GPU-Based Interactive Visualization Techniques - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook GPU-Based Interactive Visualization Techniques write by Daniel Weiskopf. This book was released on 2006-10-13. GPU-Based Interactive Visualization Techniques available in PDF, EPUB and Kindle. This book presents efficient visualization techniques, a prerequisite for the interactive exploration of complex data sets. High performance is demonstrated as a process of devising algorithms for the fast graphics processing units (GPUs) of modern graphics hardware. Coverage includes parallelization on cluster computers with several GPUs, adaptive rendering methods, and non-photorealistic rendering techniques for visualization.
Interactive GPU-based Visualization of Large Dynamic Particle Data
Interactive GPU-based Visualization of Large Dynamic Particle Data - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Interactive GPU-based Visualization of Large Dynamic Particle Data write by Martin Falk. This book was released on 2016-10-02. Interactive GPU-based Visualization of Large Dynamic Particle Data available in PDF, EPUB and Kindle. 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.
A Software Framework for GPU-based Geo-temporal Visualization Techniques
A Software Framework for GPU-based Geo-temporal Visualization Techniques - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook A Software Framework for GPU-based Geo-temporal Visualization Techniques write by Stefan Buschmann. This book was released on 2018. A Software Framework for GPU-based Geo-temporal Visualization Techniques available in PDF, EPUB and Kindle. Spatio-temporal data denotes a category of data that contains spatial as well as temporal components. For example, time-series of geo-data, thematic maps that change over time, or tracking data of moving entities can be interpreted as spatio-temporal data. In today's automated world, an increasing number of data sources exist, which constantly generate spatio-temporal data. This includes for example traffic surveillance systems, which gather movement data about human or vehicle movements, remote-sensing systems, which frequently scan our surroundings and produce digital representations of cities and landscapes, as well as sensor networks in different domains, such as logistics, animal behavior study, or climate research. For the analysis of spatio-temporal data, in addition to automatic statistical and data mining methods, exploratory analysis methods are employed, which are based on interactive visualization. These analysis methods let users explore a data set by interactively manipulating a visualization, thereby employing the human cognitive system and knowledge of the users to find patterns and gain insight into the data. [...]
Interactive GPU-based Visualization of Large Dynamic Particle Data
Interactive GPU-based Visualization of Large Dynamic Particle Data - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Interactive GPU-based Visualization of Large Dynamic Particle Data write by Martin Falk. This book was released on 2022-05-31. Interactive GPU-based Visualization of Large Dynamic Particle Data available in PDF, EPUB and Kindle. 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.
Trends in Interactive Visualization
Trends in Interactive Visualization - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Trends in Interactive Visualization write by Elena Zudilova-Seinstra. This book was released on 2008-12-17. Trends in Interactive Visualization available in PDF, EPUB and Kindle. II Challenges in Data Mapping Part II deals with one of the most challenging tasks in Interactive Visualization, mapping and teasing out information from large complex datasets and generating visual representations. This section consists of four chapters. Binh Pham, Alex Streit, and Ross Brown provide a comprehensive requirement analysis of information uncertainty visualizations. They examine the sources of uncertainty, review aspects of its complexity, introduce typical models of uncertainty, and analyze major issues in visualization of uncertainty, from various user and task perspectives. Alfred Inselberg examines challenges in the multivariate data analysis. He explains how relations among multiple variables can be mapped uniquely into ?-space subsets having geometrical properties and introduces Parallel Coordinates meth- ology for the unambiguous visualization and exploration of a multidimensional geometry and multivariate relations. Christiaan Gribble describes two alternative approaches to interactive particle visualization: one targeting desktop systems equipped with programmable graphics hardware and the other targeting moderately sized multicore systems using pack- based ray tracing. Finally, Christof Rezk Salama reviews state-of-the-art strategies for the assignment of visual parameters in scientific visualization systems. He explains the process of mapping abstract data values into visual based on transfer functions, clarifies the terms of pre- and postclassification, and introduces the state-of-the-art user int- faces for the design of transfer functions.
