With increasing data set sizes in terms of particle numbers, interactive high-quality visualization is a challenging task. This is especially true for dynamic data or abstract representations that are based on the raw particle data. This book covers direct particle visualization using simple glyphs as well as abstractions that are application-driven such as clustering and aggregation. It is written for visualization researchers and developers who are interested in visualization techniques for large, dynamic particle-based data. It focuses on GPU-accelerated algorithms for high-performance rendering and data processing that run in real-time on modern desktop hardware. Consequently, the implementation of those algorithms and the required data structures to employ modern graphics APIs are discussed in detail. It also covers GPU-accelerated methods for generating application-dependent abstract representations. This includes various representations commonly used in applications such as structural biology, systems biology, thermodynamics, and astrophysics.
Table of Contents
1. Introduction
2. History
3. GPU-based Glyph Ray Casting
4. Acceleration Strategies
5. Data Structures
6. Efficient Nearest Neighbor Search on the GPU
7. Improved Visual Quality
8. Application-driven Abstractions
9. Summary and Outlook
Bibliography
Authors’ Biographies
About the Author(s)
Martin Falk, Linkoping University, Sweden
Martin Falk is an assistant lecturer in the Scientific Visualization Group at Linkoping University. He received his Ph.D. degree (Dr. rer. nat.) from the University of Stuttgart in 2013. His research interests are volume rendering, visualizations in the context of systems biology, large spatio-temporal data, glyph-based rendering, and GPU-based simulations. He is the main developer and software architect of the visualization tool CellVis [Falk et al., 2013b] for particle-based data in systems biology.
Sebastian Grottel, Technische Universitat Dresden, Germany
Sebastian Grottel received his Ph.D. in computer science (Dr. rer. nat.) at the University of Stuttgart, Germany, at the Visualization Research Center (VISUS). Since 2012, he is a postdoctoral researcher at the Chair for Computer Graphics and Visualization at the TU Dresden, Germany. His research interests include high performance graphics for scientific visualization of dynamic data. He is the main developer and software architect of the visualization framework MegaMol [Grottel et al., 2015] for particle-based data.
Michael Krone, University of Stuttgart, Germany
Michael Krone is a postdoctoral researcher at the Visualization Research Center of the University of Stuttgart (VISUS). He received his Ph.D. computer science (Dr. rer. nat.) in 2015 from the University of Stuttgart, Germany. His main research interest lies in biomolecular visualization and visual analysis for structural biology including molecular graphics, particle-based rendering, and GPU-accelerated computing.
Guido Reina, University of Stuttgart, Germany
Guido Reina is a postdoctoral researcher at the Visualization Research Center of the University of Stuttgart (VISUS). He received his Ph.D. in computer science (Dr. rer. nat.) in 2008 from the University of Stuttgart, Germany. His research interests include large displays, particle-based rendering, and GPU-based methods in general. He is a principal investigator of the subproject Visualization of Systems with Large Numbers of Particles for the Collaborative Research Center (SFB) 716.
