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  • La VALSE: Scalable Log Visualization for Fault Characterization in Supercomputers 

    Guo, Hanqi; Di, Sheng; Gupta, Rinku; Peterka, Tom; Cappello, Franck (The Eurographics Association, 2018)
    We design and implement La VALSE-a scalable visualization tool to explore tens of millions of records of reliability, availability, and serviceability (RAS) logs-for IBM Blue Gene/Q systems. Our tool is designed to meet ...
  • Interactive Visual Analysis of Multi-dimensional Metamodels 

    Gebhardt, Sascha; Pick, Sebastian; Hentschel, Bernd; Kuhlen, Torsten Wolfgang (The Eurographics Association, 2018)
    In the simulation of manufacturing processes, complex models are used to examine process properties. To save computation time, so-called metamodels serve as surrogates for the original models. Metamodels are inherently ...
  • Rapid k-d Tree Construction for Sparse Volume Data 

    Zellmann, Stefan; Schulze, Jürgen P.; Lang, Ulrich (The Eurographics Association, 2018)
    While k-d trees are known to be effective for spatial indexing of sparse 3-D volume data, full reconstruction, e.g. due to changes to the alpha transfer function during rendering, is usually a costly operation with this ...
  • Revisiting the Evaluation of In Situ Lagrangian Analysis 

    Sane, Sudhanshu; Bujack, Roxana; Childs, Hank (The Eurographics Association, 2018)
    In situ usage of Lagrangian techniques has proven to be superior with respect to emerging supercomputing trends than the traditional Eulerian approach for scientific flow analysis. However, previous studies have not informed ...
  • Dense Texture Flow Visualization using Data-Parallel Primitives 

    Kim, Mark; Klasky, Scott; Pugmire, David (The Eurographics Association, 2018)
    Recent trends in supercomputing towards massively threaded on-node processors to increase performance has also introduced fragmented software support. In response to this changing landscape, new scientific visualization ...
  • Performance-Portable Particle Advection with VTK-m 

    Pugmire, David; Yenpure, Abhishek; Kim, Mark; Kress, James; Maynard, Robert; Childs, Hank; Hentschel, Bernd (The Eurographics Association, 2018)
    Particle advection is the fundamental kernel behind most vector field visualization methods. Yet, the efficient parallel computation of large amounts of particle traces remains challenging. This is exacerbated by the variety ...
  • Hardware-Accelerated Multi-Tile Streaming for Realtime Remote Visualization 

    Biedert, Tim; Messmer, Peter; Fogal, Thomas; Garth, Christoph (The Eurographics Association, 2018)
    The physical separation of compute resource and end user is one of the core challenges in HPC visualization. While GPUs are routinely used in remote rendering, a heretofore unexplored aspect is these GPUs' special purpose ...
  • Robust Iterative Find-Next-Hit Ray Traversal 

    Wald, Ingo; Amstutz, Jefferson; Benthin, Carsten (The Eurographics Association, 2018)
    We present two different methods for improving the performance and robustness of ray tracing algorithms that require iterating through multiple successive intersections along the same ray. Our methods do so without ever ...
  • VisIt-OSPRay: Toward an Exascale Volume Visualization System 

    Wu, Qi; Usher, Will; Petruzza, Steve; Kumar, Sidharth; Wang, Feng; Wald, Ingo; Pascucci, Valerio; Hansen, Charles D. (The Eurographics Association, 2018)
    Large-scale simulations can easily produce data in excess of what can be efficiently visualized using production visualization software, making it challenging for scientists to gain insights from the results of these ...
  • Direct Raytracing of Particle-based Fluid Surfaces Using Anisotropic Kernels 

    Biedert, Tim; Sohns, Jan-Tobias; Schröder, Simon; Amstutz, Jefferson; Wald, Ingo; Garth, Christoph (The Eurographics Association, 2018)
    Particle-based simulation models have assumed a significant role in the numerical computation of high-fidelity transient flow and continuum mechanical problems. However, direct visualization of surfaces from particle data ...
  • EGPGV 2018: Frontmatter 

    Childs, Hank; Cucchietti, Fernando (The Eurographics Association, 2018)
  • 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)

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