Occam's razor and petascale visual data analysis

E. W. Bethel, C. Johnson, S. Ahern, J. Bell, P. T. Bremer, H. Childs, E. Cormier-Michel, M. Day, E. Deines, T. Fogal, C. Garth, C. G R Geddes, H. Hagen, B. Hamann, C. Hansen, J. Jacobsen, K. Joy, J. Krüger, J. Meredith, P. MessmerG. Ostrouchov, V. Pascucci, K. Potter, [No Value] Prabhat, D. Pugmire, O. Rübel, A. Sanderson, C. Silva, D. Ushizima, G. Weber, B. Whitlock, K. Wu

Research output: Contribution to journalConference articlepeer-review

Abstract

One of the central challenges facing visualization research is how to effectively enable knowledge discovery. An effective approach will likely combine application architectures that are capable of running on today's largest platforms to address the challenges posed by large data with visual data analysis techniques that help find, represent, and effectively convey scientifically interesting features and phenomena.

Original languageEnglish (US)
Article number012084
JournalJournal of Physics: Conference Series
Volume180
Issue number1
DOIs
StatePublished - 2009

ASJC Scopus subject areas

  • General Physics and Astronomy

Fingerprint

Dive into the research topics of 'Occam's razor and petascale visual data analysis'. Together they form a unique fingerprint.

Cite this