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dc.contributor.advisorPark, Nohpill
dc.contributor.authorFeng, Tao
dc.date.accessioned2013-11-26T08:21:40Z
dc.date.available2013-11-26T08:21:40Z
dc.date.issued2006-12
dc.identifier.urihttps://hdl.handle.net/11244/6487
dc.description.abstractScope and Method of Study: Wave pipeline is one of the revolutionary technologies beyond conventional pipeline in the microprocessor architecture research area. Clockless wave pipeline is the cutting-edge and innovative pipeline without relying on clock signal. Due to the stringent requirement for high density and performance of current VLSI technology, reliability is being considered as one of the most crucial issues. Reliability modeling and optimization techniques have been applied extensively. Clock frequency is one of the keys to achieve the fast circuit speed. A clock cycle time optimization and analysis method is proposed in order to achieve a ultra high clock frequency in the context of the proposed new wave pipeline.
dc.description.abstractFindings and Conclusions: The reliability-driven design and optimization techniques for the clockless wave pipeline are proposed. It is mainly focused on the two parts, i.e., request signal and datawave. A more aggressive technology beyond wave pipeline with ultra-high throughput and speed towards maximum circuit frequency is mainly proposed, analyzed, simulated, and verified.
dc.formatapplication/pdf
dc.languageen_US
dc.rightsCopyright is held by the author who has granted the Oklahoma State University Library the non-exclusive right to share this material in its institutional repository. Contact Digital Library Services at lib-dls@okstate.edu or 405-744-9161 for the permission policy on the use, reproduction or distribution of this material.
dc.titleStudy on the maximum speed and reliability assurance in wave pipeline-based combinational circuits
dc.contributor.committeeMemberGeorge, K. M.
dc.contributor.committeeMemberSarangan, Venkatesh
dc.contributor.committeeMemberFan, Guoliang
osu.filenameFeng_okstate_0664D_2128.pdf
osu.accesstypeOpen Access
dc.type.genreDissertation
dc.type.materialText
thesis.degree.disciplineComputer Science
thesis.degree.grantorOklahoma State University


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