Top Ten Challenges in Extreme-Scale Visual Analytics

Journal Article · Tue May 08 00:00:00 EDT 2012 · IEEE Computer Graphics and Applications

DOI:https://doi.org/10.1109/MCG.2012.87· OSTI ID:1048614

Wong, Pak C; Shen, Han-Wei; Johnson, Christopher R; Chen, Chaomei; Ross, Rob

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.

• Research Organization: Pacific Northwest National Lab. (PNNL), Richland, WA (United States). Environmental Molecular Sciences Lab. (EMSL)
• Sponsoring Organization: USDOE
• DOE Contract Number: AC05-76RL01830
• OSTI ID: 1048614
• Report Number(s): PNNL-SA-85966; 1571; KJ0402000; TRN: US201216%%1047
• Journal Information: IEEE Computer Graphics and Applications, Vol. 32, Issue 4
• Country of Publication: United States
• Language: English

Related Subjects

99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE
ALGORITHMS
COMPUTER GRAPHICS
COMPUTERS
COMPUTER CODES
PROGRAMMING
Environmental Molecular Sciences Laboratory