High performance visualization enabling extreme-scale scientific insight
Visualization and analysis tools, techniques, and algorithms have undergone a rapid evolution in recent decades to accommodate explosive growth in data size and complexity and to exploit emerging multi- and many-core computational platforms. High Performance Visualization: Enabling Extreme-Scale Sci...
| Otros Autores: | , , |
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Boca Raton, Fla. :
CRC Press, Taylor & Francis
c2013.
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| Edición: | 1st edition |
| Colección: | Chapman & Hall/CRC Computational Science
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| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009628678506719 |
Tabla de Contenidos:
- Front Cover; High Performance Visualization: Enabling Extreme-Scale Scientific Insight; Copyright; Foreword; Preface; Contributor List; List of Figures; List of Tables; Table of Contents; Acknowledgments; 1. Introduction; Part I: Distributed Memory Parallel Concepts and Systems; 2. Parallel Visualization Frameworks; 3. Remote and Distributed Visualization Architectures; 4. Rendering; 5. Parallel Image Compositing Methods; 6. Parallel Integral Curves; Part II: Advanced Processing Techniques; 7. Query-Driven Visualization and Analysis; 8. Progressive Data Access for Regular Grids
- 9. In Situ Processing10. Streaming and Out-of-Core Methods; Part III: Advanced Architectural Challenges and Solutions; 11. GPU-Accelerated Visualization; 12. Hybrid Parallelism; 13. Visualization at Extreme Scale Concurrency; 14. Performance Optimization and Auto-Tuning; 15. The Path to Exascale; Part IV: High Performance Visualization Implementations; 16. VisIt: An End-User Tool for Visualizing and Analyzing Very Large Data; 17. IceT; 18. The ParaView Visualization Application; 19. The ViSUS Visualization Framework; 20. The VAPOR Visualization Application
- 21. The EnSight Visualization ApplicationBack Cover
