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10th LDAV 2020: Salt Lake City, UT, USA

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10th IEEE Symposium on Large Data Analysis and Visualization, LDAV 2020, Salt Lake City, UT, USA, October 25, 2020. IEEE 2020, ISBN 978-1-7281-8468-5
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Qi Wu, Tyson Neuroth, Oleg Igouchkine, Aditya Konduri, Jacqueline H. Chen, Kwan-Liu Ma:
DIVA: A Declarative and Reactive Language for in situ Visualization. 1-11
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  - conf/ldav/HristovWCRA20
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Petar Hristov, Gunther H. Weber, Hamish A. Carr, Oliver Rübel, James P. Ahrens:
Data Parallel Hypersweeps for in Situ Topological Analysis. 12-21
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James Kress, Matthew Larsen, Jong Choi, Mark Kim, Matthew Wolf, Norbert Podhorszki, Scott Klasky, Hank Childs, David Pugmire:
Comparing Time-to-Solution for In Situ Visualization Paradigms at Scale. 22-26
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Will Usher, Valerio Pascucci:
Interactive Visualization of Terascale Data in the Browser: Fact or Fiction? 27-36
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Jonas Lukasczyk, Christoph Garth, Matthew Larsen, Wito Engelke, Ingrid Hotz, David H. Rogers, James P. Ahrens, Ross Maciejewski:
Cinema Darkroom: A Deferred Rendering Framework for Large-Scale Datasets. 37-41
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Patrick Gralka, Ingo Wald, Sergej Geringer, Guido Reina, Thomas Ertl:
Spatial Partitioning Strategies for Memory-Efficient Ray Tracing of Particles. 42-52
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Yves Tuyishime, Yu Pan, Hongfeng Yu:
A Distributed Algorithm for Force Directed Edge Bundling. 53-54

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