Now showing items 1-6 of 6

    • 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 ...
    • Parallel Compositing of Volumetric Depth Images for Interactive Visualization of Distributed Volumes at High Frame Rates 

      Gupta, Aryaman; Incardona, Pietro; Brock, Anton; Reina, Guido; Frey, Steffen; Gumhold, Stefan; Günther, Ulrik; Sbalzarini, Ivo F. (The Eurographics Association, 2023)
      We present a parallel compositing algorithm for Volumetric Depth Images (VDIs) of large three-dimensional volume data. Large distributed volume data are routinely produced in both numerical simulations and experiments, yet ...
    • FunMC^2: A Filter for Uncertainty Visualization of Marching Cubes on Multi-Core Devices 

      Wang, Zhe; Athawale, Tushar M.; Moreland, Kenneth; Chen, Jieyang; Johnson, Chris R.; Pugmire, David (The Eurographics Association, 2023)
      Visualization is an important tool for scientists to extract understanding from complex scientific data. Scientists need to understand the uncertainty inherent in all scientific data in order to interpret the data correctly. ...
    • Extended Visual Programming for Complex Parallel Pipelines in ParaView 

      Petersen, Marvin; Lukasczyk, Jonas; Gueunet, Charles; Chabat, Timothée; Garth, Christoph (The Eurographics Association, 2023)
      Modern visualization software facilitates the creation of visualization pipelines combining a plethora of algorithms to achieve high-fidelity visualization. When the complexity of the pipelines to be created increases, ...
    • 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 ...
    • PGV 2023: Frontmatter 

      Bujack, Roxana; Pugmire, David; Reina, Guido (The Eurographics Association, 2023)