Interactive GPU-based visualization of large dynamic particle data /
By: Falk, Martin [author.].
Contributor(s): Grottel, Sebastian [author.] | Krone, Michael [author.] | Reina, Guido [author.].
Material type:
BookSeries: Synthesis digital library of engineering and computer science: ; Synthesis lectures on visualization: # 8.Publisher: [San Rafael, California] : Morgan & Claypool, 2017.Description: 1 PDF (xii, 109 pages) : illustrations.Content type: text | still image Media type: electronic Carrier type: online resourceISBN: 9781627054874.Subject(s): Computer graphics | Particles | Graphics processing units | particles | visualization | GPU
 | 
molecules | 
rendering | 
visual analysis
 | object/image | space methods | 


glyph rendering | atomistic visualizationDDC classification: 001.4226 Online resources: Abstract with links to resource Also available in print.| Item type | Current location | Call number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|
E books
|
PK Kelkar Library, IIT Kanpur | Available | EBKE699 |
Mode of access: World Wide Web.
System requirements: Adobe Acrobat Reader.
Part of: Synthesis digital library of engineering and computer science.
Includes bibliographical references (pages 101-108).
Acknowledgments -- Figure credits -- 1. Introduction: 1.1. Scope of this lecture; 1.2. Related topics beyond the scope -- 2. History -- 3. GPU-based glyph ray casting: 3.1. Fragment-based ray casting; 3.2. Silhouette approximation; 3.3. Geometry generation -- 4. Acceleration strategies: 4.1. Optimized data upload; 4.2. Support geometry generation; 4.3. Particle culling techniques -- 5. Data structures: 5.1. Uniform grids for molecular dynamics data; 5.2. Hierarchical data structures -- 6. Efficient nearest neighbor search on the GPU -- 7. Improved visual quality: 7.1. Deferred shading; 7.2. Ambient occlusion -- 8. Application-driven abstractions: 8.1. Spline representations; 8.2. Particle surfaces; 8.3. Clustering and aggregation -- 9. Summary and outlook -- Bibliography -- Authors' biographies.
Abstract freely available; full-text restricted to subscribers or individual document purchasers.
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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.
Also available in print.
Title from PDF title page (viewed on October 21, 2016).
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