Now showing items 1-9 of 9

    • 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 ...
    • 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 ...
    • 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 ...
    • PGV 2020: Frontmatter 

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