Publications

2026

1. M. Will, J. Lukasczyk, J. Tierny, A. Gyulassy, G. H. Weber, H. Carr, and C. Garth. Scalable Computation of Topological Abstractions for Scalar Data. Computer Graphics Forum, Jun. 2026. 10.1111/cgf.70497

   @article{Will_2026,
     title = {Scalable Computation of Topological Abstractions for Scalar Data},
     issn = {1467-8659},
     url = {http://dx.doi.org/10.1111/cgf.70497},
     doi = {10.1111/cgf.70497},
     journal = {Computer Graphics Forum},
     publisher = {Wiley},
     author = {Will, M. and Lukasczyk, J. and Tierny, J. and Gyulassy, A. and Weber, G. H. and Carr, H. and Garth, C.},
     year = {2026},
     month = jun
   }
   

2. M. Will, C. Garth, P. Bochev, D. Ridzal, and R. Bujack. A Framework for Robust 2D Interface Reconstruction from Higher-Order Moments. In Proceedings of the 2026 SIAM International Meshing Roundtable, Society for Industrial and Applied Mathematics, 2026, pp. 151–164. 10.1137/1.9781611979138.12

   @inbook{Will_2026a,
     title = {A Framework for Robust 2D Interface Reconstruction from Higher-Order Moments},
     isbn = {9781611979138},
     url = {http://dx.doi.org/10.1137/1.9781611979138.12},
     doi = {10.1137/1.9781611979138.12},
     booktitle = {Proceedings of the 2026 SIAM International Meshing Roundtable},
     publisher = {Society for Industrial and Applied Mathematics},
     author = {Will, Michael and Garth, Christoph and Bochev, Pavel and Ridzal, Denis and Bujack, Roxana},
     year = {2026},
     month = may,
     pages = {151–164}
   }
   

2024

1. M. Will, J. Lukasczyk, J. Tierny, and C. Garth. Distributed Path Compression for Piecewise Linear Morse-Smale Segmentations and Connected Components. In 2024 IEEE 14th Symposium on Large Data Analysis and Visualization (LDAV), Oct. 2024, pp. 54–64. 10.1109/ldav64567.2024.00007

   @inproceedings{Will_2024,
     title = {Distributed Path Compression for Piecewise Linear Morse-Smale Segmentations and Connected Components},
     url = {http://dx.doi.org/10.1109/ldav64567.2024.00007},
     doi = {10.1109/ldav64567.2024.00007},
     booktitle = {2024 IEEE 14th Symposium on Large Data Analysis and Visualization (LDAV)},
     publisher = {IEEE},
     author = {Will, Michael and Lukasczyk, Jonas and Tierny, Julien and Garth, Christoph},
     year = {2024},
     month = oct,
     pages = {54–64}
   }
   

2. 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}
   }
   

3. E. Le Guillou, M. Will, P. Guillou, J. Lukasczyk, P. Fortin, C. Garth, and J. Tierny. TTK is Getting MPI-Ready. IEEE Transactions on Visualization and Computer Graphics, vol. 30, no. 8, pp. 5875–5892, Aug. 2024. 10.1109/tvcg.2024.3390219

   @article{Le_Guillou_2024,
     title = {TTK is Getting MPI-Ready},
     volume = {30},
     issn = {2160-9306},
     url = {http://dx.doi.org/10.1109/tvcg.2024.3390219},
     doi = {10.1109/tvcg.2024.3390219},
     number = {8},
     journal = {IEEE Transactions on Visualization and Computer Graphics},
     publisher = {Institute of Electrical and Electronics Engineers (IEEE)},
     author = {Le Guillou, Eve and Will, Michael and Guillou, Pierre and Lukasczyk, Jonas and Fortin, Pierre and Garth, Christoph and Tierny, Julien},
     year = {2024},
     month = aug,
     pages = {5875–5892}
   }
   

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.