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Proceedings Paper

The science of visual analysis at extreme scale
Author(s): Lucy T. Nowell
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Paper Abstract

Driven by market forces and spanning the full spectrum of computational devices, computer architectures are changing in ways that present tremendous opportunities and challenges for data analysis and visual analytic technologies. Leadership-class high performance computing system will have as many as a million cores by 2020 and support 10 billion-way concurrency, while laptop computers are expected to have as many as 1,000 cores by 2015. At the same time, data of all types are increasing exponentially and automated analytic methods are essential for all disciplines. Many existing analytic technologies do not scale to make full use of current platforms and fewer still are likely to scale to the systems that will be operational by the end of this decade. Furthermore, on the new architectures and for data at extreme scales, validating the accuracy and effectiveness of analytic methods, including visual analysis, will be increasingly important.

Paper Details

Date Published: 24 January 2011
PDF: 8 pages
Proc. SPIE 7868, Visualization and Data Analysis 2011, 786802 (24 January 2011); doi: 10.1117/12.881434
Show Author Affiliations
Lucy T. Nowell, U.S. Dept. of Energy (United States)


Published in SPIE Proceedings Vol. 7868:
Visualization and Data Analysis 2011
Pak Chung Wong; Jinah Park; Ming C. Hao; Chaomei Chen; Katy Börner; David L. Kao; Jonathan C. Roberts, Editor(s)

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