Parallel visualization on leadership computing resources

T. Peterka, R. B. Ross, H. W. Shen, K. L. Ma, W. Kendall, Hongfeng Yu

Research output: Contribution to journalConference article

5 Citations (Scopus)

Abstract

Changes are needed in the way that visualization is performed, if we expect the analysis of scientific data to be effective at the petascale and beyond. By using similar techniques as those used to parallelize simulations, such as parallel I/O, load balancing, and effective use of interprocess communication, the supercomputers that compute these datasets can also serve as analysis and visualization engines for them. Our team is assessing the feasibility of performing parallel scientific visualization on some of the most powerful computational resources of the U.S. Department of Energy's National Laboratories in order to pave the way for analyzing the next generation of computational results. This paper highlights some of the conclusions of that research.

Original languageEnglish (US)
Article number012088
JournalJournal of Physics: Conference Series
Volume180
Issue number1
DOIs
StatePublished - Jan 1 2009

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scientific visualization
leadership
supercomputers
engines
resources
communication
simulation
energy

ASJC Scopus subject areas

  • Physics and Astronomy(all)

Cite this

Parallel visualization on leadership computing resources. / Peterka, T.; Ross, R. B.; Shen, H. W.; Ma, K. L.; Kendall, W.; Yu, Hongfeng.

In: Journal of Physics: Conference Series, Vol. 180, No. 1, 012088, 01.01.2009.

Research output: Contribution to journalConference article

Peterka, T. ; Ross, R. B. ; Shen, H. W. ; Ma, K. L. ; Kendall, W. ; Yu, Hongfeng. / Parallel visualization on leadership computing resources. In: Journal of Physics: Conference Series. 2009 ; Vol. 180, No. 1.
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