Morgan & Claypool - Interactive GPU-Based Visualization Of Large Dynamic Particle Data (2017 EN)

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    Author: Martin Falk, Sebastian Grottel, Michael Krone, Guido Reina
    Full Title: Interactive GPU-Based Visualization Of Large Dynamic Particle Data
    Publisher: Morgan and Claypool Life Sciences (30 Sept. 2016)
    Year: 2017
    ISBN-13: 9781627052856 (978-1-62705-285-6), 9781627054874 (978-1-62705-487-4)
    ISBN-10: 1627052852, 1627054871
    Pages: 121
    Language: English
    Genre: Computer Science
    File type: PDF (True)
    Quality: 10/10
    Price: $45.00

    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 Outloo


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