Optimal modeling fill guide for improved interconnect performance

Chemical mechanical polishing (CMP) planarization process is an important step in fabrication for multi-layer metallization to create and design IC metallization and via interconnections. Fill synthesis methodologies are innovated by inserting dummy fill structures into the surrounding functional in...

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Main Author: Yeo, Joel Yee Kiat
Format: Thesis
Published: 2012
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spelling my-mmu-ep.54012014-03-27T02:43:53Z Optimal modeling fill guide for improved interconnect performance 2012-08 Yeo, Joel Yee Kiat TK7800-8360 Electronics Chemical mechanical polishing (CMP) planarization process is an important step in fabrication for multi-layer metallization to create and design IC metallization and via interconnections. Fill synthesis methodologies are innovated by inserting dummy fill structures into the surrounding functional interconnects to help reduced metal and oxide topography variations which caused by post-CMP planarization effects. In transition to ultra-deep sub-micron (UDSM) design technology nodes, fill synthesis increasingly causing performances impact to the interconnect design due to the parasitic capacitances induced by the dummy fill structures. Meeting CMP density design rules alone are no longer sufficient. Large spacing setbacks between functional interconnects and dummy fill structures are commonly used to minimize parasitic capacitance, however as design scaled further into the nanometer regime, a huge percentage of metal densities are sacrificed and achieving minimum density requirements in certain areas are not possible. A fill synthesis solution is proposed in this thesis to optimize and balance both of the requirements in-between chip performances and yield requirements. 2012-08 Thesis http://shdl.mmu.edu.my/5401/ http://vlib.mmu.edu.my/diglib/login/dlusr/login.php masters Multimedia University Faculty of Engineering
institution Multimedia University
collection MMU Institutional Repository
topic TK7800-8360 Electronics
spellingShingle TK7800-8360 Electronics
Yeo, Joel Yee Kiat
Optimal modeling fill guide for improved interconnect performance
description Chemical mechanical polishing (CMP) planarization process is an important step in fabrication for multi-layer metallization to create and design IC metallization and via interconnections. Fill synthesis methodologies are innovated by inserting dummy fill structures into the surrounding functional interconnects to help reduced metal and oxide topography variations which caused by post-CMP planarization effects. In transition to ultra-deep sub-micron (UDSM) design technology nodes, fill synthesis increasingly causing performances impact to the interconnect design due to the parasitic capacitances induced by the dummy fill structures. Meeting CMP density design rules alone are no longer sufficient. Large spacing setbacks between functional interconnects and dummy fill structures are commonly used to minimize parasitic capacitance, however as design scaled further into the nanometer regime, a huge percentage of metal densities are sacrificed and achieving minimum density requirements in certain areas are not possible. A fill synthesis solution is proposed in this thesis to optimize and balance both of the requirements in-between chip performances and yield requirements.
format Thesis
qualification_level Master's degree
author Yeo, Joel Yee Kiat
author_facet Yeo, Joel Yee Kiat
author_sort Yeo, Joel Yee Kiat
title Optimal modeling fill guide for improved interconnect performance
title_short Optimal modeling fill guide for improved interconnect performance
title_full Optimal modeling fill guide for improved interconnect performance
title_fullStr Optimal modeling fill guide for improved interconnect performance
title_full_unstemmed Optimal modeling fill guide for improved interconnect performance
title_sort optimal modeling fill guide for improved interconnect performance
granting_institution Multimedia University
granting_department Faculty of Engineering
publishDate 2012
_version_ 1747829570909765632