Sunday, October 23
6:00-7:30 Posters and Reception

Monday, October 24
8:30-8:40 LDAV Workshop Overview
8:40-9:30 Keynote
Keynote Address
Lucy T. Nowell, Office of Advanced Scientific Computing Research, Office of Sciences, U.S. DOE
9:30-10:10 Paper Session I
Visualizing Multiscale Simulation Data: Brain Blood Flow
Leopold Grinberg (Brown University), Joseph Insley (Argonne National Laboratory), Michael Papka (Argonne National Laboratory) [slides]
Towards simulation-time data analysis and I/O acceleration on leadership-class systems
Venkatram Vishwanath, (Argonne National Laboratory) Mark Hereld, (Argonne National Laboratory) Michael Papka, (Argonne National Laboratory) [slides]
10:10-10:30 Break
10:30-12:10 Paper Session II
Atypical Behavior Identification in Large Scale Network Traffic
Daniel Best (Pacific Northwest National Laboratory), Ryan Hafen (Pacific Northwest National Laboratory), Bryan Olsen (Pacific Northwest National Laboratory), William Pike (Pacific Northwest National Laboratory)
Analysis of Large-Scale Scalar Data Using Hixels
David Thompson (Sandia National Laboratories) Joshua Levine (SCI Institute, Univ. of Utah) Janine Bennett (Sandia National Laboratories) Peer-Timo Bremer (Lawrence Berkeley National Laboratory) Attila Gyulassy (University of Utah) Philippe Pebay (Sandia National Laboratories) Valerio Pascucci (University of Utah)
Revisiting Wavelet Copression with JPEG 2000 to Ensure Data Precision for Large-Scale Data
Jonathan Woodring (Los Alamos National Laboratory), James Ahrens (Los Alamos National Laboratory), Susan Mniszewski (Los Alamos National Laboratory), Christopher Brislawn (Los Alamos National Laboratory), David DeMarle (Kitware Inc.)
Histogram Spectra for Multivariate Time-Varying Volume LOD Selection
Steven Martin Ohio State University Han-Wei Shen Ohio State University
12:10-2:00 Lunch
2:00-3:40 Paper Session III
Parallel Clustering for Visualizing Large Scientific Line Data
Jishang Wei (University of California at Davis), Hongfeng Yu (Sandia National Laboratories), Kwan-Liu Ma (University of California at Davis), Jackie Chen (Sandia National Laboratories)
Evaluating the Benefits of An Extended Memory Hierarchy for Parallel Streamline Algorithms
David Camp (University of California at Davis), Hank Childs (Lawrence Berkeley National Laboratory), Amit Chourasia (San Diego Supercomputer Center), Christoph Garth (University of California at Davis), Kenneth Joy (University of California at Davis)
Parallel In Situ Indexing for Data-intensive Computing
Jinoh Kim (Lawrence Berkeley National Laboratory), Hasan Abbasi (University of Tennessee, Knoxville), Luis Chacon (Oak Ridge National Laboratory), Ciprian Docan (Rutgers University), Scott Klasky (Oak Ridge National Laboratory), Qing Liu (Oak Ridge National Laboratory), Norbert Podhorszki (Oak Ridge National Laboratory), Arie Shoshani (Lawrence Berkeley National Laboratory), Kesheng Wu (Lawrence Berkeley National Laboratory)
Incremental, Approximate Database Queries and Uncertainty for Exploratory Visualization
Danyel Fisher (Microsoft Research)
3:40-4:15 Break
4:15-5:55 Paper Session IV
Parallel Visualization on Large Clusters Using MapReduce
Huy Vo Utah/NYU Poly Jonathan Bronson SCI Institute, University of Utah), Brian Summa SCI Institute, University of Utah), Joao Comba Universidade Federal do Rio Grande do Sul), Juliana Freire SCI Institute, University of Utah), Bill Howe Unversity of Washington), Valerio Pascucci University of Utah), Claudio Silva University of Utah)
The ParaView Coprocessing Library: A scalable, general purpose in situ visualization library
Nathan Fabian (Sandia National Laboratories), Kenneth Moreland (Sandia National Laboratories), David Thompson (Sandia National Laboratories), Andy Bauer (Kitware, Inc.), Pat Marion (Kitware Inc.), Berk Geveci (Kitware Inc.), Michel Rasquin (University of Colorado at Boulder), Kenneth Jansen (University of Colorado at Boulder)
Dax Toolkit: A Proposed Framework for Data Analysis and Visualization at Extreme Scale
Utkarsh Ayachit (Kitware Inc.), Kenneth Moreland (Sandia National Laboratories), Berk Geveci (Kitware Inc.), Kwan-Liu Ma (University of California at Davis)
Scalable Parallel Building Blocks for Custom Data Analysis
Tom Peterka (Argonne National Laboratory), Rob Ross (Argonne National Laboratory), Wesley Kendall (University of Tennessee at Knoxville), Attila Gyulassy (University of Utah), Valerio Pascucci (University of Utah), Han-Wei Shen (Ohio State University)
5:55-6:00 Closing