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Scientists open their eyes
to visualization's potential

Posted June 3, 2009

Science and engineering, long reliant on abstract symbols, graphs and models to represent the real world, can now also step through the looking glass.

Computers can construct and display mirror images of increasingly detailed pieces of nature in action, generating visual understanding that can rival observation, all in a virtual world where the discoveries seem very real. But there is a caveat. As the saying goes, seeing is believing, so scientists must take extra care to remember that all simulations include some degree of error and uncertainty.

Visualization uses images to promote understanding and communication. From the scout for a prehistoric hunting party scratching a herd's location in the dirt to a team of astrophysicists animating a star’s explosion in 3-D, expressing abstract ideas through visual metaphors seems innately human.

“I’m certainly biased, but my view is that visualization is really part of the thinking process,” says Chris Johnson, director of the Scientific Computing and Imaging (SCI) Institute at the University of Utah. ’We are very visual creatures. More than half our brains are used for some sort of image processing. When I think of visualization, I really think of visual data analysis or visual thinking.”

Golden Age of Scientific Visualization
Computer scientist Chris Johnson narrates this overview. This and other visualizations illustrating this article were among those selected as favorites during a screening night at 2008's SciDAC meeting in Seattle. Argonne National Laboratory’s Mike Papka and Los Alamos National Laboratory’s Jim Ahrens organized the event, which will be held again in June at SciDAC ’09 in San Diego.
(University of Utah/VACET)

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Feature showcases projects, people, and developments that shape scientific computing.


 

Contact

E. Wes Bethel
Lawrence Berkeley National Laboratory
ewbethel@lbl.gov

 

Chris Johnson
University of Utah
crj@sci.utah.edu

 

Michael Crowley
National Renewable Energy Laboratory
Michael.Crowley@nrel.gov

 

Kwan-Liu Ma
University of California, Davis
ma@cs.ucdavis.edu

 


RELATED LINKS

VACET

SciDAC Institute for Ultrascale Visualization

LBNL Visualization Group

SCI Institute

SciDAC

 


ADDITIONAL INFORMATION

SciDAC Review: Seeing the Unseeable

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