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ORCID14th LDAV 2024: St Pete Beach, FL, USA
- 14th IEEE Symposium on Large Data Analysis and Visualization, LDAV 2024, St Pete Beach, FL, USA, October 13, 2024. IEEE 2024, ISBN 979-8-3315-1692-5
- Johanna Beyer, Steffen Frey, Guido Reina, Silvio Rizzi, Gunther H. Weber, Soumya Dutta, Nicole Marsaglia, Peer-Timo Bremer, Kenneth Moreland, Kristi Potter, Julien Tierny, Chaoli Wang, Hongfeng Yu:
IEEE LDAV 2024 Preface. vii - Aashish Panta, Xuan Huang, Nina McCurdy, David Ellsworth, Amy Ashurst Gooch, Giorgio Scorzelli, Hector Torres, Patrice Klein, Gustavo Ovando-Montejo, Valerio Pascucci:
Web-based Visualization and Analytics of Petascale data: Equity as a Tide that Lifts All Boats. 1-11 - Stephan Olbrich, Andreas Beckert, Cécile Michel, Christian Schroer, Samaneh Ehteram, Andreas Schropp, Philipp Paetzold:
Efficient Analysis and Visualization of High-Resolution Computed Tomography Data for the Exploration of Enclosed Cuneiform Tablets. 12-22 - Ingo Wald, Stefan Zellmann, Jefferson Amstutz, Qi Wu, Kevin S. Griffin, Milan Jaros, Stefan Wesner:
Standardized Data-Parallel Rendering Using ANARI. 23-32 - Jianxin Sun, David Lenz, Hongfeng Yu, Tom Peterka:
Adaptive Multi-Resolution Encoding for Interactive Large-Scale Volume Visualization through Functional Approximation. 33-42 - Luca Reichmann, David Hägele, Daniel Weiskopf:
Out-of-Core Dimensionality Reduction for Large Data via Out-of-Sample Extensions. 43-53 - Michael Will, Jonas Lukasczyk, Julien Tierny, Christoph Garth:
Distributed Path Compression for Piecewise Linear Morse-Smale Segmentations and Connected Components. 54-64 - Jaeuk Lee, Jisu Kim, Hyunwoo Han, Kyungwon Lee:
A Customized Validator Recommender System for PoS Networks Using Similarity-Based Circular Visualization. 65-66 - Fabien Vivodtzev, Florent Nauleau, Jean-Philippe Braeunig, Julien Tierny:
Identifying Locally Turbulent Vortices within Instabilities. 67-68 - Victor A. Mateevitsi, Andres Sewell, Mathis Bode, Paul F. Fischer, Jens Henrik Göbbert, Joseph A. Insley, Ioannis Kavroulakis, Damaskinos Konioris, Yu-Hsiang Lan, Misun Min, Dimitrios Papageorgiou, Michael E. Papka, Steve Petruzza, Silvio Rizzi, Ananias Tomboulides:
Visuals on the House: Optimizing HPC Workflows with No-Cost CPU Visualization. 69-70 - Colleen Heinemann, Jefferson Amstutz, Joseph A. Insley, Victor A. Mateevitsi, Michael E. Papka, Silvio Rizzi:
Graphical Representation Through a User Interface for In Situ Scientific Visualization with Ascent. 71-72 - Andres Sewell, Landon Dyken, Victor A. Mateevitsi, Will Usher, Jefferson Amstutz, Thomas Marrinan, Khairi Reda, Silvio Rizzi, Joseph A. Insley, Michael E. Papka, Sidharth Kumar, Steve Petruzza:
High-quality Approximation of Scientific Data using 3D Gaussian Splatting. 73-74 - Idunnuoluwa A. Adeniji, Joseph A. Insley, David Joiner, Victor A. Mateevitsi, Michael E. Papka, Silvio Rizzi:
Exploring Large-Scale Scientific Data in Virtual Reality. 75-76
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