Now showing items 1-9 of 9

    • Achieving Portable Performance For Wavelet Compression Using Data Parallel Primitives 

      Li, Shaomeng; Marsaglia, Nicole; Chen, Vincent; Sewell, Christopher; Clyne, John; Childs, Hank (The Eurographics Association, 2017)
      We consider the problem of wavelet compression in the context of portable performance over multiple architectures. We contribute a new implementation of the wavelet transform algorithm that uses data parallel primitives ...
    • EG PGV 2017: Frontmatter 

      Telea, Alexandru; Bennett, Janine (Eurographics Association, 2017)
    • Interactive Exploration of Dissipation Element Geometry 

      Vierjahn, Tom; Schnorr, Andrea; Weyers, Benjamin; Denker, Dominik; Wald, Ingo; Garth, Christoph; Kuhlen, Torsten W.; Hentschel, Bernd (The Eurographics Association, 2017)
      Dissipation elements (DE) define a geometrical structure for the analysis of small-scale turbulence. Existing analyses based on DEs focus on a statistical treatment of large populations of DEs. In this paper, we propose a ...
    • PaViz: A Power-Adaptive Framework for Optimizing Visualization Performance 

      Labasan, Stephanie; Larsen, Matthew; Childs, Hank; Rountree, Barry (The Eurographics Association, 2017)
      Power consumption is widely regarded as one of the biggest challenges to reaching the next generation of high-performance computing. One strategy for achieving an exaflop given limited power is hardware overprovisioning. ...
    • Photo-Guided Exploration of Volume Data Features 

      Raji, Mohammad; Hota, Alok; Sisneros, Robert; Messmer, Peter; Huang, Jian (The Eurographics Association, 2017)
      In this work, we pose the question of whether, by considering qualitative information such as a sample target image as input, one can produce a rendered image of scientific data that is similar to the target. The algorithm ...
    • Prediction of Distributed Volume Visualization Performance to Support Render Hardware Acquisition 

      Tkachev, Gleb; Frey, Steffen; Müller, Christoph; Bruder, Valentin; Ertl, Thomas (The Eurographics Association, 2017)
      We present our data-driven, neural network-based approach to predicting the performance of a distributed GPU volume renderer for supporting cluster equipment acquisition. On the basis of timing measurements from a single ...
    • Progressive CPU Volume Rendering with Sample Accumulation 

      Usher, Will; Amstutz, Jefferson; Brownlee, Carson; Knoll, Aaron; Wald, Ingo (The Eurographics Association, 2017)
      We present a new method for progressive volume rendering by accumulating object-space samples over successively rendered frames. Existing methods for progressive refinement either use image space methods or average pixels ...
    • A Space-Efficient Method for Navigable Ensemble Analysis and Visualization 

      Hota, Alok; Raji, Mohammad; Hobson, Tanner; Huang, Jian (The Eurographics Association, 2017)
      Scientists increasingly rely on simulation runs of complex models in lieu of cost-prohibitive or infeasible experimentation. The data output of many controlled simulation runs, the ensemble, is used to verify correctness ...
    • A Task-Based Parallel Rendering Component For Large-Scale Visualization Applications 

      Biedert, Tim; Werner, Kilian; Hentschel, Bernd; Garth, Christoph (The Eurographics Association, 2017)
      An increasingly heterogeneous system landscape in modern high performance computing requires the efficient and portable adaption of performant algorithms to diverse architectures. However, classic hybrid shared-memory/distributed ...