EGPGV21: Eurographics Symposium on Parallel Graphics and Visualization

 

Table of Contents
Flow
HyLiPoD: Parallel Particle Advection Via a Hybrid of Lifeline Scheduling and Parallelization-Over-Data (Short Paper)
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Roba Binyahib, David Pugmire, and Hank Childs
Machine Learning-Based Autotuning for Parallel Particle Advection
[full paper Image] [meta data Image]
Samuel D. Schwartz, Hank Childs, and David Pugmire
Scalable In Situ Computation of Lagrangian Representations via Local Flow Maps
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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 (Short Paper)
[full paper Image] [meta data Image]
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
[full paper Image] [meta data Image]
Ingo Wald, Stefan Zellmann, and Nate Morrical
Performance Tradeoffs in Shared-memory Platform Portable Implementations of a Stencil Kernel (Short Paper)
[full paper Image] [meta data Image]
E. Wes Bethel, Colleen Heinemann, and Talita Perciano
Particles
UnityPIC: Unity Point-Cloud Interactive Core
[full paper Image] [meta data Image]
Yaocheng Wu, Huy Vo, Jie Gong, and Zhigang Zhu
Interactive Selection on Calculated Attributes of Large-Scale Particle Data
[full paper Image] [meta data Image]
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 ...

  • 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. ...

  • 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 ...

  • 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)