Cinema Publications
If using Cinema in your analysis, please cite the original publication introducing Cinema:
- James Ahrens, Sébastien Jourdain, Patrick O'Leary, John Patchett, David H. Rogers, and Mark Petersen. An image-based approach to extreme scale in situ visualization and analysis. In Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC '14). IEEE Press, Piscataway, NJ, USA, 424-434, 2014. PDF Download / DOI: https://doi.org/10.1109/SC.2014.40 / Bibtex
If using Cinema:Debye-Scherrer in your analysis, please cite the following publication introducing Cinema:Debye-Scherrer:
- Sven C. Vogel, Chris M. Biwer, David H. Rogers, James P. Ahrens, Robert E. Hackenberg, Drew Onken and Jianzhong Zhang. Interactive visualization of multi-dataset Rietveld analyses using Cinema:Debye-Scherrer. J. Appl. Crystallogr. Vol. 51, 2018. PDF Download / DOI 10.1107/S1600576718003989 / Bibtex
Other publications leveraging Cinema databases or using Cinema-based analysis and visualization approaches:
- Pascal Grosset, Christopher Biwer, Jesus Pulido, Arvind Mohan, Ayan Biswas, John Patchett, Terece Turton, David Rogers, Daniel Livescu, James Ahrens. Foresight: Analysis That Matters for Data Reduction 2020 IEEE 10th Symposium on Large Data Analysis and Visualization (LDAV) (2020) PDF Download / DOI: 10.1109/SC41405.2020.00087 / Bibtex
- Petar Hristov, Gunther Weber, Hamish Carr, Oliver Rübel, James Ahrens. Data Parallel Hypersweeps for In Situ Topological Analysis 2020 IEEE 10th Symposium on Large Data Analysis and Visualization (LDAV) (2020) PDF Download /
- Jonas Lukasczyk, Christoph Garth, Matthew Larsen, Wito Engelke, Ingrid Hotz, David Rogers, James Ahrens, Ross Maciejewski. Cinema Darkroom: A Deferred Rendering Framework for Large-Scale Datasets 2020 IEEE 10th Symposium on Large Data Analysis and Visualization (LDAV) (2020) PDF Download /
- Daniel Orban, Divya Banesh, Cameron Tauxe, Christopher M. Biwer, Ayan Biswas, Ramon Saavedra, Christine Sweeney, Richard L. Sandberg, C. A. Bolme, James Ahrens and David Rogers. Cinema:Bandit: a visualization application for beamline science demonstrated on XFEL shock physics experiments. Journal of Synchrotron Radiation (2020) 27, 1-10. PDF Download / DOI: 10.1107/S1600577519014322 / Bibtex
- Terece L. Turton, Divya Banesh, Trinity Overmyer, Benjamin H. Sims, David H. Rogers. Enabling Domain Expertise in Scientific Visualization With CinemaScience. IEEE Computer Graphics and Applications (2020) 40:1 90-98. PDF Download / DOI: 10.1109/MCG.2019.2954171 / Bibtex
- Daniel Orban, Ayan Biswas, James Ahrens and David Rogers. Drag and Track: A Direct Manipulation Interface for Contextualizing Data Instances within a Continuous Parameter Space. IEEE Trans Vis Comput Graph. (2019) 25:1, 256-266. PDF Download / DOI: 10.1109/TVCG.2018.2865051 / Bibtex
- Robin G. C. Maack, David H. Rogers, Hans Hagen, Christina Gillmann. Exploring Cinema Databases using multi-dimensional Image Measures. ILeipzig Symposium on Visualization in Application. (2019) PDF Download / Bibtex
- Divya Banesh, Mark Petersen, Joanne Wendelberger, James Ahrens, and Bernd Hamann. Comparison of piecewise linear change point detection with traditional analytical methods for ocean and climate data. Environ Earth Sci (2019) 78: 623. PDF Download / DOI: 10.1007/s12665-019-8636-y / Bibtex
- Jonas Lukasczyk, Eric Kinner, James Ahrens, Heike Leitte, and Christoph Garth. VOIDGA: A View-Approximation Oriented Image Database Generation Approach. Leipzig Symposium on Visualization In Applications (LEVIA). Leipzig, Germany, 2018. PDF Download / DOI: 10.1109/LDAV.2018.8739204 / Bibtex
- Divya Banesh, Joanne Wendelberger, Mark Petersen, James P. Ahrens, and Bernd Hamann. Change Point Detection for Ocean Eddy Analysis. Workshop on Visualisation in Environmental Sciences (EnvirVis), K. Rink, D. Zeckzer, R. Bujack and S. Janicke, eds., The Eurographics Association, 2018. PDF Download / DOI: 10.2312/envirvis.20181134 / Bibtex
- Roxana Bujack, David H. Rogers, and James Paul Ahrens. Reducing Occlusion in Cinema Databases through Feature-Centric Visualizations. 2018 IEEE 8th Symposium on Large Data Analysis and Visualization (LDAV) Berlin, Germany, 2018. PDF Download / Semantic Scholar Link / Bibtex
- Vignesh Adhinarayanan, Wu-Chun Feng, David H. Rogers, James P. Ahrens, and Scott Pakin. Characterizing and Modeling Power and Energy for Extreme-Scale In-Situ Visualization. 2017 IEEE International Parallel and Distributed Processing Symposium (IPDPS) Orlando, FL, 2017, pp. 978-987. PDF Download / DOI: 10.1109/IPDPS.2017.113 / Bibtex
- Divya Banesh, Joseph A. Schoonover, James P. Ahrens, Bernd Hamann. Extracting, Visualizing and Tracking Mesoscale Ocean Eddies in Two-dimensional Image Sequences Using Contours and Moments. In Workshop on Visualisation in Environmental Sciences (EnvirVis), K. Rink, A. Middel, D. Zeckzer, and R. Bujack, eds., The Eurographics Association, 2017. PDF Download / DOI: 10.2312/envirvis.20171103 / Bibtex
- Jonathan Woodring, James P. Ahrens, John Patchett, Cameron Tauxe, and David H. Rogers. High-dimensional Scientific Data Exploration via Cinema. 2017 IEEE Workshop on Data Systems for Interactive Analysis (DSIA). pp. 1-5, 2017. PDF Download / DOI: 10.1109/DSIA.2017.8339086 / Bibtex
- Anne S. Berres, Terece L. Turton, Mark Petersen, David H. Rogers, James P. Ahrens. Video Compression for Ocean Simulation Image Databases. In Workshop on Visualisation in Environmental Sciences (EnvirVis), K. Rink, A. Middel, D. Zeckzer, and R. Bujack, eds., The Eurographics Association, 2017. PDF Download / DOI:10.2312/envirvis.20171104 / Bibtex
- Patrick O'Leary, James Ahrens, Sébastien Jourdain, Scott Wittenburg, David H. Rogers, and Mark Petersen. Cinema image-based in situ analysis and visualization of MPAS-ocean simulations. Parallel Comput. ,55, C, p 43-48, 2016. PDF Download / DOI: 10.1016/j.parco.2015.10.005 / Bibtex
- Vignesh Adhinarayanan, Wu-Chun Feng, Jonathan Woodring, David H. Rogers and James P. Ahrens. On the Greenness of In-Situ and Post-Processing Visualization Pipelines. 2015 IEEE International Parallel and Distributed Processing Symposium Workshop Hyderabad, 2015, pp. 880-887. PDF Download / DOI: 10.1109/IPDPSW.2015.132 / Bibtex