High Performance Cluster And Grid Computing Solutions For Science

dc.contributorKeswani, Umeshkumar Ashoken_US
dc.date.accessioned2008-09-17T23:35:04Z
dc.date.accessioned2011-08-24T21:41:57Z
dc.date.available2008-09-17T23:35:04Z
dc.date.available2011-08-24T21:41:57Z
dc.date.issued2008-09-17T23:35:04Z
dc.date.submittedAugust 2008en_US
dc.description.abstractComputing 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.identifier.urihttp://hdl.handle.net/10106/1077
dc.language.isoENen_US
dc.publisherComputer Science & Engineeringen_US
dc.titleHigh Performance Cluster And Grid Computing Solutions For Scienceen_US
dc.typeM.S.en_US

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