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A novel fuzzy matching model for lithography hotspot detection
Conference paper

A novel fuzzy matching model for lithography hotspot detection

Sheng-Yuan Lin, Jing-Yi Chen, Jin-Cheng Li, Wan-Yu Wen and Shih-Chieh Chang
Proceedings - Design Automation Conference, 68
2013

Abstract

Design for manufacturability Fuzzy matching Hotspot detection Lithography hotspot Machine learning
In advanced IC manufacturing, as the gap between lithography optical wavelength and feature size increases, it becomes challenging to detect problematic layout patterns called lithography hotspot. In this paper, we propose a novel fuzzy matching model which can dynamically tune appropriate fuzzy regions around known hotspots. Based on this model, we develop a fast algorithm for lithography hotspot detection with very low chances of false-alarm. Our results are very encouraging with under 0.56 CPU-hrs/mm 2 runtime. Copyright © 2013 ACM.

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