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  • On P2P Networks and P2P-Based Content Discovery on the Internet 
    Memon, Ghulam (University of Oregon, 2014-06-17)
    The Internet has evolved into a medium centered around content: people watch videos on YouTube, share their pictures via Flickr, and use Facebook to keep in touch with their friends. Yet, the only globally deployed service ...
  • On the Multi-Fractal Nature of Observed IP Addresses in Measured Internet Traffic 
    OConnor, Walton (University of Oregon, 2023-07-06)
    We examine the presence of multifractal properties in the spatial structure of observed IPv4 addresses in measured Internet traffic. A collection of traffic samples from a variety of network settings are assembled and their ...
  • On the Performance of Line Integral Convolution in a Distributed-Memory Parallel Setting 
    Morrison, Garrett (University of Oregon, 2018-09-06)
    Line integral convolution (LIC) is a powerful tool for visualizing vector fields by combining particle advection with image convolution. Practical usage of LIC is limited by its computational expense, requiring many ...
  • Ontology databases 
    Le Pendu, Paea Jean-Francois, 1974- (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 ...
  • Optimizing Secure Function Evaluation on Mobile Devices 
    Mood, Benjamin (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, ...
  • Optimizing Visualization Performance on Power-Constrained Supercomputers 
    Labasan, Stephanie (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 ...
  • Peer-to-peer streaming: Design and challenges 
    Magharei, Nazanin, 1979- (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 
    Shaila, Nashid (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 
    Corso, Amie (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 ...
  • Performance Modeling of In Situ Rendering 
    Larsen, Matthew (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, ...
  • Performance Observability and Monitoring of High Performance Computing with Microservices 
    Ramesh, Srinivasan (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 ...
  • Personalized Requirements Elicitation Using a Domain Model 
    Arab Yar Mohammadi, Mahshid (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 ...
  • A Personalized Virtual Environment as a Testbed for Assistive Technologies 
    Yao, Xiangkui (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 ...
  • Prediction of ICD-9 Code Assignment Using Attention-Based Convolutional Neural Networks 
    Zhang, Yehui (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 ...
  • PRESTO: A Parallel Runtime Environment for Scalable Task-Oriented Computations 
    Ozog, David (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 ...
  • Properties of Sequent-Calculus-Based Languages 
    Johnson-Freyd, Philip (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 ...
  • Reflections of Closures 
    Sullivan, Zachary (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 ...
  • Robust Large Margin Approaches for Machine Learning in Adversarial Settings 
    Torkamani, MohamadAli (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 ...
  • Robustness of Neural Networks for Discrete Input: An Adversarial Perspective 
    Ebrahimi, Javid (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 ...
  • Scalable Observation, Analysis, and Tuning for Parallel Portability in HPC 
    Wood, Chad (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 ...

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