Book description
Collecting some of the most seminal work in the field, this book focuses on the subset of scientific visualization concerned with algorithm design, implementation, and optimization for use on today's largest computational platforms. After introducing the fundamental concepts of parallel visualization, the book explores approaches to accelerate visualization and analysis operations on high performance computing platforms. Looking to the future, it also presents alternative platforms and architectures as well as contemporary, high performance visualization implementations.
Table of contents
- Front Cover
- High Performance Visualization: Enabling Extreme-Scale Scientific Insight
- Copyright
- Foreword
- Preface
- Contributor List
- List of Figures (1/2)
- List of Figures (2/2)
- List of Tables
- Table of Contents (1/2)
- Table of Contents (2/2)
- Acknowledgments (1/2)
- Acknowledgments (2/2)
- 1. Introduction (1/2)
- 1. Introduction (2/2)
-
Part I: Distributed Memory Parallel Concepts and Systems
- 2. Parallel Visualization Frameworks (1/4)
- 2. Parallel Visualization Frameworks (2/4)
- 2. Parallel Visualization Frameworks (3/4)
- 2. Parallel Visualization Frameworks (4/4)
- 3. Remote and Distributed Visualization Architectures (1/5)
- 3. Remote and Distributed Visualization Architectures (2/5)
- 3. Remote and Distributed Visualization Architectures (3/5)
- 3. Remote and Distributed Visualization Architectures (4/5)
- 3. Remote and Distributed Visualization Architectures (5/5)
- 4. Rendering (1/5)
- 4. Rendering (2/5)
- 4. Rendering (3/5)
- 4. Rendering (4/5)
- 4. Rendering (5/5)
- 5. Parallel Image Compositing Methods (1/4)
- 5. Parallel Image Compositing Methods (2/4)
- 5. Parallel Image Compositing Methods (3/4)
- 5. Parallel Image Compositing Methods (4/4)
- 6. Parallel Integral Curves (1/5)
- 6. Parallel Integral Curves (2/5)
- 6. Parallel Integral Curves (3/5)
- 6. Parallel Integral Curves (4/5)
- 6. Parallel Integral Curves (5/5)
-
Part II: Advanced Processing Techniques
- 7. Query-Driven Visualization and Analysis (1/6)
- 7. Query-Driven Visualization and Analysis (2/6)
- 7. Query-Driven Visualization and Analysis (3/6)
- 7. Query-Driven Visualization and Analysis (4/6)
- 7. Query-Driven Visualization and Analysis (5/6)
- 7. Query-Driven Visualization and Analysis (6/6)
- 8. Progressive Data Access for Regular Grids (1/6)
- 8. Progressive Data Access for Regular Grids (2/6)
- 8. Progressive Data Access for Regular Grids (3/6)
- 8. Progressive Data Access for Regular Grids (4/6)
- 8. Progressive Data Access for Regular Grids (5/6)
- 8. Progressive Data Access for Regular Grids (6/6)
- 9. In Situ Processing (1/6)
- 9. In Situ Processing (2/6)
- 9. In Situ Processing (3/6)
- 9. In Situ Processing (4/6)
- 9. In Situ Processing (5/6)
- 9. In Situ Processing (6/6)
- 10. Streaming and Out-of-Core Methods (1/5)
- 10. Streaming and Out-of-Core Methods (2/5)
- 10. Streaming and Out-of-Core Methods (3/5)
- 10. Streaming and Out-of-Core Methods (4/5)
- 10. Streaming and Out-of-Core Methods (5/5)
-
Part III: Advanced Architectural Challenges and Solutions
- 11. GPU-Accelerated Visualization (1/8)
- 11. GPU-Accelerated Visualization (2/8)
- 11. GPU-Accelerated Visualization (3/8)
- 11. GPU-Accelerated Visualization (4/8)
- 11. GPU-Accelerated Visualization (5/8)
- 11. GPU-Accelerated Visualization (6/8)
- 11. GPU-Accelerated Visualization (7/8)
- 11. GPU-Accelerated Visualization (8/8)
- 12. Hybrid Parallelism (1/6)
- 12. Hybrid Parallelism (2/6)
- 12. Hybrid Parallelism (3/6)
- 12. Hybrid Parallelism (4/6)
- 12. Hybrid Parallelism (5/6)
- 12. Hybrid Parallelism (6/6)
- 13. Visualization at Extreme Scale Concurrency (1/4)
- 13. Visualization at Extreme Scale Concurrency (2/4)
- 13. Visualization at Extreme Scale Concurrency (3/4)
- 13. Visualization at Extreme Scale Concurrency (4/4)
- 14. Performance Optimization and Auto-Tuning (1/5)
- 14. Performance Optimization and Auto-Tuning (2/5)
- 14. Performance Optimization and Auto-Tuning (3/5)
- 14. Performance Optimization and Auto-Tuning (4/5)
- 14. Performance Optimization and Auto-Tuning (5/5)
- 15. The Path to Exascale (1/5)
- 15. The Path to Exascale (2/5)
- 15. The Path to Exascale (3/5)
- 15. The Path to Exascale (4/5)
- 15. The Path to Exascale (5/5)
-
Part IV: High Performance Visualization Implementations
- 16. VisIt: An End-User Tool for Visualizing and Analyzing Very Large Data (1/4)
- 16. VisIt: An End-User Tool for Visualizing and Analyzing Very Large Data (2/4)
- 16. VisIt: An End-User Tool for Visualizing and Analyzing Very Large Data (3/4)
- 16. VisIt: An End-User Tool for Visualizing and Analyzing Very Large Data (4/4)
- 17. IceT (1/2)
- 17. IceT (2/2)
- 18. The ParaView Visualization Application (1/4)
- 18. The ParaView Visualization Application (2/4)
- 18. The ParaView Visualization Application (3/4)
- 18. The ParaView Visualization Application (4/4)
- 19. The ViSUS Visualization Framework (1/3)
- 19. The ViSUS Visualization Framework (2/3)
- 19. The ViSUS Visualization Framework (3/3)
- 20. The VAPOR Visualization Application (1/3)
- 20. The VAPOR Visualization Application (2/3)
- 20. The VAPOR Visualization Application (3/3)
- 21. The EnSight Visualization Application (1/10)
- 21. The EnSight Visualization Application (2/10)
- 21. The EnSight Visualization Application (3/10)
- 21. The EnSight Visualization Application (4/10)
- 21. The EnSight Visualization Application (5/10)
- 21. The EnSight Visualization Application (6/10)
- 21. The EnSight Visualization Application (7/10)
- 21. The EnSight Visualization Application (8/10)
- 21. The EnSight Visualization Application (9/10)
- 21. The EnSight Visualization Application (10/10)
- Back Cover
Product information
- Title: High Performance Visualization
- Author(s):
- Release date: October 2012
- Publisher(s): Chapman and Hall/CRC
- ISBN: 9781439875735
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