Data-intensive computing on numerically-insensitive supercomputers

Journal Article · Fri Dec 03 00:00:00 EST 2010

OSTI ID:1043541

Ahrens, James P ^[1]; Fasel, Patricia K ^[1]; Habib, Salman ^[1]; Heitmann, Katrin ^[1]; Lo, Li - Ta ^[1]; Patchett, John M ^[1]; Williams, Sean J ^[1]; Woodring, Jonathan L ^[1]; Wu, Joshua ^[1]; Hsu, Chung - Hsing ^[2]

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1. Los Alamos National Laboratory
2. ONL

With the advent of the era of petascale supercomputing, via the delivery of the Roadrunner supercomputing platform at Los Alamos National Laboratory, there is a pressing need to address the problem of visualizing massive petascale-sized results. In this presentation, I discuss progress on a number of approaches including in-situ analysis, multi-resolution out-of-core streaming and interactive rendering on the supercomputing platform. These approaches are placed in context by the emerging area of data-intensive supercomputing.

• Research Organization: Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
• Sponsoring Organization: USDOE
• DOE Contract Number: AC52-06NA25396
• OSTI ID: 1043541
• Report Number(s): LA-UR-10-08035; LA-UR-10-8035; TRN: US201214%%83
• Country of Publication: United States
• Language: English

Related Subjects

97 MATHEMATICAL METHODS AND COMPUTING
COMPUTER CALCULATIONS
DATA PROCESSING
LANL
SUPERCOMPUTERS