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dc.contributor.advisorKaren Pieper and Arvind.en_US
dc.contributor.authorDong, Wenyan, 1980-en_US
dc.contributor.otherMassachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.en_US
dc.date.accessioned2006-06-19T17:44:46Z
dc.date.available2006-06-19T17:44:46Z
dc.date.copyright2004en_US
dc.date.issued2004en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/33140
dc.descriptionThesis (M. Eng. and S.B.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2004.en_US
dc.descriptionIncludes bibliographical references (leaves 62-63).en_US
dc.description.abstractThis thesis presents a research project on decoder related optimizations in HDL de- signs. The goal of the research is to improve design synthesis quality-of-result, mainly in terms of area; this involves sharing decoders driven by related inputs, and map decoders using fewer number of boolean gates. Algorithms presented in this thesis were implemented in the Presto HDL compiler. A series of tests were conducted using real-world HDL designs in order to determine how effective these optimizations are.en_US
dc.description.statementofresponsibilityby Wenyan Dong.en_US
dc.format.extent63 leavesen_US
dc.format.extent2956534 bytes
dc.format.extent2958300 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.titleImproved handling of the decoding operation in the Presto compileren_US
dc.typeThesisen_US
dc.description.degreeM.Eng.and S.B.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.identifier.oclc62242432en_US


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