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A Survey of Software Frameworks for Cluster-Based Large High-Resolution Displays
IEEE Transactions on Visualization and Computer Graphics
|September 11, 2015
Summary
Developing applications for Large High-Resolution Displays (LHRD) is complex. This survey details software frameworks and applications for cluster-based LHRD, aiding developers in choosing appropriate tools and environments.
Area of Science:
- Computer Science
- Human-Computer Interaction
- Data Visualization
Background:
- Large High-Resolution Displays (LHRD) offer advanced capabilities for visualizing massive datasets.
- Developing applications for LHRD requires specialized programming paradigms distinct from traditional desktop environments.
- A gap exists in accessible tools and methods for LHRD application development.
Purpose of the Study:
- To survey state-of-the-art software frameworks and applications for cluster-based LHRD.
- To provide a taxonomy for understanding LHRD software development.
- To guide developers and researchers in selecting and improving LHRD software solutions.
Main Methods:
- Literature review of existing LHRD software frameworks and applications.
- Categorization based on a three-aspect taxonomy.
- Analysis of development paradigms and tools.
Main Results:
- Identification of current software frameworks and their characteristics.
- A structured overview of LHRD application development approaches.
- Highlighting of areas needing further development in LHRD software.
Conclusions:
- Developers need guidance on selecting appropriate software tools for LHRD applications.
- Further research is needed to address open needs in LHRD software frameworks.
- This survey provides a foundation for future LHRD software development and research.
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