Browsing EGPGV14: Eurographics Symposium on Parallel Graphics and Visualization by Title

Now showing items 6-10 of 10

    • Parallel Methodologies for a Micropolygon Renderer 

      Bolstad, Mark A. (The Eurographics Association, 2014)
      This paper compares the performance of three different methodologies for a multi-threaded micropolygon-based renderer. We extend the REYES [AG99] algorithm for multi-threaded rendering, which we call CASCADE. CASCADE ...

    • Parallel Progressive Mesh Editing 

      Derzapf, Evgenij; Grund, Nico; Guthe, Michael (The Eurographics Association, 2014)
      Highly detailed models are commonly used in computer games and other interactive rendering applications. Intuitive editing methods are thus also required in addition to rendering algorithms. Progressive meshes are often ...

    • Performance Modeling of vl3 Volume Rendering on GPU-Based Clusters 

      Rizzi, Silvio; Hereld, Mark; Insley, Joseph; Papka, Michael E.; Uram, Thomas; Vishwanath, Venkatram (The Eurographics Association, 2014)
      This paper presents an analytical model for parallel volume rendering of large datasets using GPU-based clusters. The model is focused on the parallel volume rendering and compositing stages and predicts their performance ...

    • Precomputing Sound Scattering for Structured Surfaces 

      Mückl, Gregor; Dachsbacher, Carsten (The Eurographics Association, 2014)
      Room acoustic simulations commonly use simple models for sound scattering on surfaces in the scene. However, the continuing increase of available parallel computing power makes it possible to apply more sophisticated models. ...

    • A Study of Parallel Data Compression Using Proper Orthogonal Decomposition on the K Computer 

      Bi, Chongke; Ono, Kenji; Ma, Kwan-Liu; Wu, Haiyuan; Imamura, Toshiyuki (The Eurographics Association, 2014)
      The growing power of supercomputers continues to improve scientists' ability to model larger, more sophisticated problems in science with higher accuracy. An equally important ability is to make full use of the data output ...