Interactive gpu based visualization large von martin falk (14 Ergebnisse)
Interactive Gpu-based Visualization of Large Dynamic Particle Data
Falk, Martin; Grottel, Sebastian; Krone, Michael; Reina, Guido
- Softcover
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Interactive Gpu-based Visualization of Large Dynamic Particle Data
Falk, Martin; Grottel, Sebastian; Krone, Michael; Reina, Guido
- Softcover
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Interactive GPU-based Visualization of Large Dynamic Particle Data (Synthesis Lectures on Visualization)
Falk, Martin; Grottel, Sebastian; Krone, Michael; Reina, Guido
- Softcover
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Interactive GPU-based Visualization of Large Dynamic Particle Data (Synthesis Lectures on Visualization)
Falk, Martin; Grottel, Sebastian; Krone, Michael; Reina, Guido
- Softcover
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Interactive Gpu-based Visualization of Large Dynamic Particle Data
Falk, Martin; Grottel, Sebastian; Krone, Michael; Reina, Guido
- Softcover
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Interactive Gpu-based Visualization of Large Dynamic Particle Data
Falk, Martin; Grottel, Sebastian; Krone, Michael; Reina, Guido
- Softcover
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes KönigreichGreatBookPricesUK
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- Softcover
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 particl…es 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.
- Softcover
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paperback. Zustand: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Zustand: new. Questo è un articolo print on demand.
Interactive GPU-based Visualization of Large Dynamic Particle Data (Synthesis Lectures on Visualization)
Falk, Martin; Grottel, Sebastian; Krone, Michael; Reina, Guido
- Softcover
- Print-on-Demand
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Zustand: New. Print on Demand.
Interactive GPU-based Visualization of Large Dynamic Particle Data (Synthesis Lectures on Visualization)
Falk, Martin; Grottel, Sebastian; Krone, Michael; Reina, Guido
- Softcover
- Print-on-Demand
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- Softcover
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 phys…ics. 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. 124 pp. Englisch.
Sprache: Englisch
Verlag: Springer, Berlin|Springer International Publishing|Morgan & Claypool|Springer 2016
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 s…ciences or physics. The particles a.
- Softcover
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 124 pp. Englisch.
