Norrköping, Sweden, May 25-29, 2020 (Virtual)


Graphics
Finding Efficient Spatial Distributions for Massively Instanced 3-d Models
Stefan Zellmann, Nate Morrical, Ingo Wald, and Valerio Pascucci
Fast Multi-View Rendering for Real-Time Applications
Johannes Unterguggenberger, Bernhard Kerbl, Markus Steinberger, Dieter Schmalstieg, and Michael Wimmer
Moment-Based Opacity Optimization
Mahmoud Zeidan, Tobias Rapp, Christoph Peters, and Carsten Dachsbacher
Visualization
Improving Performance of M-to-N Processing and Data Redistribution in In Transit Analysis and Visualization
Burlen Loring, Mathew Wolf, James Kress, Sergei Shudler, Junmin Gu, Silvio Rizzi, Jeremy Logan, Nicola Ferrier, and E. Wes Bethel
Effective Parallelization Strategies for Scalable, High-Performance Iterative Reconstruction
Christiaan Paul Gribble
Approaches for In Situ Computation of Moments in a Data-Parallel Environment
Karen C. Tsai, Roxana Bujack, Berk Geveci, Utkarsh Ayachit, and James Ahrens
Short Papers
High-Quality Rendering of Glyphs Using Hardware-Accelerated Ray Tracing
Stefan Zellmann, Martin Aumüller, Nathan Marshak, and Ingo Wald
Alternative Parameters for On-The-Fly Simplification of MergeTrees
Kilian Werner and Christoph Garth

Recent Submissions

  • High-Quality Rendering of Glyphs Using Hardware-Accelerated Ray Tracing 

    Zellmann, Stefan; Aumüller, Martin; Marshak, Nathan; Wald, Ingo (The Eurographics Association, 2020)
    Glyph rendering is an important scientific visualization technique for 3D, time-varying simulation data and for higherdimensional data in general. Though conceptually simple, there are several different challenges when ...
  • Alternative Parameters for On-The-Fly Simplification of MergeTrees 

    Werner, Kilian; Garth, Christoph (The Eurographics Association, 2020)
    Topological simplification of merge trees requires a user specified persistence threshold. As this threshold is based on prior domain knowledge and has an unpredictable relation to output size, its use faces challenges in ...
  • Approaches for In Situ Computation of Moments in a Data-Parallel Environment 

    Tsai, Karen C.; Bujack, Roxana; Geveci, Berk; Ayachit, Utkarsh; Ahrens, James (The Eurographics Association, 2020)
    Feature-driven in situ data reduction can overcome the I/O bottleneck that large simulations face in modern supercomputer architectures in a semantically meaningful way. In this work, we make use of pattern detection as a ...
  • Improving Performance of M-to-N Processing and Data Redistribution in In Transit Analysis and Visualization 

    Loring, Burlen; Wolf, Mathew; Kress, James; Shudler, Sergei; Gu, Junmin; Rizzi, Silvio; Logan, Jeremy; Ferrier, Nicola; Bethel, E. Wes (The Eurographics Association, 2020)
    In an in transit setting, a parallel data producer, such as a numerical simulation, runs on one set of ranks M, while a data consumer, such as a parallel visualization application, runs on a different set of ranks N: One ...
  • Effective Parallelization Strategies for Scalable, High-Performance Iterative Reconstruction 

    Gribble, Christiaan Paul (The Eurographics Association, 2020)
    Iterative reconstruction techniques in X-ray computed tomography converge to a result by successively refining increasingly accurate estimates. Compared to alternative approaches, iterative reconstruction imposes significant ...
  • Moment-Based Opacity Optimization 

    Zeidan, Mahmoud; Rapp, Tobias; Peters, Christoph; Dachsbacher, Carsten (The Eurographics Association, 2020)
    Geometric structures such as points, lines, and surfaces play a vital role in scientific visualization. However, these visualizations frequently suffer from visual clutter that hinders the inspection of important features ...
  • Fast Multi-View Rendering for Real-Time Applications 

    Unterguggenberger, Johannes; Kerbl, Bernhard; Steinberger, Markus; Schmalstieg, Dieter; Wimmer, Michael (The Eurographics Association, 2020)
    Efficient rendering of multiple views can be a critical performance factor for real-time rendering applications. Generating more than one view multiplies the amount of rendered geometry, which can cause a huge performance ...
  • Finding Efficient Spatial Distributions for Massively Instanced 3-d Models 

    Zellmann, Stefan; Morrical, Nate; Wald, Ingo; Pascucci, Valerio (The Eurographics Association, 2020)
    Instancing is commonly used to reduce the memory footprint of massive 3-d models. Nevertheless, large production assets often do not fit into the memory allocated to a single rendering node or into the video memory of a ...
  • PGV 2020: Frontmatter 

    Frey, Steffen; Huang, Jian; Sadlo, Filip (The Eurographics Association, 2020)