• GraphWaGu: GPU Powered Large Scale Graph Layout Computation and Rendering for the Web 

  Dyken, Landon; Poudel, Pravin; Usher, Will; Petruzza, Steve; Chen, Jake Y.; Kumar, Sidharth (The Eurographics Association, 2022)

  Large scale graphs are used to encode data from a variety of application domains such as social networks, the web, biological networks, road maps, and finance. Computing enriching layouts and interactive rendering play an ...

• Design and Evaluation of a GPU Streaming Framework for Visualizing Time-Varying AMR Data 

  Zellmann, Stefan; Wald, Ingo; Sahistan, Alper; Hellmann, Matthias; Usher, Will (The Eurographics Association, 2022)

  We describe a systematic approach for rendering time-varying simulation data produced by exa-scale simulations, using GPU workstations. The data sets we focus on use adaptive mesh refinement (AMR) to overcome memory bandwidth ...

• A Flexible Data Streaming Design for Interactive Visualization of Large-Scale Volume Data 

  Wu, Qi; Doyle, Michael J.; Ma, Kwan-Liu (The Eurographics Association, 2022)

  Modern simulations and experiments can produce massive amounts of high-fidelity data that are challenging to transport and visualize interactively. We have designed a data streaming system to support interactive visualization ...

• Automatic In Situ Camera Placement for Isosurfaces of Large-Scale Scientific Simulations 

  Marsaglia, Nicole; Mathai, Manish; Fields, Stefan; Childs, Hank (The Eurographics Association, 2022)

  High-performance computing trends are requiring in situ processing increasingly often. This work considers automating camera placement for in situ visualization, specifically of isosurfaces, which is needed when there is ...

• Iterative Discrete Element Solver for Efficient Snow Simulation 

  Goswami, Prashant; Nordin, Adrian; Nylén, Simon (The Eurographics Association, 2022)

  This paper presents a novel Discrete Element Method (DEM) on the GPU for efficient snow simulation. To this end, our approach employs an iterative scheme on particles that easily allows the snow density to vary vastly for ...

• Massively Parallel Large Scale Inundation Modelling 

  Rak, Arne; Guthe, Stefan; Mewis, Peter (The Eurographics Association, 2022)

  Over the last 20 years, flooding has been the most common natural disaster, accounting for 44.7% of all disasters, affecting about 1.65 billion people worldwide and causing roughly 105 thousand deaths†. In contrast to other ...

• Rainbow: A Rendering-Aware Index for High-Quality Spatial Scatterplots with Result-Size Budgets 

  Bai, Qiushi; Alsudais, Sadeem; Li, Chen; Zhao, Shuang (The Eurographics Association, 2022)

  We study the problem of computing a spatial scatterplot on a large dataset for arbitrary zooming/panning queries. We introduce a general framework called ''Rainbow'' that generates a high-quality scatterplot for a given ...

• Profiling and Visualizing GPU Memory Access and Cache Behavior of Ray Tracers 

  Buelow, Max von; Riemann, Kai; Guthe, Stefan; Fellner, Dieter W. (The Eurographics Association, 2022)

  Graphical processing units (GPUs) have gained popularity in recent years due to their efficiency in running massively parallel applications. Recent developments have also adapted ray-tracing algorithms to the GPU, where ...

• PGV 2022: Frontmatter 

  Bujack, Roxana; Tierny, Julien; Sadlo, Filip (The Eurographics Association, 2022)

• Interactive Selection on Calculated Attributes of Large-Scale Particle Data 

  Wollet, Benjamin; Reinhardt, Stefan; Weiskopf, Daniel; Eberhardt, Bernhard (The Eurographics Association, 2021)

  We present a GPU-based technique for efficient selection in interactive visualizations of large particle datasets. In particular, we address multiple attributes attached to particles, such as pressure, density, or surface ...

• UnityPIC: Unity Point-Cloud Interactive Core 

  Wu, Yaocheng; Vo, Huy; Gong, Jie; Zhu, Zhigang (The Eurographics Association, 2021)

  In this work, we present Unity Point-Cloud Interactive Core, a novel interactive point cloud rendering pipeline for the Unity Development Platform. The goal of the proposed pipeline is to expedite the development process ...

• Faster RTX-Accelerated Empty Space Skipping using Triangulated Active Region Boundary Geometry 

  Wald, Ingo; Zellmann, Stefan; Morrical, Nate (The Eurographics Association, 2021)

  We describe a technique for GPU and RTX accelerated space skipping of structured volumes that improves on prior work by replacing clustered proxy boxes with a GPU-extracted triangle mesh that bounds the active regions. ...

• 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 ...

• Performance Tradeoffs in Shared-memory Platform Portable Implementations of a Stencil Kernel 

  Bethel, E. Wes; Heinemann, Colleen; Perciano, Talita (The Eurographics Association, 2021)

  Building on a significant amount of current research that examines the idea of platform-portable parallel code across different types of processor families, this work focuses on two sets of related questions. First, using ...

• 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 ...

• Machine Learning-Based Autotuning for Parallel Particle Advection 

  Schwartz, Samuel D.; Childs, Hank; Pugmire, David (The Eurographics Association, 2021)

  Data-parallel particle advection algorithms contain multiple controls that affect their execution characteristics and performance, in particular how often to communicate and how much work to perform between communications. ...

• HyLiPoD: Parallel Particle Advection Via a Hybrid of Lifeline Scheduling and Parallelization-Over-Data 

  Binyahib, Roba; Pugmire, David; Childs, Hank (The Eurographics Association, 2021)

  Performance characteristics of parallel particle advection algorithms can vary greatly based on workload.With this short paper, we build a new algorithm based on results from a previous bake-off study which evaluated the ...

• PGV 2021: Frontmatter 

  Larsen, Matthew; Sadlo, Filip (The Eurographics Association, 2021)

• Alternative Parameters for On-The-Fly Simplification of MergeTrees 

  Werner, Kilian; Garth, Christoph (The Eurographics Association, 2020)

  Topological simplification of merge trees requires a user specified persistence threshold. As this threshold is based on prior domain knowledge and has an unpredictable relation to output size, its use faces challenges in ...

• High-Quality Rendering of Glyphs Using Hardware-Accelerated Ray Tracing 

  Zellmann, Stefan; Aumüller, Martin; Marshak, Nathan; Wald, Ingo (The Eurographics Association, 2020)

  Glyph rendering is an important scientific visualization technique for 3D, time-varying simulation data and for higherdimensional data in general. Though conceptually simple, there are several different challenges when ...

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