Description: Interactive GPU-based Visualization of Large Dynamic Particle Data by Martin Falk, Sebastian Grottel, Michael Krone, Guido Reina Prevalent types of data in scientific visualization are volumetric data, vector field data, and particle-based data. This is especially true for dynamic data or abstract representations that are based on the raw particle data. FORMAT Paperback LANGUAGE English CONDITION Brand New Publisher Description 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. Author Biography 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 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 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 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. Table of Contents Acknowledgments.- Figure Credits.- Introduction.- History.- GPU-based Glyph Ray Casting.- Acceleration Strategies.- Data Structures.- Efficient Nearest Neighbor Search on the GPU.- Improved Visual Quality.- Application-driven Abstractions.- Summary and Outlook.- Bibliography.- Authors Biographies. Details ISBN3031014766 Author Guido Reina Pages 109 Publisher Springer International Publishing AG Series Synthesis Lectures on Visualization Language English Year 2016 ISBN-10 3031014766 ISBN-13 9783031014765 Format Paperback Publication Date 2016-10-02 DOI 10.1007/978-3-031-02604-1 Imprint Springer International Publishing AG Place of Publication Cham Country of Publication Switzerland Translated from English UK Release Date 2016-10-02 Illustrations XII, 109 p. Audience Professional & Vocational We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:158871382;
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Book Title: Interactive GPU-based Visualization of Large Dynamic Particle Dat
