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Access and visualization using clusters and other parallel computers

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dc.contributor.author Katz, Daniel S.
dc.contributor.author Bergou, Attila
dc.contributor.author Berriman, Bruce
dc.contributor.author Block, Gary
dc.contributor.author Collier, Jim
dc.contributor.author Curkendall, Dave
dc.contributor.author Good, John
dc.contributor.author Husman, Laura
dc.contributor.author Jacob, Joe
dc.contributor.author Laity, Anastasia
dc.contributor.author Li, Peggy
dc.contributor.author Miller, Craig
dc.contributor.author Plesea, Lucian
dc.contributor.author Prince, Tom
dc.contributor.author Siegel, Herb
dc.contributor.author Williams, Roy
dc.date.accessioned 2006-03-31T23:04:30Z
dc.date.available 2006-03-31T23:04:30Z
dc.date.issued 2003-07-22
dc.identifier.citation Commodity Cluster Symposium, Tyson's Corner, Virginia, July 22, 2003. en
dc.identifier.clearanceno 03-1872
dc.identifier.uri http://hdl.handle.net/2014/38983
dc.description.abstract JPL's Parallel Applications Technologies Group has been exploring the issues of data access and visualization of very large data sets over the past 10 or so years. this work has used a number of types of parallel computers, and today includes the use of commodity clusters. This talk will highlight some of the applications and tools we have developed, including how they use parallel computing resources, and specifically how we are using modern clusters. Our applications focus on NASA's needs; thus our data sets are usually related to Earth and Space Science, including data delivered from instruments in space, and data produced by telescopes on the ground. en
dc.description.sponsorship NASA/JPL en
dc.format.extent 7349618 bytes
dc.format.mimetype application/pdf
dc.language.iso en_US en
dc.publisher Pasadena, CA : Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2003. en
dc.subject data sets en
dc.subject Digital Light Table (DLT) en
dc.title Access and visualization using clusters and other parallel computers en
dc.type Presentation en


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