Parsing turns the input program into a more manageable syntax tree. Verification ensures that the program makes some semblance of sense. Finally, code generation transforms the internal ...
-
(University of Oregon, 2021-04-27)Semantic oppositeness is the natural counterpart of the rather more popular natural language processing concept, semantic similarity. Much like how semantic similarity is a measure of the degree to which two concepts are ...
-
(University of Oregon, 2017-09-06)Truth and falsehood, questions and answers, construction and deconstruction; most things come in dual pairs. Duality is a mirror that reveals the new from the old via opposition. This idea appears pervasively in logic, ...
Now showing items 87-106 of 126