Visualization in Scientific Computing

I General Requirements.- 1 Scientific Visualization in a Supercomputer Network.- 1.1 Introduction.- 1.2 An environment for scientific visualization.- 1.3 Visualization methods in a distributed environment.- 1.4 Network requirements.- 1.5 References.- 2 Visualization Services in Large Scientific Computing Centres.- 2.1 General.- 2.2 Needs and behaviours of users.- 2.3 The different steps of the visualization process.- 2.4 Solutions.- 2.5 Conclusion.- 3 The Visualisation of Numerical Computation.- 3.1 Introductory remarks.- 3.2 A model for visualising computational processes.- 3.3 Data structure visualisation and algorithm animation.- 3.4 Consideration of the target environment.- 3.5 Developing visualisation software.- 3.6 The GRASPARC project.- 3.7 Concluding remarks.- 3.8 References.- II Formal Models, Standards and Distributed Graphics.- 4 Performance Evaluation of Portable Graphics Software and Hardware for Scientific Visualization.- 4.1 Introduction.- 4.2 Main PHIGS concepts.- 4.3 Definition of the evaluation.- 4.4 Presentation of the results.- 4.5 Comments about the PHIGS implementations.- 4.6 Conclusions and comments.- 4.7 Future work.- 4.8 References.- 5 Visualization of Scientific Data for High Energy Physics: Basic Architecture and a Case Study.- 5.1 Introduction.- 5.2 CERN and its computing facilities.- 5.3 Visualization of scientific data in the field of HEP.- 5.4 Visualization of scientific data: the four basic building blocks.- 5.5 An example system for the visualization of scientific data: PAW.- 5.6 The four basic facilities in PAW.- 5.7 An important aspect of the software development: the portability.- 5.8 Conclusions.- 5.9 References.- 6 The IRIDIUM Project: Post-Processing and Distributed Graphics.- 6.1 Introduction.- 6.2 What is required in visualization of fluid dynamics.- 6.3 The user interface.- 6.4 The implementation.- 6.5 Conclusion.- 6.6 References.- 7 Towards a Reference Model for Scientific Visualization Systems.- 7.1 Introduction.- 7.2 Fundamentals.- 7.3 The basic model.- 7.4 Derived and detailed models.- 7.5 Conclusion.- 7.6 References.- 8 Interactive Scientific Visualisation: A Position Paper.- 8.1 Introduction.- 8.2 Display techniques.- 8.3 Current visualisation system architectures.- 8.4 Parallel processing and interactive visualisation.- 8.5 References.- III Applications.- 9 HIGHEND - A Visualisation System for 3D Data with Special Support for Postprocessing of Fluid Dynamics Data.- 9.1 Introduction.- 9.2 Internal design of HIGHEND.- 9.3 Capabilities of HIGHEND.- 9.4 References.- 10 Supercomputing Visualization Systems for Scientific Data Analysis and Their Applications to Meteorology.- 10.1 Introduction.- 10.2 Background information.- 10.3 Computation and visualization systems.- 10.4 Parameter selection, derivation and data preparation.- 10.5 Animation production procedures used in phase 1.- 10.6 Animation production procedures used in phase 2.- 10.7 Data analysis results.- 10.8 Visualization system evaluations.- 10.9 Conclusions.- 10.10 References.- IV Rendering Techniques.- 11 Rendering Lines on Curved Surfaces.- 11.1 Introduction.- 11.2 Modelling lines in three dimensions.- 11.3 Integration with rendering algorithms.- 11.4 Results.- 11.5 Conclusions.- 11.6 References.- 12 Interactive 3D Display of Simulated Sedimentary Basins.- 12.1 Introduction.- 12.2 Simulation of sedimentary basins - SEDSIM.- 12.3 SEDSHO (using Dore and the DUI).- 12.4 Sedview (using GL).- 12.5 User interface.- 12.6 Future directions.- 12.7 References.- 13 Visualization of 3D Scalar Fields Using Ray Casting.- 13.1 Introduction.- 13.2 Ray casting.- 13.3 Colour mapping and image generation.- 13.4 Implementation.- 13.5 Results.- 13.6 Discussion.- 13.7 References.- 14 Volume Rendering and Data Feature Enhancement.- 14.1 Introduction.- 14.2 Basic technique for volume rendering: the transport theory model.- 14.3 Mapping of data features onto visualization parameters.- 14.4 Tools for enhancement of critical features.- 14.5 Appendix: evaluation of the transport equation.- 14.6 References.- 15 Visualization of 3D Empirical Data: The Voxel Processor.- 15.1 Introduction.- 15.2 The voxel data.- 15.3 The 3D reconstruction.- 15.4 Parallel processing.- 15.5 System architecture.- 15.6 Implementation remarks.- 15.7 Current activities.- 15.8 Conclusions.- 15.9 References.- 16 Spatial Editing for Interactive Inspection of Voxel Models.- 16.1 Introduction.- 16.2 BSP-tree fundamentals.- 16.3 Displaying subdivided volume data.- 16.4 Interactive BSP-tree construction.- 16.5 Implementation and results.- 16.6 Conclusions and further work.- 16.7 References.- V Interaction.- 17 The Rotating Cube: Interactive Specification of Viewing for Volume Visualization.- 17.1 Introduction.- 17.2 Concepts.- 17.3 Implementation.- 17.4 Conclusions.- 17.5 References.- 18 Chameleon: A Holistic Approach to Visualisation.- 18.1 Introduction.- 18.2 Overview.- 18.3 The method concept.- 18.4 The view concept.- 18.5 User interface.- 18.6 Problem interface.- 18.7 Help.- 18.8 Configuration.- 18.9 Chameleon.- 18.10 Conclusions.- 18.11 References.- Colour Plates (see list on p. XII).- List of Authors.