Fabrik: a visual programming environment
OOPSLA '88 Conference proceedings on Object-oriented programming systems, languages and applications
An object-oriented 3D graphics toolkit
SIGGRAPH '92 Proceedings of the 19th annual conference on Computer graphics and interactive techniques
Design patterns: elements of reusable object-oriented software
Design patterns: elements of reusable object-oriented software
IRIS performer: a high performance multiprocessing toolkit for real-time 3D graphics
SIGGRAPH '94 Proceedings of the 21st annual conference on Computer graphics and interactive techniques
The design and implementation of an object-oriented toolkit for 3D graphics and visualization
Proceedings of the 7th conference on Visualization '96
Pattern-oriented software architecture: a system of patterns
Pattern-oriented software architecture: a system of patterns
Scene graph APIs: wired or tired?
ACM SIGGRAPH 99 Conference abstracts and applications
The Application Visualization System: A Computational Environment for Scientific Visualization
IEEE Computer Graphics and Applications
An Extended Data-Flow Architecture for Data Analysis and Visualization
VIS '95 Proceedings of the 6th conference on Visualization '95
Avocado: A Distributed Virtual Reality Framework
VR '99 Proceedings of the IEEE Virtual Reality
An architecture for a scientific visualization system
VIS '92 Proceedings of the 3rd conference on Visualization '92
An object oriented design for the visualization of multi-variable data objects
VIS '94 Proceedings of the conference on Visualization '94
Xflow: declarative data processing for the web
Proceedings of the 17th International Conference on 3D Web Technology
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Data ow graphs are a very successful paradigm in scientific visualization, while scene graphs are a leading approach in interactive graphics and virtual reality. Both approaches have their distinct advantages, and both build on a common set of basic techniques based on graph data structures. However, despite these similarities, no unified implementation of the two paradigms exists. This paper presents an in-depth analysis of the architectural components of dataflow visualization and scene graphs, and derives a design that integrates both these approaches.The implementation of this design builds on a common software infrastructure based on a scene graph, and extends it with virtualized dataflow, which allows the use of the scene graph structure and traversal mechanism for dynamically building and evaluating dataflow.