21. The EnSight Visualization Application (10/10)
by E. Wes Bethel, Charles Hansen, Hank Childs
High Performance Visualization
- 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
FIGURE 21.7 Inertial Confinement Fusion implosion visualization. The images were computed
using EnSight servers located at Lawrence Livermore National Laboratory and EnSight clients run-
ning on a rendering cluster located at Los Alamos National Laboratory. Images courtesy of Robert
Kares, Los Alamos National Laboratory.
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