Dr. Kuang-Kuo Lin
Director Foundry Design Enablement
SPIE Involvement:
Author | Instructor
Publications (3)

Proceedings Article | 13 March 2009 Paper
Seung Weon Paek, Dae Hyun Jang, Joo Hyun Park, Naya Ha, Byung-Moo Kim, Hyo Sig Won, Kyu-Myung Choi, Kuang-Kuo Lin, Simon Klaver, Shobhit Malik, Michiel Oostindie, Frank Driessen
Proceedings Volume 7275, 72751M (2009) https://doi.org/10.1117/12.815413
KEYWORDS: Design for manufacturing, Semiconducting wafers, Yield improvement, Manufacturing, Laser induced breakdown spectroscopy, Standards development, Tolerancing, Optimization (mathematics), Optical proximity correction, Silicon

Proceedings Article | 13 March 2009 Paper
Valerio Perez, Shyue Fong Quek, Sky Yeo, Colin Hui, Kuang Kuo Lin, Walter Ng, Michel Cote, Bala Kasthuri, Philippe Hurat, Matt Thompson, Chi-Min Yuan, Puneet Sharma
Proceedings Volume 7275, 72751S (2009) https://doi.org/10.1117/12.816593
KEYWORDS: Calibration, Lithography, Optical proximity correction, Critical dimension metrology, Silicon, Data modeling, Manufacturing, Scattering, Resolution enhancement technologies, Statistical modeling

Proceedings Article | 30 October 2007 Paper
Kuang-Kuo Lin, Ban Wong, Frank Driessen, Etsuya Morita, Simon Klaver
Proceedings Volume 6730, 67300X (2007) https://doi.org/10.1117/12.747021
KEYWORDS: Design for manufacturing, Lithography, Silicon, Scanning electron microscopy, Calibration, Optimization (mathematics), Semiconducting wafers, Optical proximity correction, Model-based design, Semiconductors

Course Instructor
SC989: DfM: Profitable Scaling through Design-Technology Co-Optimization
As the need for dimensional scaling continues to outpace the availability of higher resolution patterning solutions, the role of Design for Manufacturability (DfM) is shifting from providing incremental yield enhancement in 65nm and 45nm to becoming the fundamental technology enabler in 32nm and beyond. In parallel, the marketplace and the end customers are demanding high DfM quality at all design levels, from IP components to full chip. This course will cover the most popular manufacturability analysis techniques and their uses in DfM-enhanced design flows at different design phases. Model-based techniques such as critical area analysis, lithography hotspot detection, and CMP thickness prediction will be contrasted to rules-based techniques such as recommended design rules or enhanced routing rules. Differences between iterative DfM techniques such as process aware layout optimization and prescriptive DfM techniques such as regularized layouts and design aware manufacturing will be discussed. The advantages and challenges of introducing manufacturability knowledge early in the design flow will be compared to those of applying manufacturability considerations late. Finally, the most prominent opportunities for innovation in DfM for technology nodes beyond 65nm will be reviewed.
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