Now showing items 1-9 of 9

    • Evaluation of PyTorch as a Data-Parallel Programming API for GPU Volume Rendering 

      Marshak, Nathan X.; Grosset, A. V. Pascal; Knoll, Aaron; Ahrens, James; Johnson, Chris R. (The Eurographics Association, 2021)
      Data-parallel programming (DPP) has attracted considerable interest from the visualization community, fostering major software initiatives such as VTK-m. However, there has been relatively little recent investigation of ...
    • Faster RTX-Accelerated Empty Space Skipping using Triangulated Active Region Boundary Geometry 

      Wald, Ingo; Zellmann, Stefan; Morrical, Nate (The Eurographics Association, 2021)
      We describe a technique for GPU and RTX accelerated space skipping of structured volumes that improves on prior work by replacing clustered proxy boxes with a GPU-extracted triangle mesh that bounds the active regions. ...
    • HyLiPoD: Parallel Particle Advection Via a Hybrid of Lifeline Scheduling and Parallelization-Over-Data 

      Binyahib, Roba; Pugmire, David; Childs, Hank (The Eurographics Association, 2021)
      Performance characteristics of parallel particle advection algorithms can vary greatly based on workload.With this short paper, we build a new algorithm based on results from a previous bake-off study which evaluated the ...
    • Interactive Selection on Calculated Attributes of Large-Scale Particle Data 

      Wollet, Benjamin; Reinhardt, Stefan; Weiskopf, Daniel; Eberhardt, Bernhard (The Eurographics Association, 2021)
      We present a GPU-based technique for efficient selection in interactive visualizations of large particle datasets. In particular, we address multiple attributes attached to particles, such as pressure, density, or surface ...
    • Machine Learning-Based Autotuning for Parallel Particle Advection 

      Schwartz, Samuel D.; Childs, Hank; Pugmire, David (The Eurographics Association, 2021)
      Data-parallel particle advection algorithms contain multiple controls that affect their execution characteristics and performance, in particular how often to communicate and how much work to perform between communications. ...
    • Performance Tradeoffs in Shared-memory Platform Portable Implementations of a Stencil Kernel 

      Bethel, E. Wes; Heinemann, Colleen; Perciano, Talita (The Eurographics Association, 2021)
      Building on a significant amount of current research that examines the idea of platform-portable parallel code across different types of processor families, this work focuses on two sets of related questions. First, using ...
    • PGV 2021: Frontmatter 

      Larsen, Matthew; Sadlo, Filip (The Eurographics Association, 2021)
    • Scalable In Situ Computation of Lagrangian Representations via Local Flow Maps 

      Sane, Sudhanshu; Yenpure, Abhishek; Bujack, Roxana; Larsen, Matthew; Moreland, Kenneth; Garth, Christoph; Johnson, Chris R.; Childs, Hank (The Eurographics Association, 2021)
      In situ computation of Lagrangian flow maps to enable post hoc time-varying vector field analysis has recently become an active area of research. However, the current literature is largely limited to theoretical settings ...
    • UnityPIC: Unity Point-Cloud Interactive Core 

      Wu, Yaocheng; Vo, Huy; Gong, Jie; Zhu, Zhigang (The Eurographics Association, 2021)
      In this work, we present Unity Point-Cloud Interactive Core, a novel interactive point cloud rendering pipeline for the Unity Development Platform. The goal of the proposed pipeline is to expedite the development process ...