Flow
HyLiPoD: Parallel Particle Advection Via a Hybrid of Lifeline Scheduling and Parallelization-Over-Data
Roba Binyahib, David Pugmire, and Hank Childs
Machine Learning-Based Autotuning for Parallel Particle Advection
Samuel D. Schwartz, Hank Childs, and David Pugmire
Scalable In Situ Computation of Lagrangian Representations via Local Flow Maps
Sudhanshu Sane, Abhishek Yenpure, Roxana Bujack, Matthew Larsen, Kenneth Moreland, Christoph Garth, Chris R. Johnson, and Hank Childs
Volumes
Evaluation of PyTorch as a Data-Parallel Programming API for GPU Volume Rendering
Nathan X. Marshak, A. V. Pascal Grosset, Aaron Knoll, James Ahrens, and Chris R. Johnson
Faster RTX-Accelerated Empty Space Skipping using Triangulated Active Region Boundary Geometry
Ingo Wald, Stefan Zellmann, and Nate Morrical
Performance Tradeoffs in Shared-memory Platform Portable Implementations of a Stencil Kernel
E. Wes Bethel, Colleen Heinemann, and Talita Perciano
Particles
UnityPIC: Unity Point-Cloud Interactive Core
Yaocheng Wu, Huy Vo, Jie Gong, and Zhigang Zhu
Interactive Selection on Calculated Attributes of Large-Scale Particle Data
Benjamin Wollet, Stefan Reinhardt, Daniel Weiskopf, and Bernhard Eberhardt

Recent Submissions

  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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. ...
  • 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 ...
  • 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. ...
  • 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 ...
  • PGV 2021: Frontmatter 

    Larsen, Matthew; Sadlo, Filip (The Eurographics Association, 2021)