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Issue No.04 - July-Aug. (2012 vol.32)
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.
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
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
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3. B. Swanson, “The Coming Exaflood,” The Wall Street J.,20 Jan. 2007;
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; .
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; program-documents/docsDoe_visualization_report_2007.pdf .
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