Sunday, October 13, 2013 (starts at 2 PM)
2:00 2:25   LDAV opening remarks    
2:25 2:30 Papers Day 1 Fast Forward    
2:30 3:45 Keynote Dr. Guy Lebanon, Amazon & Georgia Tech.    
3:45 4:15 Break      
4:15 5:45 Papers Dealing with Large-Scale Graphs and Particles  Chair: Pat Crossno  
      Distributed Parallel Particle Advection using Work Requesting, Cornelius Müller, 
David Camp, 
Bernd Hentschel, 
Christoph Garth  
      A Scalable Algorithm for Single-Linkage Hierarchical Clustering on Distributed-Memory Architectures William Hendrix, Diana Palsetia, Mostofa Patwary, 
Ankit Agrawal, 
Wei-keng Liao, Alok Choudhary  
      Graph-based Seed Scheduling for Out-of-core FTLE and Pathline Computation Chun-Ming Chen, 
Han-Wei Shen  
5:45 6:00 Posters Fast Forward    
6:00 8:00   Symposium Reception and Poster Session  
Monday, October 14, 2013 (starts at 8:30 AM)
8:30 8:45 Papers Day 2 Fast Forward    
8:45 10:15 Papers Exploiting Parallelism for Visualization and Analysis Chair: Won-Ki Jeong  
      Portable Data-Parallel Visualization and Analysis in Distributed Memory Environments Christopher Sewell, Li-ta Lo, James Ahrens  
      Efficient Parallel Volume Rendering of Large-Scale Adaptive Mesh Refinement Data Nick Leaf, 
Venkatram Vishwanath, 
Joseph Insley, Mark Hereld, 
Michael Papka, 
Kwan-Liu Ma  
      An Analysis of Scalable GPU-Based Ray-Guided Volume Rendering Thomas Fogal, Alexander Schiewe, Jens Krueger  
10:15 10:30   Break    
10:30 12:00 Papers Immersive and In situ Visualization of Large Data Chair: Johanna Beyer  
      In Situ visualization in fluid mechanics using Catalyst: A case study for Code_Saturne Benjamin Lorendeau, Yvan Fournier, Alejandro Ribes  
      Visualizing Large-Scale Atomistic Simulations in Ultra-Resolution Immersive Environments Khairi Reda, 
Aaron Knoll, 
Ken-ichi Nomura, Michael Papka, 
Andrew Johnson, Jason Leigh  
      Damaris/Viz: a Nonintrusive, Adaptable and User-Friendly In Situ Visualization Framework Matthieu Dorier, Roberto Sisneros, Tom Peterka, Gabriel Antoniu, Dave Semeraro  
12:00 2:00 Break      
2:00 3:30 Papers Foundational Techniques for Large and Complex Data Chair: Han-Wei Shen  
      A Provably-Robust Sampling Method for Generating Colormaps of Large Data David Thompson, 
C. Seshadhri, Ali Pinar, Janine Bennett  
      Application-Specific Compression of Large MD Data Preserving Physical Characteristics Patrick Gralka, Sebastian Grottel, Guido Reina, Thomas Ertl  
      Less After the Fact: Investigative Visual Analysis of Events from Streaming Twitter Thomas Kraft, Xiaoyu Wang,
Jeffery Delawder,
Wenwen Dou, Li Yu, 
William Ribarsky  
3:30 4:15   Break    
4:15 4:45 Papers Foundational Techniques for Large and Complex Data (Contd.)    
      Trelliscope: A System for Detailed Visualization in the Deep Analysis of Large Complex Data Ryan Hafen, Luke Gosink, William Cleveland,
Jason McDermott,
Karin Rodland,
Kerstin Kleese-Van Dam  
4:45 5:30   LDAV Awards and Closing