Browsing EGPGV19: Eurographics Symposium on Parallel Graphics and Visualization by Subject "Computing methodologies"

Now showing items 1-6 of 6

    • 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 ...

    • Fast Mesh Validation in Combustion Simulations through In-Situ Visualization 

      Shudler, Sergei; Ferrier, Nicola; Insley, Joseph; Papka, Michael E.; Patel, Saumil; Rizzi, Silvio (The Eurographics Association, 2019)
      In-situ visualization and analysis is a powerful concept that aims to give users the ability to process data while it is still resident in memory, thereby vastly reducing the amount of data left for post-hoc analysis. The ...

    • 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 ...

    • Parallel XPBD Simulation of Modified Morse Potential - an Alternative Spring Model 

      Cetinaslan, Ozan (The Eurographics Association, 2019)
      In this paper, we introduce a modified Morse potential as an alternative to the existing spring models within a massively parallel extended Position Based Dynamics (XPBD) algorithm. To date, stretching is one of the most ...

    • 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). ...

    • Statistical Analysis of Parallel Data Uploading using OpenGL 

      Wiedemann, Markus; Kranzlmüller, Dieter (The Eurographics Association, 2019)
      Modern real-time visualizations of large-scale datasets require constant high frame rates while their datasets might exceed the available graphics memory. This requires sophisticated upload strategies from host memory to ...