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High Performance Computing for Computer Graphics and Visualisation

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Cover of 'High Performance Computing for Computer Graphics and Visualisation'

Table of Contents

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    Book Overview
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    Chapter 1 A Survey of Parallel Algorithms for Graphics and Visualization
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    Chapter 2 Known and Potential High Performance Computing Applications in Computer Graphics and Visualization
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    Chapter 3 GRAMMY: High Performance Graphics Using Graphics Memories
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    Chapter 4 Assisting the Design and Optimisation of High Quality Parallel Renderers
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    Chapter 5 A Classification Scheme for Rendering Algorithms on Parallel Computers
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    Chapter 6 Hybrid Scheduling for Efficient Ray Tracing of Complex Images
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    Chapter 7 Scan-Line Methods for Parallel Rendering
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    Chapter 8 A Modular Massively Parallel Processor for Volumetric Visualisation Processing
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    Chapter 9 A Load Balancing Scheme for Parallelizing Hierarchical Splatting on a MPP System with a Non-uniform Memory Access Architecture
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    Chapter 10 Shared-Memory Multiprocessor Implementation of Voxelization for Volume Visualization
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    Chapter 11 Parallel Processing for Photo-Realistic Emergency Lighting Visualisation
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    Chapter 12 Parallel Motion Synthesis
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    Chapter 13 Dynamic Terrain Generation Based on Multifractal Techniques
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    Chapter 14 Collaborative and Interactive Visualization in a Distributed High Performance Software Environment
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    Chapter 15 Sharing Visualization Experiences among Remote Virtual Environments
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    Chapter 16 Performance Models of Interactive, Immersive Visualization for Scientific Applications
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    Chapter 17 Configuration Management of Distributed Applications and Services
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    Chapter 18 Extensions to Linda for Graphical Applications
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Mentioned by

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1 Wikipedia page

Citations

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5 Mendeley
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Title
High Performance Computing for Computer Graphics and Visualisation
Published by
Springer London, December 2012
DOI 10.1007/978-1-4471-1011-8
ISBNs
978-3-54-076016-0, 978-1-4471-1011-8
Editors

Chen, M., Townsend, P., Vince, J. A.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 60%
Researcher 1 20%
Professor > Associate Professor 1 20%
Readers by discipline Count As %
Engineering 3 60%
Computer Science 1 20%
Environmental Science 1 20%