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dc.contributor.advisorArif Rahman and Charles G. Sodini.en_US
dc.contributor.authorPerez, Christopher Een_US
dc.contributor.otherMassachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.en_US
dc.date.accessioned2008-05-19T16:06:46Z
dc.date.available2008-05-19T16:06:46Z
dc.date.copyright2007en_US
dc.date.issued2007en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/41664
dc.descriptionThesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2007.en_US
dc.descriptionIncludes bibliographical references (p. 97-98).en_US
dc.description.abstractIntroduction: As semiconductor technologies become more advanced, process variations within microelectronic devices, including variations in channel length or in oxide thickness, play a much more important role with regards to circuit delay and leakage power dissipation. These process variations cause variability in circuit performance characteristics that can be minimized by improving process control techniques, resulting in more predictable behavior. However, if we are concerned with programmable logic devices like FPGAs affected by variation, the circuit designer in the field has no control over or knowledge about the manner in which process variations affect the device and the final circuit implementation. Our research here is aimed at developing and incorporating process variation models into circuit design and implementation tools for FPGAs. With variation aware tools, programmable logic device users will have the opportunity to produce circuit implementations that are fully optimized for performance given the presence of process variations.en_US
dc.description.statementofresponsibilityby Christopher E. Perez.en_US
dc.format.extent98 p.en_US
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/1721.1/7582en_US
dc.subjectElectrical Engineering and Computer Science.en_US
dc.titleVariation-aware placement tool for Field Programmable Gate Array devicesen_US
dc.title.alternativeprocess variation-aware placement tool for FGPA devicesen_US
dc.typeThesisen_US
dc.description.degreeM.Eng.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.identifier.oclc220913621en_US


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