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12 March 2009 Hotspot detection and design recommendation using silicon calibrated CMP model
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Abstract
Chemical Mechanical Polishing (CMP) has been used in the manufacturing process for copper (Cu) damascene process. It is well known that dishing and erosion occur during CMP process, and they strongly depend on metal density and line width. The inherent thickness and topography variations become an increasing concern for today's designs running through advanced process nodes (sub 65nm). Excessive thickness and topography variations can have major impacts on chip yield and performance; as such they need to be accounted for during the design stage. In this paper, we will demonstrate an accurate physics based CMP model and its application for CMP-related hotspot detection. Model based checking capability is most useful to identify highly environment sensitive layouts that are prone to early process window limitation and hence failure. Model based checking as opposed to rule based checking can identify more accurately the weak points in a design and enable designers to provide improved layout for the areas with highest leverage for manufacturability improvement. Further, CMP modeling has the ability to provide information on interlevel effects such as copper puddling from underlying topography that cannot be captured in Design-for- Manufacturing (DfM) recommended rules. The model has been calibrated against the silicon produced with the 45nm process from Common Platform (IBMChartered- Samsung) technology. It is one of the earliest 45nm CMP models available today. We will show that the CMP-related hotspots can often occur around the spaces between analog macros and digital blocks in the SoC designs. With the help of the CMP model-based prediction, the design, the dummy fill or the placement of the blocks can be modified to improve planarity and eliminate CMP-related hotspots. The CMP model can be used to pass design recommendations to designers to improve chip yield and performance.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Colin Hui, Xian Bin Wang, Haigou Huang, Ushasree Katakamsetty, Laertis Economikos, Mohammed Fayaz, Stephen Greco, Xiang Hua, Subramanian Jayathi, Chi-Min Yuan, Song Li, Vikas Mehrotra, Kuang Han Chen, Tamba Gbondo-Tugbawa, and Taber Smith "Hotspot detection and design recommendation using silicon calibrated CMP model", Proc. SPIE 7275, Design for Manufacturability through Design-Process Integration III, 72751R (12 March 2009); https://doi.org/10.1117/12.816556
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