Interactive GPU-based Visualization of Large Dynamic Particle Data
eBook - PDF

Interactive GPU-based Visualization of Large Dynamic Particle Data

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

Interactive GPU-based Visualization of Large Dynamic Particle Data

About this book

Prevalent types of data in scientific visualization are volumetric data, vector field data, and particle-based data. Particle data typically originates from measurements and simulations in various fields, such as life sciences or physics. The particles are often visualized directly, that is, by simple representants like spheres. Interactive rendering facilitates the exploration and visual analysis of the data. 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 targets visualization researchers and developers who are interested in visualization techniques for large, dynamic particle-based data. Its explanations focus on GPU-accelerated algorithms for high-performance rendering and data processing that run in real-time on modern desktop hardware. Consequently, the implementation of said algorithms and the required data structures to make use of the capabilities of modern graphics APIs are discussed in detail. Furthermore, it covers GPU-accelerated methods for the generation of application-dependent abstract representations. This includes various representations commonly used in application areas such as structural biology, systems biology, thermodynamics, and astrophysics.

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Yes, you can access Interactive GPU-based Visualization of Large Dynamic Particle Data by Martin Falk,Sebastian Grottel,Michael Krone,Guido Reina in PDF and/or ePUB format, as well as other popular books in Mathematics & Computer Science General. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Cover
  2. Copyright Page
  3. Title Page
  4. Contents
  5. Acknowledgments
  6. Figure Credits
  7. Introduction
  8. History
  9. GPU-based Glyph Ray Casting
  10. Acceleration Strategies
  11. Data Structures
  12. Efficient Nearest Neighbor Search on the GPU
  13. Improved Visual Quality
  14. Application-driven Abstractions
  15. Summary and Outlook
  16. Bibliography
  17. Authors’ Biographies