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  • Applying Deep Learning in Street View Imagery for Environmental Health Research

    Creator:
    Zhang, Yifang
    Abstract:
    Urban green space is associated with multiple physical and mental health outcomes. Several benefits of green space, such as stress reduction and attention restoration, are dependent on visual perception of green space exposures. However, traditional green space exposure measures do not capture street-level exposures. In this project, we apply deep...
    Resource Type:
    Capstone Project
    Full Text:
    : ______________________________________________________ Dr. Lizhong Chen Urban green space is associated with multiple physical and mental

  • Three-Dimensional Network-on-Chip Architectures for Cycle Accurate Full-System Simulator

    Creator:
    Agarwal, Akash
    Abstract:
    High Performance Computing can find ubiquitous applications in the industry. HPC-applications are specifically designed to take advantage of the parallel nature of the computing systems which is often enabled by Multi-core/Many-core architectures. With this advent of Multi-processors in the mainstream systems, inter-core communication has been one of the major challenges...
    Resource Type:
    Presentation and Capstone Project
    Full Text:
    . Lizhong Chen Assistant Professor EECS, Oregon State University • Moore: Number of transistors in a

  • A Distributed Scheme for Accelerating and Scaling PSPNet

    Creator:
    Krishna, Ajay
    Abstract:
    Advances in deep learning based image processing have led to their adoption for a wide range of applications, and in tow with these developments is a dramatic increase in the availability of high quality datasets. With this comes the need to accelerate and scale deep learning applications in order to...
    Resource Type:
    Masters Thesis
    Full Text:
    Accelerating and Scaling PSPNet Abstract approved: Lizhong Chen Advances in deep learning based image

  • Peak Shaving in Data Centers with Deep Reinforcement Learning

    Creator:
    Adhikari, Aashish
    Abstract:
    Data centers have seen a rapid growth in recent years as the technology industry is relying more on cloud services. In effect, data centers are paying millions of US $ in energy costs. Several strategies have been proposed to lower the total energy cost at data centers- task migration, server...
    Resource Type:
    Masters Thesis
    Full Text:
    Centers with Deep Reinforcement Learning Abstract approved: Lizhong Chen Data centers have seen a rapid

  • Predicting and Improving Throughput, Responsiveness and Battery Life of Computer Systems by Machine Learning

    Creator:
    Li, Yunfan
    Abstract:
    The Machine Learning (ML) algorithms are increasingly explored in varies of fields including designing and optimizing computer systems. Recent research, such as optimizing memory/cache prefetching by ML training or predicting traffic pattern in throughput processors, also exhibits a promising future of introducing ML into computer system design and optimization. Throughput...
    Resource Type:
    Dissertation
    Full Text:
    approved: Lizhong Chen The Machine Learning (ML) algorithms are increasingly explored in varies of

  • Optimizing Interconnection Topology using Deep Reinforcement Learning

    Creator:
    Zeng, Kai
    Abstract:
    As the number of nodes in high-performance computing (HPC) systems continues to grow, it becomes increasingly important to design scalable interconnection network topologies. Prior work has shown promise in adding random shortcuts on top of an existing topology to reduce average hop count and network diameter, but has been limited...
    Resource Type:
    Masters Thesis
    Full Text:
    Topology using Deep Reinforcement Learning Abstract approved: Lizhong Chen As the number of nodes in

  • Routerless Network-on-chip

    Creator:
    Alazemi, Fawaz
    Abstract:
    Traditional bus-based interconnects are simple and easy to implement, but the scalability is greatly limited. While router-based networks-on-chip (NoCs) offer superior scalability, they also incur significant power and area overhead due to complex router structures. In this thesis, a new class of on-chip networks, referred to as Routerless (RL) NoCs,...
    Resource Type:
    Dissertation
    Full Text:
    : Routerless Network-on-chip Abstract approved: Bella Bose Lizhong Chen Traditional bus-based interconnects

  • Empirical studies of the effects of incorporating fault exposure potential estimates into a test data adequacy criterion

    Creator:
    Chen, Wei
    Abstract:
    Researchers have hypothesized that if we could estimate the probability that a fault in a code component will a cause a failure, we could use this estimate to improve the fault-detection effectiveness of code-coverage-based testing. If this hypothesis could be supported, it would motivate further research in this area and...
    Resource Type:
    Masters Thesis
    Full Text:
    exposure potential estimates into a test data adequacy criterion AN ABSTRACT OF THE THESIS OF Wei Chen

  • Topological analysis, visualization, and design of vector fields on surfaces

    Creator:
    Chen, Guoning
    Abstract:
    Analysis, visualization, and design of vector fields on surfaces have a wide variety of major applications in both scientific visualization and computer graphics. On the one hand, analysis and visualization of vector fields provide critical insights to the flow data produced from simulation or experiments of various engineering processes. On...
    Resource Type:
    Dissertation
    Full Text:
    AN ABSTRACT OF THE THESIS OF Guoning Chen for the degree of Doctor of Philosophy in Computer Science

  • Variational Typing and Its Applications

    Creator:
    Chen, Sheng
    Abstract:
    The study of variational typing originated from the problem of type inference for variational programs, which encode numerous different but related plain programs. In this dissertation, I present a sound and complete type inference algorithm for inferring types of all plain programs encoded in variational programs. The proposed algorithm runs...
    Resource Type:
    Dissertation
    Full Text:
    ABSTRACT OF THE DISSERTATION OF Sheng Chen for the degree of Doctor of Philosophy in Computer Science