This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
The Top 10 Challenges in Extreme-Scale Visual Analytics
July-Aug. 2012 (vol. 32 no. 4)
pp. 63-67
Pak Chung Wong, Pacific Northwest National Laboratory
Han-Wei Shen, Ohio State University
Christopher R. Johnson, University of Utah
Chaomei Chen, Drexel University
Robert B. Ross, Argonne National Laboratory
A team of scientists and researchers discusses the top 10 challenges in extreme-scale visual analytics (VA). The discussion covers applying VA technologies to both scientific and nonscientific data, evaluating the problems and challenges from both technical and social perspectives.

1. P.C. Wong and J. Thomas, “Visual Analytics,” IEEE Computer Graphics and Applications, vol. 24, no. 5, 2004, pp. 20–21.
2. J.J. Thomas and K.A. Cook eds., Illuminating the Path—, the Research and Development Agenda for Visual Analytics, IEEE CS, 2005.
3. B. Swanson, “The Coming Exaflood,” The Wall Street J.,20 Jan. 2007; www.discovery.org/a3869.
4. P.C. Wong, H.-W. Shen, and C. Chen, “Top Ten Interaction Challenges in Extreme-Scale Visual Analytics,” Expanding the Frontiers of Visual Analytics and Visualization, J. Dill et al., eds., Springer, 2012, pp. 197–207.
5. “ASCR Research: Scientific Discovery through Advanced Computing (SciDAC),” US Dept. of Energy, 15 Feb. 2012; http://science.energy.gov/ascr/researchscidac .
6. C. Johnson, and R. Ross, Visualization and Knowledge Discovery: Report from the DOE/ASCR Workshop on Visual Analysis and Data Exploration at Extreme Scale, US Dept. of Energy, Oct. 2007; http://science.energy.gov/~/media/ascr/pdf/ program-documents/docsDoe_visualization_report_2007.pdf .
1. P.C. Wong, H.-W. Shen, and C. Chen, “Top Ten Interaction Challenges in Extreme-Scale Visual Analytics,” Expanding the Frontiers of Visual Analytics and Visualization, J. Dill et al., eds., Springer, 2012, pp. 197–207.
2. S. Ashby et al., , The Opportunities and Challenges of Exascale Computing—Summary Report of the Advanced Scientific Computing Advisory Committee (ASCAC) Subcommittee, US Dept. of Energy Office of Science, 2010; http://science.energy.gov/~/media/ascr/ascac/ pdf/reportsExascale_subcommittee_report.pdf .

Index Terms:
Visual analytics,Large-scale systems,high-performance computing,Visual analytics,Large-scale systems,computer graphics,extreme-scale visual analytics,visual analytics,large-data visualization,interaction,user interfaces
Citation:
Pak Chung Wong, Han-Wei Shen, Christopher R. Johnson, Chaomei Chen, Robert B. Ross, "The Top 10 Challenges in Extreme-Scale Visual Analytics," IEEE Computer Graphics and Applications, vol. 32, no. 4, pp. 63-67, July-Aug. 2012, doi:10.1109/MCG.2012.87
Usage of this product signifies your acceptance of the Terms of Use.