Browsing Computer Science Theses and Dissertations by Author "Childs, Hank"

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  • Mathai, Manish (University of Oregon, 2018-09-06)
    Previous studies on photo-realistic volume rendering have failed to optimize for performance with respect to the cache-hierarchy. With this thesis, we consider a tile-based approach for photo-realistic volume rendering, ...
  • Alghamdi, Areej (University of Oregon, 2017-09-27)
    We present an algorithm for overlaying polygonal data with regular grids and calculating the percentage overlap for each cell in the regular grid.  Our algorithm is able to support self-intersecting polygons, meaning that ...
  • Marsaglia, Nicole (University of Oregon, 2022-05-10)
    Trends in high-performance computing increasingly require visualization to be carried out using in situ processing. This processing most often occurs without a human in the loop, meaning that the in situ software must be ...
  • Belcher, Kristi (University of Oregon, 2020-09-24)
    Particle advection is a fundamental operation for a wide range of flow visualization algorithms. Particle advection execution times can vary based on many factors, including the number of particles, duration of advection, ...
  • Bleile, Ryan (University of Oregon, 2021-04-29)
    Since near the very beginning of electronic computing, Monte Carlo particle transport has been a fundamental approach for solving computational physics problems. Due to the high computational demands and inherently parallel ...
  • Sane, Sudhanshu (University of Oregon, 2020-09-24)
    Exploratory visualization and analysis of time-dependent vector fields or flow fields generated by scientific simulations is increasingly challenging on modern supercomputers. One possible solution is the use of a ...
  • Binyahib, Roba (University of Oregon, 2020-09-24)
    We consider the problem of efficient particle advection in a distributed- memory parallel setting, focusing on four popular parallelization algorithms. The performance of each of these algorithms varies based on the desired ...
  • Yenpure, Abhishek (University of Oregon, 2023-03-24)
    Exascale computing, i.e., supercomputers that can perform 1018 math operations per second, provide significant opportunity for improving the computational sciences. That said, these machines can be difficult to use ...
  • Kress, James (University of Oregon, 2020-09-24)
    In situ visualization is increasingly necessary to address I/O limitations on supercomputers. With the increasing heterogeneity of supercomputer design, efficient and cost effective use of resources is extremely difficult ...
  • Lessley, Brenton (University of Oregon, 2019-09-18)
    Sorting and hashing are canonical index-based methods to perform searching, and are often sub-routines in many visualization and analysis algorithms. With the emergence of many-core architectures, these algorithms must be ...
  • 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 ...
  • 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, ...
  • Kawakami, Yuya (University of Oregon, 2022-10-04)
    As the size of data from scientific simulations grows, the ability to identify key time steps in a simulation has emerged as a key challenge. In response, a number of time slice selection methods and algorithms have been ...
  • Li, Shaomeng (University of Oregon, 2018-10-31)
    As HPC systems move towards exascale, the discrepancy between computational power and I/O transfer rate is only growing larger. Lossy in situ compression is a promising solution to address this gap, since it alleviates I/O ...

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