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8th LDAV 2018: Berlin, Germany
- 8th IEEE Symposium on Large Data Analysis and Visualization, LDAV 2018, Berlin, Germany, October 21, 2018. IEEE 2018, ISBN 978-1-5386-6873-3
Papers
Session: Uncertain Data
- Annie Preston, Yiran Li, Franz Sauer, Kwan-Liu Ma:
Visual Analysis of Simulation Uncertainty Using Cost-Effective Sampling. 1-11
Session: Data Reduction
- Jonas Lukasczyk, Eric Kinner, James P. Ahrens, Heike Leitte, Christoph Garth:
VOIDGA: A View-Approximation Oriented Image Database Generation Approach. 12-22 - Maxime Soler, Mélanie Plainchault, Bruno Conche, Julien Tierny:
Lifted Wasserstein Matcher for Fast and Robust Topology Tracking. 23-33
Session: Parallelism & Approximation
- Brenton Lessley, Talita Perciano, Colleen Heinemann, David Camp, Hank Childs, E. Wes Bethel:
DPP-PMRF: Rethinking Optimization for a Probabilistic Graphical Model Using Data-Parallel Primitives. 34-44 - Wenbin He, Hanqi Guo, Tom Peterka, Sheng Di, Franck Cappello, Han-Wei Shen:
Parallel Partial Reduction for Large-Scale Data Analysis and Visualization. 45-55 - Kenneth Moreland:
Comparing Binary-Swap Algorithms for Odd Factors of Processes. 56-60 - Tom Peterka, Youssef S. G. Nashed, Iulian R. Grindeanu, Vijay S. Mahadevan, Raine Yeh, Xavier Tricoche:
Foundations of Multivariate Functional Approximation for Scientific Data. 61-71
Session: Fidelity & Interactivity
- Greg Abram, Paul A. Navrátil, Pascal Grossett, David H. Rogers, James P. Ahrens:
Galaxy: Asynchronous Ray Tracing for Large High-Fidelity Visualization. 72-76 - Hyungman Park, Donald S. Fussell, Paul A. Navrátil:
SpRay: Speculative Ray Scheduling for Large Data Visualization. 77-86 - Florian Frieß, Mathias Landwehr, Valentin Bruder, Steffen Frey, Thomas Ertl:
Adaptive Encoder Settings for Interactive Remote Visualisation on High-Resolution Displays. 87-91
Posters
- Joseph Adamo, J. D. Emberson, Edouard B. Brooks, Silvio Rizzi, Joseph A. Insley, Michael E. Papka:
Exploring Visualization Techniques with HACC Simulation Data. 92-93 - Bennett Bernardoni, Nicola J. Ferrier, Joseph A. Insley, Michael E. Papka, Saumil Patel, Silvio Rizzi:
In Situ Visualization and Analysis to Design Large Scale Experiments in Computational Fluid Dynamics. 94-95 - Gyeongcheol Choi, Suhyun Lim, Taerin Yoon, Kyungwon Lee:
Citation Network Visualization of Reference Papers Based on Influence Groups. 96-97 - Hyunwoo Han, Taerin Yoon, Hyoji Ha, Juwon Hong, Kyungwon Lee:
Method for Improving RadViz's Navigation Function Based on Focusing and Filtering. 98-99 - Dirk N. Helmrich, Andrea Schnorr, Torsten W. Kuhlen, Bernd Hentschel:
Complexity Estimation for Feature Tracking Data. 100-101 - Yawei Hui, Byung-Hoon Park, Christian Engelmann:
A Comprehensive Informative Metric for Summarizing HPC System Status. 102-103 - Marius K. Koch, Paul H. J. Kelly, Peter E. Vincent:
Towards In-Situ Vortex Identification for Peta-Scale CFD Using Contour Trees. 104-105 - Yangguang Liao, Hiroaki Matsui, Oliver Kreylos, Louise H. Kellogg:
A Flow Visualization Using Parallel 3D Line Integral Convolution for Large Scale Unstructured Grid Data. 106-107 - Jorji Nonaka, Kenji Ono, Naohisa Sakamoto, Kengo Hayashi, Motohiko Matsuda, Fumiyoshi Shoji, Kentaro Oku, Masahiro Fujita, Kazuma Hatta:
A Large Data Visualization Framework for SPARC64 fx HPC Systems - Case Study: K Computer Operational Environment -. 108-109 - Daniel Orban, Seth Johnson, Hakizumwami Birali Runesha, Lingyu Meng, Bethany Juhnke, Arthur G. Erdman, Francesca Samsel, Daniel F. Keefe:
Comparison of Multiple Large Fluid-Structure Interaction Simulations in Virtual Reality. 110-111
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