Now showing items 1-16 of 16

    • 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 ...
    • 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 ...
    • Efficient Sphere Rendering Revisited 

      Gralka, Patrick; Reina, Guido; Ertl, Thomas (The Eurographics Association, 2023)
      Glyphs are an intuitive way of displaying the results of atomistic simulations, usually as spheres. Raycasting of camera-aligned billboards is considered the state-of-the-art technique to render large sets of spheres in a ...
    • 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 ...
    • 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. ...
    • A GPU-based Out-of-core Architecture for Interactive Visualization of AMR Time Series Data 

      Alexandre-Barff, Welcome; Deleau, Hervé; Sarton, Jonathan; Ledoux, Franck; Lucas, Laurent (The Eurographics Association, 2023)
      This paper presents a scalable approach for large-scale Adaptive Mesh Refinement (AMR) time series interactive visualization. We can define AMR data as a dynamic gridding format of cells hierarchically refined from a ...
    • 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 ...
    • 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 ...
    • Interactive Exploration of Dissipation Element Geometry 

      Vierjahn, Tom; Schnorr, Andrea; Weyers, Benjamin; Denker, Dominik; Wald, Ingo; Garth, Christoph; Kuhlen, Torsten W.; Hentschel, Bernd (The Eurographics Association, 2017)
      Dissipation elements (DE) define a geometrical structure for the analysis of small-scale turbulence. Existing analyses based on DEs focus on a statistical treatment of large populations of DEs. In this paper, we propose a ...
    • 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 ...
    • 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. ...
    • Massively Parallel Large Scale Inundation Modelling 

      Rak, Arne; Guthe, Stefan; Mewis, Peter (The Eurographics Association, 2022)
      Over the last 20 years, flooding has been the most common natural disaster, accounting for 44.7% of all disasters, affecting about 1.65 billion people worldwide and causing roughly 105 thousand deaths†. In contrast to other ...
    • Photo-Guided Exploration of Volume Data Features 

      Raji, Mohammad; Hota, Alok; Sisneros, Robert; Messmer, Peter; Huang, Jian (The Eurographics Association, 2017)
      In this work, we pose the question of whether, by considering qualitative information such as a sample target image as input, one can produce a rendered image of scientific data that is similar to the target. The algorithm ...
    • 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 ...
    • Scalable Parallel Flow Visualization Using 3D Line Integral Convolution for Large Scale Unstructured Simulation Data 

      Liao, Yangguang; Matsui, Hiroaki; Kreylos, Oliver; Kellogg, Louise (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). ...
    • A Space-Efficient Method for Navigable Ensemble Analysis and Visualization 

      Hota, Alok; Raji, Mohammad; Hobson, Tanner; Huang, Jian (The Eurographics Association, 2017)
      Scientists increasingly rely on simulation runs of complex models in lieu of cost-prohibitive or infeasible experimentation. The data output of many controlled simulation runs, the ensemble, is used to verify correctness ...