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Filtering by: Alternative title ssim Research bulletin 20 Remove constraint Alternative title ssim: Research bulletin 20 Committee Member Nguyen, Thinh Remove constraint Committee Member: Nguyen, Thinh Degree Field Computer Science Remove constraint Degree Field: Computer Science

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  • 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:
    fields including designing and optimizing computer systems. Recent research, such as optimizing memory

  • Some communication algorithms for Gaussian and Eisenstein-Jacobi networks

    Creator:
    Albader, Bader
    Abstract:
    Interconnection networks play important roles in designing high performance computers. Recently two new classes of interconnection networks based on the concept of Gaussian and Eisenstein-Jacobi integers were introduced. In this research, efficient routing and broadcasting algorithms for these networks are developed. Furthermore, constructing edge disjoint Hamiltonian cycles in Gaussian networks...
    Resource Type:
    Dissertation
    Full Text:
    concept of Gaussian and Eisenstein-Jacobi integers were introduced. In this research, efficient routing

  • Data processing for anomaly detection in web-based applications

    Creator:
    Gaarudapuram Sriraghavan, Rajagopal
    Abstract:
    Web applications are popular attack targets. Misuse detection systems use signature databases to detect known attacks. However, it is difficult to keep the database up to date with the rate of discovery of vulnerabilities. They also cannot detect zero-day attacks. By contrast, anomaly detection systems learn the normal behavior of...
    Resource Type:
    Masters Thesis
    Full Text:
    California, Santa Barbara, whose work has been a major inspiration for my research. His guidance from the

  • Gray codes and their applications

    Creator:
    Anantha, Madhusudhanan
    Abstract:
    An n-bit Gray code is an ordered set of all 2n binary strings of length n. The special property of this listing is that Hamming distance between consecutive vectors is exactly 1. If the last and first codeword also have a Hamming distance 1 then the code is said to...
    Resource Type:
    Dissertation
    Full Text:
    showing me how analyze and work with a research problem. I would like to express my sincere gratitude to

  • On shortest disjoint paths and Hamiltonian cycles in some interconnection networks

    Creator:
    Hussain, Zaid
    Abstract:
    Parallel processors are classified into two classes: shared-memory multiprocessors and distributed- memory multiprocessors. In the shared-memory system, processors communicate through a common memory unit. However, in the distributed multiprocessor system, each processor has its own memory unit and the communications among the processors are performed through an interconnection network. Thus,...
    Resource Type:
    Dissertation
    Full Text:
    appreciation to my major professor, Dr. Bella Bose, for improving my research skills. Also, he was available

  • Limited magnitude error control codes

    Creator:
    Elarief, Noha
    Abstract:
    A relatively new model of error control is the limited magnitude error over high radix channels. In this error model, the error magnitude does not exceed a certain limit known beforehand. In this dissertation, we study systematic error control codes for common channels under the assumption that the maximum error...
    Resource Type:
    Dissertation
    Full Text:
    error location can be determined and the error is corrected. 20 In general, when l = 1, the columns

  • Convergence Analysis Framework for Fixed-Point Algorithms in Machine Learning and Signal Processing

    Creator:
    Vu, Trung
    Abstract:
    Iterative algorithms are simple yet efficient in solving large-scale optimization problems in practice. With a surge in the amount of data in past decades, these methods have become increasingly important in many application areas including matrix/tensor recovery, deep learning, data mining, and reinforcement learning. To optimize or improve iterative algorithms,...
    Resource Type:
    Dissertation
    Full Text:
    suggestions to different topics in my research. I also had great pleasure of working with amazing members in