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dc.rights.licenseRestricted to current Rensselaer faculty, staff and students. Access inquiries may be directed to the Rensselaer Research Libraries.
dc.contributorCarothers, Christopher D.
dc.contributor.authorFu, Jing
dc.date.accessioned2021-11-03T09:45:27Z
dc.date.available2021-11-03T09:45:27Z
dc.date.created2010-05-28T10:11:02Z
dc.date.issued2010-05
dc.identifier.urihttps://hdl.handle.net/20.500.13015/2953
dc.descriptionMay 2010
dc.descriptionSchool of Science
dc.language.isoENG
dc.publisherRensselaer Polytechnic Institute, Troy, NY
dc.relation.ispartofRensselaer Theses and Dissertations Online Collection
dc.subjectComputer science
dc.titleParallel I/O solutions for large-scale partitioned solver systems
dc.typeElectronic thesis
dc.typeThesis
dc.digitool.pid22634
dc.digitool.pid22635
dc.digitool.pid22637
dc.digitool.pid22636
dc.digitool.pid22638
dc.rights.holderThis electronic version is a licensed copy owned by Rensselaer Polytechnic Institute, Troy, NY. Copyright of original work retained by author.
dc.description.degreeMS
dc.relation.departmentDept. of Computer Science


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