Publications

2024

1. J. Lukasczyk, M. Will, F. Wetzels, G. H. Weber, and C. Garth. ExTreeM: Scalable Augmented Merge Tree Computation via Extremum Graphs. IEEE Transactions on Visualization and Computer Graphics, vol. 30, no. 1, pp. 1085–1094, 2024. 10.1109/TVCG.2023.3326526

   @article{10290925,
     author = {Lukasczyk, Jonas and Will, Michael and Wetzels, Florian and Weber, Gunther H. and Garth, Christoph},
     journal = {IEEE Transactions on Visualization and Computer Graphics},
     title = {ExTreeM: Scalable Augmented Merge Tree Computation via Extremum Graphs},
     year = {2024},
     volume = {30},
     number = {1},
     pages = {1085-1094},
     keywords = {Topology;Manifolds;Task analysis;Memory management;Data visualization;Classification algorithms;Data analysis;Scalar field topology;merge trees;persistence pairs;high performance computing},
     doi = {10.1109/TVCG.2023.3326526}
   }
   

2021

1. M. Will, Q. Wofford, J. Patchett, D. Rogers, J. Lukasczyk, and C. Garth. Developing and Evaluating In Situ Visualization Algorithms Using Containers. In ISAV’21: In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization, New York, NY, USA: Association for Computing Machinery, 2021, pp. 6–11. 10.1145/3490138.3490141

   @inbook{10.1145/3490138.3490141,
     author = {Will, Michael and Wofford, Quincy and Patchett, John and Rogers, David and Lukasczyk, Jonas and Garth, Christoph},
     title = {Developing and Evaluating In Situ Visualization Algorithms Using Containers},
     year = {2021},
     isbn = {9781450387156},
     publisher = {Association for Computing Machinery},
     address = {New York, NY, USA},
     doi = {10.1145/3490138.3490141},
     booktitle = {ISAV'21: In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization},
     pages = {6-11},
     numpages = {6}
   }
   

   Abstract: Fundamental research into in situ visualization and analysis techniques is difficult to access for visualization researchers due to the overwhelming complexity and effort of constructing and managing in situ software stacks that allow reproducible evaluation of novel in situ visualization and analysis techniques. To address this problem, we describe EZ-ISAV, a work-in-progress towards a framework for easy construction of customizable in situ pipelines in container images. Designed for portability and ease of use, these images are intended to serve as proof-of-concept cases for in situ visualization and analysis research. Furthermore, we describe the EZ-ISAV repository, an open repository of turn-key, ready-made container images that can strongly reduce the overhead of developing and evaluating in situ techniques and provide improved reproducibility and portability of in situ visualization research.

2020

1. H. Childs et al. A Terminology for In Situ Visualization and Analysis Systems. International Journal of High Performance Computing Applications, vol. 34, no. 6, pp. 676–691, Nov. 2020. 10.1177/1094342020935991

   @article{caab+20,
     author = {Childs, Hank and Ahern, Sean D. and Ahrens, James and Bauer, Andrew C. and Bennett, Janine and Bethel, E. Wes and Bremer, Peer-Timo and Brugger, Eric and Cottam, Joseph and Dorier, Matthieu and Dutta, Soumya and Favre, Jean M. and Fogal, Thomas and Frey, Steffen and Garth, Christoph and Geveci, Berk and Godoy, William F. and Hansen, Charles D. and Harrison, Cyrus and Hentschel, Bernd and Insley, Joseph and Johnson, Chris R. and Klasky, Scott and Knoll, Aaron and Kress, James and Larsen, Matthew and Lofstead, Jay and Ma, Kwan-Liu and Malakar, Preeti and Meredith, Jeremy and Moreland, Kenneth and Navr\'{a}til, Paul and O'Leary, Patrick and Parashar, Manish and Pascucci, Valerio and Patchett, John and Peterka, Tom and Petruzza, Steve and Podhorszki, Norbert and Pugmire, David and Rasquin, Michel and Rizzi, Silvio and Rogers, David H. and Sane, Sudhanshu and Sauer, Franz and Sisneros, Robert and Shen, Han-Wei and Usher, Will and Vickery, Rhonda and Vishwanath, Venkatram and Wald, Ingo and Wang, Ruonan and Weber, Gunther H. and Whitlock, Brad and Wolf, Matthew and Yu, Hongfeng and Ziegeler, Sean B.},
     doi = {10.1177/1094342020935991},
     journal = {International Journal of High Performance Computing
     		  Applications},
     month = nov,
     number = {6},
     pages = {676--691},
     title = {{A Terminology for In Situ Visualization and Analysis
     		  Systems}},
     volume = {34},
     year = {2020}
   }
   

2019

1. T. Bin Masood et al. An Overview of the Topology ToolKit. Nykoping, Sweden, Jun. 2019. https://hal.archives-ouvertes.fr/hal-02159838

   @inproceedings{b-mbff+19,
     address = {Nykoping, Sweden},
     author = {Bin Masood, Talha and Budin, Joseph and Falk, Martin and Favelier, Guillaume and Garth, Christoph and Gueunet, Charles and Guillou, Pierre and Hofmann, Lutz and Hristov, Petar and Kamakshidasan, Adhitya and Kappe, Christopher and Klacansky, Pavol and Laurin, Patrick and Levine, Joshua A and Lukasczyk, Jonas and Sakurai, Daisuke and Soler, Maxime and Steneteg, Peter and Tierny, Julien and Usher, Will and Vidal, Jules and Wozniak, Michal},
     booktitle = {{TopoInVis 2019 - Topological Methods in Data Analysis and
     		  Visualization}},
     hal_id = {hal-02159838},
     hal_version = {v3},
     month = jun,
     pdf = {https://hal.archives-ouvertes.fr/hal-02159838v3/file/paper.pdf},
     title = {{An Overview of the Topology ToolKit}},
     url = {https://hal.archives-ouvertes.fr/hal-02159838},
     year = {2019}
   }