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dc.contributor.advisorArvind.en_US
dc.contributor.authorCuller, David Een_US
dc.contributor.otherMassachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.en_US
dc.date.accessioned2005-08-09T17:57:19Z
dc.date.available2005-08-09T17:57:19Z
dc.date.copyright1989en_US
dc.date.issued1989en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/14511
dc.descriptionThesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1989.en_US
dc.descriptionVita.en_US
dc.descriptionIncludes bibliographical references (leaves 227-233).en_US
dc.description.statementofresponsibilityby David E. Culler.en_US
dc.format.extent234 leavesen_US
dc.format.extent17992139 bytes
dc.format.extent17991898 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypeapplication/pdf
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582
dc.subjectElectrical Engineering and Computer Science.en_US
dc.titleManaging parallelism and resources in scientific dataflow programsen_US
dc.typeThesisen_US
dc.description.degreePh.D.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.identifier.oclc20770381en_US


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