Search Constraints

Start Over
Filtering by: Creator Ohm, Robin A. Remove constraint Creator: Ohm, Robin A. Committee Member Lee, Ben Remove constraint Committee Member: Lee, Ben

Search Results

  • Optimization of interactive live free viewpoint multiview video streaming bandwidth

    Creator:
    Kramer, Richard A.
    Abstract:
    There are generally two types of multiview video:(1) 3D Multiview Video (“3D MVV” also called “2D plus delta” or “stereo” multi-view video): 3D MVV is widely deployed in cinemas and in the TV industry. 3D MVV typically entails capturing video of an object using two cameras with differing view angles...
    Resource Type:
    Masters Thesis
    Full Text:
    AN ABSTRACT OF THE THESIS OF Richard A. Kramer

  • Methods to improve the reliability and resiliency of near/sub-threshold digital circuits

    Creator:
    Crop, Joseph A.
    Abstract:
    Energy consumption is one of the primary bottlenecks to both large and small scale modern compute platforms. Reducing the operating voltage of digital circuits to voltages where the supply voltage is near or below the threshold of the transistors has recently gained attention as a method to reduce the energy...
    Resource Type:
    Dissertation
    Full Text:
    Near/Sub-Threshold Digital Circuits AN ABSTRACT OF THE DISSERTATION OF Joseph A. Crop for the

  • A Framework for Evaluating the Comprehensiveness of Continuous Improvement in Academic Computing Programs. A 360-Degree View of the Continuous Improvement Efforts in a Large School of Electrical Engineering and Computer Science

    Creator:
    Azzouni, Abdullah
    Abstract:
    Continuous Improvement (CI) of academic computing programs is a main requirement of accreditation. Academic computing programs must have a well-documented CI plan in order to be granted accreditation. Based on the existing literature, we developed a comprehensive CI (or 360-CI) model consisting of 8 components: course, curriculum, administration, faculty, research,...
    Resource Type:
    Dissertation
    Full Text:
    Azzouni for the degree of Doctor of Philosophy in Computer Science presented on May 24, 2022. Title: A

  • Network coding for multi-user wireless networks

    Creator:
    Nguyen, Dong Van
    Abstract:
    Until a few years ago, wireless-capable laptops were considered novelties by many. It is now hard to find a laptop or a hand-held computing device that is not wireless-ready. As wireless devices are becoming commodities, they have also become an indispensable part of the modern society. Not surprisingly, research in...
    Resource Type:
    Dissertation
    Full Text:
    Until a few years ago, wireless-capable laptops were considered novelties by many. It is now hard to

  • Network Abnormalities in Routerless Networks on Chip

    Creator:
    Gambord, Ryan T.
    Abstract:
    Routerless networks on chip (NoCs) were recently introduced as an alternative to traditional mesh-based scalable networks, promising improved performance and scalability with a large decrease in power and area usage by the elimination of routing on in-flight packets. Without mitigation, most network designs, including routerless, are susceptible to loss of...
    Resource Type:
    Masters Thesis
    Full Text:
    these candidates following a round-robin scheme to enforce fairness between the loops. Remaining

  • Interlaced instruction window

    Creator:
    Ong, Wee-Shong
    Abstract:
    A relatively recent development in the late 1980s in processors has been the superscalar processor. Superscalar processors use multiple pipelines in an attempt to achieve higher performance than previous generations of processors. Having multiple pipelines makes it possible to execute more than one instruction per cycle. However, since instructions are...
    Resource Type:
    Masters Thesis
    Full Text:
    on May 27 1997. Title: Interleaved Instruction Window. Abstract approve Shih-Lien Lu A

  • 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:
    a promising future of introducing ML into computer system design and optimization. Throughput

  • Optimal communications system design for array-based electric generation

    Creator:
    Orozco, Ricardo
    Abstract:
    The world's demand for energy is an ongoing challenge, which has yet to be overcome. The efforts to find clean energy alternatives to fossil fuels have been hampered by the lack of investment in technology and research. Among these clean energy alternatives are ocean waves and wind. Wind power is...
    Resource Type:
    Masters Thesis
    Full Text:
    the wind's kinetic energy; it has gained worldwide popularity as a large-scale energy source, but

  • Machine Learning for Architectural Design Space Exploration and Resource Control

    Creator:
    Penney, Drew D.
    Abstract:
    Machine learning has enabled significant advancements in diverse fields, yet, with a few exceptions, has had limited impact on computer architecture. Recent work, however, has begun to explore broader application to design, optimization, and simulation. Notably, machine-learning-based strategies often surpass prior state-of-the-art analytical, heuristic, and human-expert approaches. This thesis first...
    Resource Type:
    Masters Thesis
    Full Text:
    Machine learning has enabled significant advancements in diverse fields, yet, with a few exceptions, has

  • Machine learning for computer architecture design and optimization

    Creator:
    Penney, Drew
    Abstract:
    Machine learning applied to computer architecture has rapidly transitioned from a theoretical novelty to being a driving force behind design, control, and simulation in practically all components. These machine-learning-based methodologies are further notable for their scalability to increasingly complex design challenges, which has allowed these methodologies to surpass the prior...
    Resource Type:
    Dissertation
    Full Text:
    Chen Machine learning applied to computer architecture has rapidly transitioned from a theoretical