Interactive Visualizaton of Large Data
Approaches to the Problem
- Importance of spacial and temporal locality
- PASSION libraries
- Local Placement Model (LPM)
- Global Placement Model (GPM)
- Partitioned-Incore Model (PIM)
- I/O filtering in conjunction with Vtk
- Aggregation and dynamic query
- Demand paging
- Dynamic Query: selecting data based on a range of values
- Aggregate Manipulator: create and decompose groupings of data
- Different user goals
- Controlling scope
- Selecting focus of attention
- Choosing level of detail
- Interactive Isosurface Extraction
- Dual-level design
- Meta-cells
- Meta-intervals
- Binary-block I/O interval tree indexing structure
- Cell generation is costly
- Streamline Visualization
- Octree partitioning
- sceduled calculation and prefetching
- http://lal.cs.byu.edu/ketav/issue_2.6/research/node17.html
- Out-of-Core Computation, Brigham Young Univesity
- Chiang, Silva
- External Memory Techniques for Isosurface Extraction in Scientific Visualization, Sandia National Laboratory
- Chiang, Silva
- Isosurface Extraction in Large Scientific Visualization Applications Using the I/O-filter Technique
- Chiang, Silva, Schroeder
- Interactive Out-of-Core Isosurface Extraction
- Cox, Ellsworth
- Application-Controlled Demand Paging for Out-of-Core Visualization, NASA Ames Research Center
- Goldstein, Roth
- Using Aggregation and Dynamic Queries for Exploring Large Data Sets, Carnegie Mellon University
- Ueng, Sikorski, Ma
- Out-of-Core Streamline Visualization on Large Unstructured Meshes