完整後設資料紀錄
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dc.contributor.authorWu, Po-Hsunen_US
dc.contributor.authorLin, Mark Po-Hungen_US
dc.contributor.authorChen, Tung-Chiehen_US
dc.contributor.authorYeh, Ching-Fengen_US
dc.contributor.authorLi, Xinen_US
dc.contributor.authorHo, Tsung-Yien_US
dc.date.accessioned2015-07-21T08:29:18Z-
dc.date.available2015-07-21T08:29:18Z-
dc.date.issued2015-02-01en_US
dc.identifier.issn0278-0070en_US
dc.identifier.urihttp://hdl.handle.net/11536/124196-
dc.description.abstractAnalog layout design has been a manual, time-consuming, and error-prone task for decades. To speed up layout design time for a new design, analog layout designers prefer referring to legacy designs and layouts rather than starting from scratch, or thoroughly applying placement and routing tools because legacy layouts contain pretty much design expertise. Motivated by such layout design process, this paper presents the first knowledge-based physical synthesis methodology to generate new layouts by integrating existent design expertise. The proposed approach can automatically analyze legacy design data including circuits, layouts, and constraints, extract matched sub-circuits between new and legacy designs, and generate multiple layouts for the new design by utilizing the quality-approved legacy layouts as much as possible. Experimental results show that the proposed methodology can achieve high layout reusage rate, and hence the designers\' layout preference can be successfully reserved.en_US
dc.language.isoen_USen_US
dc.subjectAnalog layouten_US
dc.subjectdesign patternen_US
dc.subjectknowledge miningen_US
dc.subjectmigrationen_US
dc.subjectphysical designen_US
dc.subjectplacementen_US
dc.subjectroutingen_US
dc.titleA Novel Analog Physical Synthesis Methodology Integrating Existent Design Expertiseen_US
dc.typeArticleen_US
dc.identifier.journalIEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMSen_US
dc.citation.volume34en_US
dc.citation.spage199en_US
dc.citation.epage212en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000348229600004en_US
dc.citation.woscount0en_US
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