DocumentCode
632787
Title
Keynote speaker: Big data: A scientific visualization perspective
Author
Hansen, Charles
Author_Institution
Comput. Sci., Univ. of Utah, Salt Lake City, UT, USA
fYear
2013
fDate
Feb. 27 2013-March 1 2013
Abstract
Summary form only given. Modern high performance computers have speeds measured in petaflops and handle data set sizes measured in terabytes and petabytes. In the next decade (or less) we will see exascale computational resources. Although these machines offer enormous potential for solving very large-scale realistic computational problems, their effectiveness will hinge upon the ability of human experts to interact with their simulation results and extract useful information. One of the greatest scientific challenges of the 21st century is to effectively understand and make use of the vast amount of information being produced. Visual data analysis will be among our most important tools in helping to understand such large-scale information.
Keywords
data analysis; data visualisation; big data scientific visualization; data set sizes; exascale computational resources; large-scale information; large-scale realistic computational problems; visual data analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Visualization Symposium (PacificVis), 2013 IEEE Pacific
Conference_Location
Sydney, NSW
ISSN
2165-8765
Type
conf
DOI
10.1109/PacificVis.2013.6596119
Filename
6596119
Link To Document