Barcelona, Spain, 12 - 13 June 2017


Performance Modeling and Optimization
PaViz: A Power-Adaptive Framework for Optimizing Visualization Performance
Stephanie Labasan, Matthew Larsen, Hank Childs, and Barry Rountree
Prediction of Distributed Volume Visualization Performance to Support Render Hardware Acquisition
Gleb Tkachev, Steffen Frey, Christoph Müller, Valentin Bruder, and Thomas Ertl
Progressive CPU Volume Rendering with Sample Accumulation
Will Usher, Jefferson Amstutz, Carson Brownlee, Aaron Knoll, and Ingo Wald
Exploratory Techniques
Photo-Guided Exploration of Volume Data Features
Mohammad Raji, Alok Hota, Robert Sisneros, Peter Messmer, and Jian Huang
A Space-Efficient Method for Navigable Ensemble Analysis and Visualization
Alok Hota, Mohammad Raji, Tanner Hobson, and Jian Huang
Interactive Exploration of Dissipation Element Geometry
Tom Vierjahn, Andrea Schnorr, Benjamin Weyers, Dominik Denker, Ingo Wald, Christoph Garth, Torsten W. Kuhlen, and Bernd Hentschel
Alternative Programming Model Techniques
A Task-Based Parallel Rendering Component For Large-Scale Visualization Applications
Tim Biedert, Kilian Werner, Bernd Hentschel, and Christoph Garth
Achieving Portable Performance For Wavelet Compression Using Data Parallel Primitives
Shaomeng Li, Nicole Marsaglia, Vincent Chen, Christopher Sewell, John Clyne, and Hank Childs

Recent Submissions

  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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. ...
  • 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 ...
  • EG PGV 2017: Frontmatter 

    Telea, Alexandru; Bennett, Janine (Eurographics Association, 2017)