DOE's SciDAC Visualization and Analytics Center for EnablingTechnologies -- Strategy for Petascale Visual Data Analysis Success
Author(s) -
E. Wes Bethel,
Chris R. Johnson,
Cecilia Aragón,
Oliver Rübel,
Gunther H. Weber,
Valerio Pascucci,
Hank Childs,
PeerTimo Bremer,
Brad Whitlock,
Sean Ahern,
J. Meredith,
George Ostrouchov,
Ken Joy,
Bernd Hamann,
Christoph Garth,
M.J. Cole,
Charles Hansen,
Stephen C. Parker,
Allen R. Sanderson,
Claudio Silva,
Xavier Tricoche
Publication year - 2007
Language(s) - English
Resource type - Reports
DOI - 10.2172/932587
Subject(s) - visualization , petascale computing , visual analytics , usable , computer science , analytics , data science , data visualization , software visualization , research center , software , information visualization , center (category theory) , software analytics , interactive visual analysis , world wide web , data mining , software development , supercomputer , operating system , medicine , software construction , chemistry , pathology , crystallography
The focus of this article is on how one group of researchersthe DOE SciDAC Visualization and Analytics Center for EnablingTechnologies (VACET) is tackling the daunting task of enabling knowledgediscovery through visualization and analytics on some of the world slargest and most complex datasets and on some of the world's largestcomputational platforms. As a Center for Enabling Technology, VACET smission is the creation of usable, production-quality visualization andknowledge discovery software infrastructure that runs on large, parallelcomputer systems at DOE's Open Computing facilities and that providessolutions to challenging visual data exploration and knowledge discoveryneeds of modern science, particularly the DOE sciencecommunity.
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