Browsing EGPGV: Eurographics Workshop on Parallel Graphics and Visualization by Author "Johnson, Chris R."

Now showing items 1-3 of 3

    • 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 ...

    • 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. ...

    • 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 ...