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LDAV 2013: Atlanta, Georgia, USA
- Berk Geveci, Hanspeter Pfister, Venkatram Vishwanath:
IEEE Symposium on Large-Scale Data Analysis and Visualization, LDAV 2013, 13-14 October, 2013, Atlanta, Georgia, USA. IEEE Computer Society 2013, ISBN 978-1-4799-1659-7
Keynote
- Guy Lebanon:
Keynote address: Visualizing and modeling ranked data.
Interacting with Large-Scale Graphs and Particles
- Cornelius Müller, David Camp, Bernd Hentschel, Christoph Garth
:
Distributed parallel particle advection using work requesting. 1-6 - William Hendrix, Diana Palsetia, Md. Mostofa Ali Patwary, Ankit Agrawal
A scalable algorithm for single-linkage hierarchical clustering on distributed-memory architectures. 7-13 - Chun-Ming Chen, Han-Wei Shen:
Graph-based seed scheduling for out-of-core FTLE and pathline computation. 15-23
Exploiting Parallelism for Visualization and Analysis
- Christopher M. Sewell, Li-Ta Lo, James P. Ahrens
Portable data-parallel visualization and analysis in distributed memory environments. 25-33 - Nick Leaf, Venkatram Vishwanath, Joseph A. Insley, Mark Hereld, Michael E. Papka
Efficient parallel volume rendering of large-scale adaptive mesh refinement data. 35-42 - Thomas Fogal, Alexander Schiewe, Jens H. Krüger:
An analysis of scalable GPU-based ray-guided volume rendering. 43-51
Immersive and In situ Visualization of Large Data
- Benjamin Lorendeau, Yvan Fournier, Alejandro Ribés
In-Situ visualization in fluid mechanics using Catalyst: A case study for Code Saturne. 53-57 - Khairi Reda, Aaron Knoll, Ken-ichi Nomura, Michael E. Papka
Visualizing large-scale atomistic simulations in ultra-resolution immersive environments. 59-65 - Matthieu Dorier
Damaris/Viz: A nonintrusive, adaptable and user-friendly in situ visualization framework. 67-75
Foundational Techniques for Large and Complex Data
- David C. Thompson, Janine Bennett, C. Seshadhri, Ali Pinar:
A provably-robust sampling method for generating colormaps of large data. 77-84 - Patrick Gralka, Sebastian Grottel, Guido Reina
Application-specific compression of large MD data preserving physical characteristics. 85-93 - Thomas Kraft, Derek Xiaoyu Wang, Jeffrey Delawder, Wenwen Dou, Yu Li, William Ribarsky:
Less After-the-Fact: Investigative visual analysis of events from streaming twitter. 95-103 - Ryan Hafen, Luke J. Gosink, Jason E. McDermott
Trelliscope: A system for detailed visualization in the deep analysis of large complex data. 105-112
Posters
- Xiaodi Huang
Filtering edge for exploration of large graphs. 115-116 - Liang Zhou, Charles D. Hansen:
Interactive rendering and efficient querying for large multivariate seismic volumes on consumer level PCs. 117-118 - Winston Lee, Arun Kejariwal, Bryce Yan:
Chiffchaff: Observability and analytics to achieve high availability. 119-120 - Chongke Bi, Kenji Ono, Kwan-Liu Ma, Haiyuan Wu, Toshiyuki Imamura:
Proper orthogonal decomposition based parallel compression for visualizing big data on the K computer. 121-122 - Ling Huang:
Visual analysis on online display advertising data. 123-124 - Abon Chaudhuri, Teng-Yok Lee
Efficient range distribution query in large-scale scientific data. 125-126 - Omar ElTayeby
Comparative case study between D3 & Highcharts on Lustre metadata visualization. 127-128 - Li Liu, Sedat Ozer, Karen G. Bemis
An interactive method for activity detection visualization. 129-130 - Jay Takle, Deborah Silver, Eve Kovacs, Katrin Heitmann:
Visualization of multivariate dark matter halos in cosmology simulations. 131-132 - Bhuvaneswari Arunachalan, Sara Diamond, Anne Stevens, Borzu Talaie, Maziar Ghaderi:
Visualization of residents in long-term care centres through mobile natural user interfaces (NUI). 133-134
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