In the current special issue of IEEE Computer Graphics and Applications (CG&A), researchers share their research and development (R&D) findings and results on applying visual analytics to extreme-scale data. Having surveyed the special issue articles and other related R&D efforts in the area, we have identified what we consider to be the top challenges of extreme-scale visual analytics. To cater to the diverse readership of CG&A, our discussion evaluates challenges in all areas of the field, including algorithms, hardware, software, engineering, and social issues.
Revised: August 13, 2012 |
Published: May 8, 2012
Citation
Wong P.C., H. Shen, C.R. Johnson, C. Chen, and R. Ross. 2012.Top Ten Challenges in Extreme-Scale Visual Analytics.IEEE Computer Graphics and Applications 32, no. 4:63-67.PNNL-SA-85966.doi:10.1109/MCG.2012.87