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High Performance Cluster And Grid Computing Solutions For Science

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High Performance Cluster And Grid Computing Solutions For Science

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dc.contributor.author Keswani, Umeshkumar Ashok en_US
dc.date.accessioned 2008-09-17T23:35:04Z
dc.date.available 2008-09-17T23:35:04Z
dc.date.issued 2008-09-17T23:35:04Z
dc.date.submitted August 2008 en_US
dc.identifier.other DISS-2189 en_US
dc.identifier.uri http://hdl.handle.net/10106/1077
dc.description.abstract Computing for science has very peculiar requirements. There is an enormous amount of data to analyze to get useful information. This requires greater computing power, huge data storage and high-capacity network. High Performance Computing (HPC) is the perfect solution that satisfies these requirements. Here, we look at two high performance implementations that provide useful solutions to computing problems in science, making possible scientific experiments and discoveries that otherwise would not have been possible. en_US
dc.description.sponsorship Levine, David en_US
dc.language.iso EN en_US
dc.publisher Computer Science & Engineering en_US
dc.title High Performance Cluster And Grid Computing Solutions For Science en_US
dc.type M.S. en_US
dc.contributor.committeeChair Levine, David en_US
dc.degree.department Computer Science & Engineering en_US
dc.degree.discipline Computer Science & Engineering en_US
dc.degree.grantor University of Texas at Arlington en_US
dc.degree.level masters en_US
dc.degree.name M.S. en_US
dc.identifier.externalLink https://www.uta.edu/ra/real/editprofile.php?onlyview=1&pid=197
dc.identifier.externalLinkDescription Link to Research Profiles

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