Now showing items 1-9 of 9

    • Automatic In Situ Camera Placement for Isosurfaces of Large-Scale Scientific Simulations 

      Marsaglia, Nicole; Mathai, Manish; Fields, Stefan; Childs, Hank (The Eurographics Association, 2022)
      High-performance computing trends are requiring in situ processing increasingly often. This work considers automating camera placement for in situ visualization, specifically of isosurfaces, which is needed when there is ...
    • Design and Evaluation of a GPU Streaming Framework for Visualizing Time-Varying AMR Data 

      Zellmann, Stefan; Wald, Ingo; Sahistan, Alper; Hellmann, Matthias; Usher, Will (The Eurographics Association, 2022)
      We describe a systematic approach for rendering time-varying simulation data produced by exa-scale simulations, using GPU workstations. The data sets we focus on use adaptive mesh refinement (AMR) to overcome memory bandwidth ...
    • A Flexible Data Streaming Design for Interactive Visualization of Large-Scale Volume Data 

      Wu, Qi; Doyle, Michael J.; Ma, Kwan-Liu (The Eurographics Association, 2022)
      Modern simulations and experiments can produce massive amounts of high-fidelity data that are challenging to transport and visualize interactively. We have designed a data streaming system to support interactive visualization ...
    • GraphWaGu: GPU Powered Large Scale Graph Layout Computation and Rendering for the Web 

      Dyken, Landon; Poudel, Pravin; Usher, Will; Petruzza, Steve; Chen, Jake Y.; Kumar, Sidharth (The Eurographics Association, 2022)
      Large scale graphs are used to encode data from a variety of application domains such as social networks, the web, biological networks, road maps, and finance. Computing enriching layouts and interactive rendering play an ...
    • Iterative Discrete Element Solver for Efficient Snow Simulation 

      Goswami, Prashant; Nordin, Adrian; Nylén, Simon (The Eurographics Association, 2022)
      This paper presents a novel Discrete Element Method (DEM) on the GPU for efficient snow simulation. To this end, our approach employs an iterative scheme on particles that easily allows the snow density to vary vastly for ...
    • 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 ...
    • PGV 2022: Frontmatter 

      Bujack, Roxana; Tierny, Julien; Sadlo, Filip (The Eurographics Association, 2022)
    • Profiling and Visualizing GPU Memory Access and Cache Behavior of Ray Tracers 

      Buelow, Max von; Riemann, Kai; Guthe, Stefan; Fellner, Dieter W. (The Eurographics Association, 2022)
      Graphical processing units (GPUs) have gained popularity in recent years due to their efficiency in running massively parallel applications. Recent developments have also adapted ray-tracing algorithms to the GPU, where ...
    • Rainbow: A Rendering-Aware Index for High-Quality Spatial Scatterplots with Result-Size Budgets 

      Bai, Qiushi; Alsudais, Sadeem; Li, Chen; Zhao, Shuang (The Eurographics Association, 2022)
      We study the problem of computing a spatial scatterplot on a large dataset for arbitrary zooming/panning queries. We introduce a general framework called ''Rainbow'' that generates a high-quality scatterplot for a given ...