- Algorithmic simplification
- Artistic design
- Data abstraction
- Data structure
- Dataset
- Deployment
- Design methodology
- Evaluation methodology
- Formalism
- Guideline
- Interaction technique
- Lessons from failure
- Mechanism
- New domain and problem
- Performance analysis
- Presentation
- Qualitative empirical finding
- Replication
- Survey
- Task abstraction
- Taxonomy and conceptual model
- Toolkit / Language / Architecture
- Visual data analysis methodology
- Vision
- Visual representation
Performance analysis
analysis of running visualizations and visualization algorithms efficiently on real devices
Example Papers
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Larsen, M., Harrison, C., Kress, J., Pugmire, D., Meredith, J. S., & Childs, H. (2016, November). Performance modeling of in situ rendering. In SC’16: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (pp. 276–287). IEEE.
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Labasan, S., Larsen, M., & Childs, H. (2015, October). Exploring tradeoffs between power and performance for a scientific visualization algorithm. In 2015 IEEE 5th Symposium on Large Data Analysis and Visualization (LDAV) (pp. 73–80). IEEE.
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Di Battista, G., Garg, A., Liotta, G., Tamassia, R., Tassinari, E., & Vargiu, F. (1997). An experimental comparison of four graph drawing algorithms. Computational Geometry, 7(5-6), 303–325.