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Patrick Gralka

M.Sc.

Doctoral Researcher
Visualization Research Center (VISUS)
Weiskopf Group

Contact

+49 711 685 88605
Email

Allmandring 19
70569 Stuttgart
Deutschland
Room: 00.005

Publications

Publications:

2022
1. Frey, Steffen ; Bruder, Valentin ; Frieß, Florian ; Gralka, Patrick ; Rau, Tobias ; Ertl, Thomas ; Reina, Guido: Parameter Adaptation In Situ: Design Impacts and Trade-Offs. In: Childs, H. ; Bennett, J. C. ; Garth, C. (Hrsg.) ; Childs, H. ; Bennett, J. C. ; Garth, C. (Hrsg.): In Situ Visualization for Computational Science, In Situ Visualization for Computational Science. Cham : Springer International Publishing, 2022 — ISBN 978-3-030-81627-8, S. 159--182
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  @inproceedings{frey2022parameter, address = {Cham}, author = {Frey, Steffen and Bruder, Valentin and Frie{\ss}, Florian and Gralka, Patrick and Rau, Tobias and Ertl, Thomas and Reina, Guido}, booktitle = {In Situ Visualization for Computational Science}, doi = {10.1007/978-3-030-81627-8_8}, editor = {Childs, Hank and Bennett, Janine C. and Garth, Christoph}, isbn = {978-3-030-81627-8}, pages = {159--182}, publisher = {Springer International Publishing}, title = {Parameter Adaptation In Situ: Design Impacts and Trade-Offs}, year = 2022 }
2021
1. Schatz, K. ; Müller, C. ; Gralka, P. ; Heinemann, M. ; Straub, A. ; Schulz, C. ; Braun, M. ; Rau, T. ; u. a.: 2019 IEEE Scientific Visualization Contest Winner: Visual Analysis of Structure Formation in Cosmic Evolution. In: IEEE Computer Graphics and Applications (CG&A), IEEE Computer Graphics and Applications (CG&A). Bd. 41 (2021), Nr. 06, S. 101–110
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  BibTeX
  @article{9126163, abstract = {Simulations of cosmic evolution are a means to explain the formation of the universe as we see it today. The resulting data of such simulations comprise numerous physical quantities, which turns their analysis into a complex task. Here, we analyze such high-dimensional and time-varying particle data using various visualization techniques from the fields of particle visualization, flow visualization, volume visualization, and information visualization. Our approach employs specialized filters to extract and highlight the development of so-called active galactic nuclei and filament structures formed by the particles. Additionally, we calculate X-ray emission of the evolving structures in a pre-processing step to complement visual analysis. Our approach is integrated into a single visual analytics framework to allow for analysis of star formation at interactive frame rates. Finally, we lay out the methodological aspects of our work that led to success at the 2019 IEEE SciVis Contest.}, author = {Schatz, K. and Müller, C. and Gralka, P. and Heinemann, M. and Straub, A. and Schulz, C. and Braun, M. and Rau, T. and Becher, M. and Frey, S. and Reina, G. and Sedlmair, M. and Weiskopf, D. and Ertl, T. and Diehl, P. and Marcello, D. and Frank, J. and Müller, T.}, doi = {10.1109/MCG.2020.3004613}, issn = {1558-1756}, journal = {IEEE Computer Graphics and Applications (CG&A)}, month = {11}, number = 06, pages = {101-110}, title = {2019 IEEE Scientific Visualization Contest Winner: Visual Analysis of Structure Formation in Cosmic Evolution}, url = {https://ieeexplore.ieee.org/document/9126163}, volume = 41, year = 2021 }
  Link
  https://ieeexplore.ieee.org/document/9126163
2020
1. Gralka, P. ; Wald, I. ; Geringer, S. ; Reina, G. ; Ertl, T.: Spatial Partitioning Strategies for Memory-Efficient Ray Tracing of Particles. In: 2020 IEEE 10th Symposium on Large Data Analysis and Visualization (LDAV), 2020 IEEE 10th Symposium on Large Data Analysis and Visualization (LDAV), 2020, S. 42–52
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  @inproceedings{gralka2020spatial, author = {{Gralka}, P. and {Wald}, I. and {Geringer}, S. and {Reina}, G. and {Ertl}, T.}, booktitle = {2020 IEEE 10th Symposium on Large Data Analysis and Visualization (LDAV)}, doi = {10.1109/LDAV51489.2020.00012}, pages = {42-52}, title = {Spatial Partitioning Strategies for Memory-Efficient Ray Tracing of Particles}, year = 2020 }
2019
1. Reina, Guido ; Gralka, Patrick ; Ertl, Thomas: A decade of particle-based scientific visualization. In: Holm, C. ; Ertl, T. ; Schmauder, S. ; Kästner, J. ; Groß, J. (Hrsg.) The European Physical Journal (Special Topics), The European Physical Journal (Special Topics). Bd. 227: Particle Methods in Natural Science and Engineering (2019), Nr. 14, S. 1705--1723
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  @article{Reina2019Scivis, abstract = {In this manuscript, we review the evolution of atomistic visualization over the last 12 years and put the development of the community in context with our own efforts within the DFG collaborative research center 716. The goal is to provide a comprehensive summary of all relevant work that has been conducted under the auspices of project D.3. In this project, we focused on the visualization and analysis of particle-based data sets, and on how to bring these visualizations onto the workstation of domain scientists without the need for a large rendering infrastructure. We discuss how our decisions and goals evolved over time and show the success stories and publications. Finally, we give an outlook on the challenges that still require additional research and to which extent the requirements and constraints of current research have changed the way visualization works after these 12 years.}, author = {Reina, Guido and Gralka, Patrick and Ertl, Thomas}, doi = {10.1140/epjst/e2019-800172-4}, editor = {Holm, C. and Ertl, T. and Schmauder, S. and Kästner, J. and Groß, J.}, issn = {1951-6401}, journal = {The European Physical Journal (Special Topics)}, number = 14, pages = {1705--1723}, title = {A decade of particle-based scientific visualization}, url = {https://doi.org/10.1140/epjst/e2019-800172-4}, volume = {227: Particle Methods in Natural Science and Engineering}, year = 2019 }
  Link
  https://doi.org/10.1140/epjst/e2019-800172-4
2. Rau, Tobias ; Gralka, Patrick ; Fernandes, Oliver ; Reina, Guido ; Frey, Steffen ; Ertl, Thomas: The Impact of Work Distribution on in Situ Visualization: A Case Study. In: Proceedings of the Workshop on In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization, Proceedings of the Workshop on In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization. Denver, Colorado : ACM, 2019 — ISBN 978-1-4503-7723-2, S. 17--22
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  @inproceedings{rau2019insitu, acmid = {3364233}, address = {New York, NY, USA}, author = {Rau, Tobias and Gralka, Patrick and Fernandes, Oliver and Reina, Guido and Frey, Steffen and Ertl, Thomas}, booktitle = {Proceedings of the Workshop on In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization}, doi = {10.1145/3364228.3364233}, isbn = {978-1-4503-7723-2}, location = {Denver, Colorado}, numpages = {6}, pages = {17--22}, publisher = {ACM}, series = {ISAV '19}, title = {The Impact of Work Distribution on in Situ Visualization: A Case Study}, url = {http://doi.acm.org/10.1145/3364228.3364233}, year = 2019 }
  Link
  http://doi.acm.org/10.1145/3364228.3364233
3. Bergel, Alexandre ; Bhatele, Abhinav ; Boehme, David ; Gralka, Patrick ; Griffin, Kevin ; Hermanns, Marc-André ; Okanović, Dusan ; Pearce, Olga ; u. a.: Visual Analytics Challenges in Analyzing Calling Context Trees. In: Bhatele, A. ; Boehme, D. ; Levine, J. A. ; Malony, A. D. ; Schulz, M. (Hrsg.) ; Bhatele, A. ; Boehme, D. ; Levine, J. A. ; Malony, A. D. ; Schulz, M. (Hrsg.): Programming and Performance Visualization Tools, Programming and Performance Visualization Tools. Cham : Springer International Publishing, 2019 — ISBN 978-3-030-17872-7, S. 233--249
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  @inproceedings{bergel2019visual, abstract = {Performance analysis is an integral part of developing and optimizing parallel applications for high performance computing (HPC) platforms. Hierarchical data from different sources is typically available to identify performance issues or anomalies. Some hierarchical data such as the calling context can be very large in terms of breadth and depth of the hierarchy. Classic tree visualizations quickly reach their limits in analyzing such hierarchies with the abundance of information to display. In this position paper, we identify the challenges commonly faced by the HPC community in visualizing hierarchical performance data, with a focus on calling context trees. Furthermore, we motivate and lay out the bases of a visualization that addresses some of these challenges.}, address = {Cham}, author = {Bergel, Alexandre and Bhatele, Abhinav and Boehme, David and Gralka, Patrick and Griffin, Kevin and Hermanns, Marc-Andr{\'e} and Okanovi{\'{c}}, Du{\v{s}}an and Pearce, Olga and Vierjahn, Tom}, booktitle = {Programming and Performance Visualization Tools}, editor = {Bhatele, Abhinav and Boehme, David and Levine, Joshua A. and Malony, Allen D. and Schulz, Martin}, isbn = {978-3-030-17872-7}, pages = {233--249}, publisher = {Springer International Publishing}, title = {Visual Analytics Challenges in Analyzing Calling Context Trees}, year = 2019 }
4. Schatz, Karsten ; Müller, Christoph ; Gralka, Patrick ; Heinemann, Moritz ; Straub, Alexander ; Schulz, Christoph ; Braun, Matthias ; Rau, Tobias ; u. a.: Visual Analysis of Structure Formation in Cosmic Evolution. In: 2019 IEEE Scientific Visualization Conference (SciVis), 2019 IEEE Scientific Visualization Conference (SciVis), 2019, S. 33–41
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  @inproceedings{schatz2019visual, abstract = {The IEEE SciVis 2019 Contest targets the visual analysis of structure formation in the cosmic evolution of the universe from when the universe was five million years old up to now. In our submission, we analyze high-dimensional data to get an overview, then investigate the impact of Active Galactic Nuclei (AGNs) using various visualization techniques, for instance, an adapted filament filtering method for detailed analysis and particle flow in the vicinity of filaments. Based on feedback from domain scientists on these initial visualizations, we also analyzed X-ray emissions and star formation areas. The conversion of star-forming gas to stars and the resulting increasing molecular weight of the particles could be observed.}, author = {Schatz, Karsten and Müller, Christoph and Gralka, Patrick and Heinemann, Moritz and Straub, Alexander and Schulz, Christoph and Braun, Matthias and Rau, Tobias and Becher, Michael and Diehl, Patrick and Marcello, Dominic and Frank, Juhan and Müller, Thomas and Frey, Steffen and Reina, Guido and Weiskopf, Daniel and Ertl, Thomas}, booktitle = {2019 IEEE Scientific Visualization Conference (SciVis)}, doi = {10.1109/scivis47405.2019.8968855}, pages = {33-41}, title = {Visual Analysis of Structure Formation in Cosmic Evolution}, url = {http://dx.doi.org/10.1109/scivis47405.2019.8968855}, year = 2019 }
  Link
  http://dx.doi.org/10.1109/scivis47405.2019.8968855
5. Gralka, Patrick ; Becher, Michael ; Braun, Matthias ; Frieß, Florian ; Müller, Christoph ; Rau, Tobias ; Schatz, Karsten ; Schulz, Christoph ; u. a.: MegaMol -- a comprehensive prototyping framework for visualizations. In: The European Physical Journal (Special Topics), The European Physical Journal (Special Topics). Bd. 227: Particle Methods in Natural Science and Engineering (2019), Nr. 14, S. 1817--1829
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  @article{Gralka2019Megamol, abstract = {We present MegaMol, a low-overhead prototyping framework for interactive visualization of large scientific data sets. We give a brief summary of related work for context and then focus on a comprehensive overview of the core architecture of the framework. This is followed by the existing and novel features and techniques in MegaMol that define its current functionality. MegaMol has originally been developed to support the visualization and analysis of particle-based data sets that, for instance, come from molecular dynamics simulations. Meanwhile, the software has evolved beyond that. New algorithms and techniques have been implemented to handle many diverse tasks, including information visualization. Additionally, improvements have been made on the software engineering side to make MegaMol more accessible for domain scientists, like an easy-to-handle scripting interface.}, author = {Gralka, Patrick and Becher, Michael and Braun, Matthias and Frieß, Florian and Müller, Christoph and Rau, Tobias and Schatz, Karsten and Schulz, Christoph and Krone, Michael and Reina, Guido and Ertl, Thomas}, doi = {10.1140/epjst/e2019-800167-5}, issn = {1951-6401}, journal = {The European Physical Journal (Special Topics)}, number = 14, pages = {1817--1829}, title = {MegaMol -- a comprehensive prototyping framework for visualizations}, url = {https://doi.org/10.1140/epjst/e2019-800167-5}, volume = {227: Particle Methods in Natural Science and Engineering}, year = 2019 }
  Link
  https://doi.org/10.1140/epjst/e2019-800167-5
2018
1. Gralka, Patrick ; Grottel, Sebastian ; Staib, Joachim ; Schatz, Karsten ; Karch, Grzegorz Karol ; Hirschler, M. ; Krone, Michael ; Reina, Guido ; u. a.: 2016 IEEE Scientific Visualization Contest Winner: Visual and Structural Analysis of Point-based Simulation Ensembles. In: IEEE Computer Graphics & Applications, IEEE Computer Graphics & Applications. Bd. 38 (2018), Nr. 3, S. 106–117
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  @article{gralka2017sciviscontest2016, author = {Gralka, Patrick and Grottel, Sebastian and Staib, Joachim and Schatz, Karsten and Karch, Grzegorz Karol and Hirschler, M. and Krone, Michael and Reina, Guido and Gumhold, S. and Ertl, Thomas}, doi = {10.1109/MCG.2017.3301120}, journal = {IEEE Computer Graphics & Applications}, number = 3, pages = {106-117}, title = {2016 IEEE Scientific Visualization Contest Winner: Visual and Structural Analysis of Point-based Simulation Ensembles}, volume = 38, year = 2018 }
2017
1. Krone, Michael ; Schatz, Karsten ; Hieronymus, Nora ; Müller, Christoph ; Becher, Michael ; Barthelmes, Tina ; Cooper, April ; Currle, Steffen ; u. a.: From Visualization Research to Public Presentation - Design and Realization of a Scientific Exhibition. In: Proceedings of SIGRAD 2017, Proceedings of SIGRAD 2017, 2017
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  @inproceedings{krone2017sigrad, author = {Krone, Michael and Schatz, Karsten and Hieronymus, Nora and Müller, Christoph and Becher, Michael and Barthelmes, Tina and Cooper, April and Currle, Steffen and Gralka, Patrick and Hlawatsch, Marcel and Pietrzyk, Lisa and Rau, Tobias and Reina, Guido and Trefft, Rene and Ertl, Thomas}, booktitle = {Proceedings of SIGRAD 2017}, title = {From Visualization Research to Public Presentation - Design and Realization of a Scientific Exhibition}, year = 2017 }
2. Gralka, Patrick ; Schulz, Christoph ; Reina, Guido ; Weiskopf, Daniel ; Ertl, Thomas: Visual Exploration of Memory Traces and Call Stacks. In: Proceedings of the IEEE Working Conference on Software Visualization (VISSOFT), Proceedings of the IEEE Working Conference on Software Visualization (VISSOFT) : IEEE, 2017, S. 54–63
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  @inproceedings{Gralka2017Visual, abstract = {Analysis of software performance typically takes into account clock cycles and memory consumption at each sampling point in time. Although this is a valid strategy, we argue that it is also worth investigating data and control flow structures, as observed using memory traces and call stacks, because of their importance for performance engineering. In this work, we present a visual approach to memory profiling that supports analysis of memory layout, access patterns, and aliasing in correlation to program execution. Our method leverages language-agnostic dynamic code instrumentation to minimize the impact of tracing on performance, i.e., the application remains usable on commodity hardware. The profiled data is then clustered and visualized using a density-based scatter plot. If debug symbols are available, the scatter plot is augmented by a flame graph to ease linking to the high-level source code. Our visualization helps software engineers to identify runtime behavior by relating memory addresses to instruction execution. We demonstrate our approach using a set of examples revealing different memory access patterns and discuss their influence on software performance.}, author = {Gralka, Patrick and Schulz, Christoph and Reina, Guido and Weiskopf, Daniel and Ertl, Thomas}, booktitle = {Proceedings of the IEEE Working Conference on Software Visualization (VISSOFT)}, doi = {10.1109/VISSOFT.2017.15}, pages = {54-63}, publisher = {IEEE}, title = {Visual Exploration of Memory Traces and Call Stacks}, url = {https://dx.doi.org/10.1109/VISSOFT.2017.15}, year = 2017 }
  Link
  https://dx.doi.org/10.1109/VISSOFT.2017.15
2013
1. Gralka, Patrick ; Grottel, Sebastian ; Reina, Guido ; Ertl, Thomas: Application-Specific Compression of Large MD Data Preserving Physical Characteristics. In: Proceedings of IEEE Symposium on Large-Scale Data Analysis and Visualization, Proceedings of IEEE Symposium on Large-Scale Data Analysis and Visualization. Bd. 2013, 2013
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  @inproceedings{d6efd81a67194e4a9b55494ab0e777f2, author = {Gralka, Patrick and Grottel, Sebastian and Reina, Guido and Ertl, Thomas}, booktitle = {Proceedings of IEEE Symposium on Large-Scale Data Analysis and Visualization}, title = {Application-Specific Compression of Large MD Data Preserving Physical Characteristics}, url = {http://dx.doi.org/10.1109/LDAV.2013.6675162}, volume = 2013, year = 2013 }
  Link
  http://dx.doi.org/10.1109/LDAV.2013.6675162

Teaching

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Awards

ISAV 2019: Honorable Mention (T. Rau, P. Gralka, O. Fernandes, G. Reina, S. Frey, T. Ertl: "The Impact of Work Distribution on In Situ Visualization: A Case Study")
IEEE VIS 2019: Winner of IEEE SciVis Contest 2019 (K. Schatz, C. Müller, P. Gralka, M. Heinemann, A. Straub, C. Schulz, M. Braun, T. Rau, M. Becher, P. Diehl, D. Marcello, J. Frank, T. Müller, S. Frey, G. Reina, D. Weiskopf, T. Ertl: "Visual Analysis of Structure Formation in Cosmic Evolution")
IEEE VISSOFT 2017: Best Paper Award (P. Gralka, C. Schulz, G. Reina, D. Weiskopf, T. Ertl: "Visual Exploration of Memory Traces and Call Stacks")
IEEE VIS 2016: Winner of IEEE SciVis Contest 2016 (S. Grottel, P. Gralka, J. Staib, K. Schatz, G. K. Karch, M. Hirschler, M. Krone, G. Reina, S. Gumhold, T. Ertl: "Visual and Structural Analysis of Point-based Simulation Ensembles")

Patrick Gralka

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2022

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2021

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2020

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2019

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2018

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2017

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2013

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Patrick Gralka

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Publications

2022

BibTeX

2021

BibTeX

Link

2020

BibTeX

2019

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Link

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BibTeX

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Link

2018

BibTeX

2017

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BibTeX

Link

2013

BibTeX

Link

Teaching

Awards

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