Porto, Portugal 3-4 June 2019


Session 1
Dynamic I/O Budget Reallocation For In Situ Wavelet Compression
Nicole J. Marsaglia, Shaomeng Li, Kristi Belcher, Matthew Larsen, and Hank Childs
Fast Mesh Validation in Combustion Simulations through In-Situ Visualization
Sergei Shudler, Nicola Ferrier, Joseph Insley, Michael E. Papka, Saumil Patel, and Silvio Rizzi
Scalable Parallel Flow Visualization Using 3D Line Integral Convolution for Large Scale Unstructured Simulation Data
Yangguang Liao, Hiroaki Matsui, Oliver Kreylos, and Louise H. Kellogg
Task-based Augmented Reeb Graphs with Dynamic ST-Trees
Charles Gueunet, Pierre Fortin, Julien Jomier, and Julien Tierny
Session 2
Parallel XPBD Simulation of Modified Morse Potential - an Alternative Spring Model
Ozan Cetinaslan
Real-time Particle-based Snow Simulation on the GPU
Prashant Goswami, Christian Markowicz, and Ali Hassan
Hybrid Online Autotuning for Parallel Ray Tracing
Killian Herveau, Philip Pfaffe, Martin Peter Tillmann, Walter F. Tichy, and Carsten Dachsbacher
Screen Partitioning Load Balancing for Parallel Rendering on a Multi-GPU Multi-Display Workstation
Yangzi Dong and Chao Peng
Session 3
Efficient Point Merging Using Data Parallel Techniques
Abhishek Yenpure, Hank Childs, and Kenneth Moreland
Session 4
Hybrid Remote Visualization in Immersive Virtual Environments with Vistle
Martin Aumüller
Statistical Analysis of Parallel Data Uploading using OpenGL
Markus Wiedemann and Dieter Kranzlmüller
An Interpolation Scheme for VDVP Lagrangian Basis Flows
Sudhanshu Sane, Hank Childs, and Roxana Bujack

Recent Submissions

  • An Interpolation Scheme for VDVP Lagrangian Basis Flows 

    Sane, Sudhanshu; Childs, Hank; Bujack, Roxana (The Eurographics Association, 2019)
    Using the Eulerian paradigm, accurate flow visualization of 3D time-varying data requires a high temporal resolution resulting in large storage requirements. The Lagrangian paradigm has proven to be a viable in situ-based ...
  • Statistical Analysis of Parallel Data Uploading using OpenGL 

    Wiedemann, Markus; Kranzlmüller, Dieter (The Eurographics Association, 2019)
    Modern real-time visualizations of large-scale datasets require constant high frame rates while their datasets might exceed the available graphics memory. This requires sophisticated upload strategies from host memory to ...
  • Hybrid Remote Visualization in Immersive Virtual Environments with Vistle 

    Aumüller, Martin (The Eurographics Association, 2019)
    Because of the spatial separation of high performance compute resources and immersive visualization systems, their combined use requires remote visualization. Remote rendering incurs increased latency from user interaction ...
  • Efficient Point Merging Using Data Parallel Techniques 

    Yenpure, Abhishek; Childs, Hank; Moreland, Kenneth (The Eurographics Association, 2019)
    We study the problem of merging three-dimensional points that are nearby or coincident. We introduce a fast, efficient approach that uses data parallel techniques for execution in various shared-memory environments. Our ...
  • Screen Partitioning Load Balancing for Parallel Rendering on a Multi-GPU Multi-Display Workstation 

    Dong, Yangzi; Peng, Chao (The Eurographics Association, 2019)
    Commodity workstations with multiple GPUs have been built by engineers and scientists for real-time rendering applications. As a result, a high display resolution can be achieved by connecting each GPU to a display monitor ...
  • Hybrid Online Autotuning for Parallel Ray Tracing 

    Herveau, Killian; Pfaffe, Philip; Tillmann, Martin Peter; Tichy, Walter F.; Dachsbacher, Carsten (The Eurographics Association, 2019)
    Acceleration structures are key to high performance parallel ray tracing. Maximizing performance requires configuring the degrees of freedom (e.g., construction parameters) these data structures expose. Whether a parameter ...
  • Real-time Particle-based Snow Simulation on the GPU 

    Goswami, Prashant; Markowicz, Christian; Hassan, Ali (The Eurographics Association, 2019)
    This paper presents a novel real-time particle-based method for simulating snow on the GPU. Our method captures compression and bonding between snow particles, and incorporates the thermodynamics to model the realistic ...
  • Parallel XPBD Simulation of Modified Morse Potential - an Alternative Spring Model 

    Cetinaslan, Ozan (The Eurographics Association, 2019)
    In this paper, we introduce a modified Morse potential as an alternative to the existing spring models within a massively parallel extended Position Based Dynamics (XPBD) algorithm. To date, stretching is one of the most ...
  • Task-based Augmented Reeb Graphs with Dynamic ST-Trees 

    Gueunet, Charles; Fortin, Pierre; Jomier, Julien; Tierny, Julien (The Eurographics Association, 2019)
    This paper presents, to the best of our knowledge, the first parallel algorithm for the computation of the augmented Reeb graph of piecewise linear scalar data. Such augmented Reeb graphs have a wide range of applications, ...
  • Scalable Parallel Flow Visualization Using 3D Line Integral Convolution for Large Scale Unstructured Simulation Data 

    Liao, Yangguang; Matsui, Hiroaki; Kreylos, Oliver; Kellogg, Louise H. (The Eurographics Association, 2019)
    To address the need of highly efficient and scalable parallel flow visualization methods, we developed a flow visualization system for large unstructured simulation data using parallel 3D line integral convolution (LIC). ...
  • Fast Mesh Validation in Combustion Simulations through In-Situ Visualization 

    Shudler, Sergei; Ferrier, Nicola; Insley, Joseph; Papka, Michael E.; Patel, Saumil; Rizzi, Silvio (The Eurographics Association, 2019)
    In-situ visualization and analysis is a powerful concept that aims to give users the ability to process data while it is still resident in memory, thereby vastly reducing the amount of data left for post-hoc analysis. The ...
  • Dynamic I/O Budget Reallocation For In Situ Wavelet Compression 

    Marsaglia, Nicole J.; Li, Shaomeng; Belcher, Kristi; Larsen, Matthew; Childs, Hank (The Eurographics Association, 2019)
    In situ wavelet compression is a potential solution for enabling post hoc visualization on supercomputers with slow I/O systems. While this in situ compression is typically accomplished by allocating an equal storage budget ...
  • PGV 2019: Frontmatter 

    Childs, Hank; Frey, Steffen (The Eurographics Association, 2019)