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ORCIDLDAV 2011: Providence, Rhode Island, USA
- David H. Rogers, Cláudio T. Silva:
IEEE Symposium on Large Data Analysis and Visualization, LDAV 2011, Providence, Rhode Island, USA, 23-24 October, 2011. IEEE Computer Society 2012, ISBN 978-1-4673-0156-5
Session 1 - Chair: Peter Lindstrom
- Joseph A. Insley, Leopold Grinberg, Michael E. Papka
:
Visualizing multiscale, multiphysics simulation data: Brain blood flow. 3-7 - Venkatram Vishwanath, Mark Hereld, Michael E. Papka:
Toward simulation-time data analysis and I/O acceleration on leadership-class systems. 9-14
Session 2 - Chair: Huy Vo
- Daniel M. Best, Ryan P. Hafen, Bryan K. Olsen, William A. Pike:
Atypical behavior identification in large-scale network traffic. 15-22 - David C. Thompson, Joshua A. Levine, Janine Bennett, Peer-Timo Bremer, Attila Gyulassy, Valerio Pascucci, Philippe P. Pébay:
Analysis of large-scale scalar data using hixels. 23-30 - Jonathan Woodring, Susan M. Mniszewski, Christopher M. Brislawn, David E. DeMarle, James P. Ahrens:
Revisiting wavelet compression for large-scale climate data using JPEG 2000 and ensuring data precision. 31-38 - Steven Martin, Han-Wei Shen:
Histogram spectra for multivariate time-varying volume LOD selection. 39-46
Session 3 - Chair: Berk Geveci
- Jishang Wei, Hongfeng Yu, Kwan-Liu Ma, Jackie H. Chen:
Parallel clustering for visualizing large scientific line data. 47-55 - David Camp, Hank Childs, Amit Chourasia, Christoph Garth, Kenneth I. Joy:
Evaluating the benefits of an extended memory hierarchy for parallel streamline algorithms. 57-64 - Jinoh Kim, Hasan Abbasi, Luis Chacón, Ciprian Docan, Scott Klasky, Qing Liu, Norbert Podhorszki, Arie Shoshani, Kesheng Wu:
Parallel in situ indexing for data-intensive computing. 65-72 - Danyel Fisher:
Incremental, approximate database queries and uncertainty for exploratory visualization. 73-80
Session 4 - Chair: Hank Childs
- Huy T. Vo, Jonathan Bronson, Brian Summa, João Luiz Dihl Comba, Juliana Freire, Bill Howe, Valerio Pascucci, Cláudio T. Silva:
Parallel visualization on large clusters using MapReduce. 81-88 - Nathan Fabian, Kenneth Moreland, David C. Thompson, Andrew C. Bauer, Patrick Marion, Berk Geveci, Michel E. Rasquin, Kenneth E. Jansen:
The ParaView Coprocessing Library: A scalable, general purpose in situ visualization library. 89-96 - Kenneth Moreland, Utkarsh Ayachit, Berk Geveci, Kwan-Liu Ma:
Dax Toolkit: A proposed framework for data analysis and visualization at Extreme Scale. 97-104 - Tom Peterka, Robert B. Ross, Wesley Kendall, Attila Gyulassy, Valerio Pascucci, Han-Wei Shen, Teng-Yok Lee, Abon Chaudhuri:
Scalable parallel building blocks for custom data analysis. 105-112
Posters
- Chun-Ming Chen, Lijie Xu, Teng-Yok Lee, Han-Wei Shen:
A flow-guided file layout for out-of-core streamline computation. 115-116 - Sedat Ozer, Deborah Silver, Karen G. Bemis, Pino Martin, Jay Takle:
Activity Detection for scientific visualization. 117-118 - Hanqi Guo, He Xiao, Min Lu, Xiaoru Yuan:
Scalable multivariate volume visualization and analysis. 119-120 - Jefferson R. Heard, Richard J. Marciano:
A system for scalable visualization of geographic archival records. 121-122 - Klaus Engel:
CERA-TVR: A framework for interactive high-quality teravoxel volume visualization on standard PCs. 123-124 - A. O. García, Serguei Bourov, Ahmad Hammad, Volker Hartmann, Thomas Jejkal, Jens C. Otte, Sven Pfeiffer, T. Schenker, Christian Schmidt, Patrick Neuberger, Rainer Stotzka, Jos van Wezel, Bernhard Neumair, Achim Streit:
Data-intensive analysis for scientific experiments at the Large Scale Data Facility. 125-126 - Johanna Beyer, Markus Hadwiger, Jens Schneider, Won-Ki Jeong, Hanspeter Pfister:
Distributed terascale volume visualization using distributed shared virtual memory. 127-128 - Steve Holtz, Guillermo Valle, Jessica Howard, Patricia Morreale:
Visualization and pattern identification in large scale time series data. 129-130 - Amina Shabbeer, Cagri Ozcaglar, Bülent Yener, Kristin P. Bennett:
Preserving proximity relations and minimizing edge-crossings in high dimensional graph visualizations. 131-132 - Mark Hereld, Joseph A. Insley, Eric C. Olson, Michael E. Papka, Venkatram Vishwanath, Michael L. Norman, Rick Wagner:
Exploring large data over wide area networks. 133-134 - Selim Ciraci, Jian Yin:
Towards a scalable and reliable real time in-network data analysis infrastructure. 135-136 - Timothy Luciani, Rebecca Hachey, Daniel Q. Oliphant, Brian A. Cherinka, G. Elisabeta Marai:
Pixel-based overlays for navigating a galaxy of observations. 137-138 - Marc Downie, Dylan Enloe, Peter Fox, Eric Ameres, Johannes Goebel, Paul Kaiser, James A. Hendler:
Evolving a rapid prototyping environment for visually and analytically exploring large-scale Linked Open Data. 139-140 - Sangmi Lee Pallickara, Matthew Malensek, Shrideep Pallickara:
Enabling access to timeseries, geospatial data for on-demand visualization. 141-142
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