Interactive GPU-based Visualization of Large Dynamic Particle Data (Record no. 85206)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 04086nam a22005535i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 978-3-031-02604-1 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20240730164012.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 220601s2017 sz | s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9783031026041 |
| -- | 978-3-031-02604-1 |
| 082 04 - CLASSIFICATION NUMBER | |
| Call Number | 001.4226 |
| 100 1# - AUTHOR NAME | |
| Author | Falk, Martin. |
| 245 10 - TITLE STATEMENT | |
| Title | Interactive GPU-based Visualization of Large Dynamic Particle Data |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1st ed. 2017. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | XII, 109 p. |
| 490 1# - SERIES STATEMENT | |
| Series statement | Synthesis Lectures on Visualization, |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Remark 2 | 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. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | 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. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Grottel, Sebastian. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Krone, Michael. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Reina, Guido. |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | https://doi.org/10.1007/978-3-031-02604-1 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks |
| 264 #1 - | |
| -- | Cham : |
| -- | Springer International Publishing : |
| -- | Imprint: Springer, |
| -- | 2017. |
| 336 ## - | |
| -- | text |
| -- | txt |
| -- | rdacontent |
| 337 ## - | |
| -- | computer |
| -- | c |
| -- | rdamedia |
| 338 ## - | |
| -- | online resource |
| -- | cr |
| -- | rdacarrier |
| 347 ## - | |
| -- | text file |
| -- | |
| -- | rda |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Information visualization. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Data structures (Computer science). |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Information theory. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Data mining. |
| 650 14 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Data and Information Visualization. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Data Structures and Information Theory. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Data Mining and Knowledge Discovery. |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
| -- | 2159-5178 |
| 912 ## - | |
| -- | ZDB-2-SXSC |
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