DocumentCode
549484
Title
Self-aligned double patterning decomposition for overlay minimization and hot spot detection
Author
Zhang, Hongbo ; Du, Yuelin ; Wong, Martin D F ; Topaloglu, Rasit
Author_Institution
Dept. of ECE, Univ. of Illinois at Urbana-Champaign, Urbana, IL, USA
fYear
2011
fDate
5-9 June 2011
Firstpage
71
Lastpage
76
Abstract
Self-aligned double patterning (SADP) lithography is a promising technology which can reduce the overlay and print 2D features for sub-32nm process. Yet, how to decompose a layout to minimize the overlay and perform hot spot detection is still an open problem. In this paper, we present an algorithm that can optimally solve the SADP decomposition problem. For a decomposable layout, our algorithm guarantees to find a decomposition solution that minimizes overlay. For a non-decomposable layout our algorithm guarantees to find all hot spots. Experimental results validate our method, and decomposition results for Nangate Open Cell Library and larger testcases are also provided with competitive run-times.
Keywords
lithography; masks; SADP decomposition problem; hot spot detection; overlay minimization; print; self-aligned double patterning decomposition; Algorithm design and analysis; Cost function; Geometry; Layout; Manufacturing; Silicon; Tiles; 2D decomposition; ILP; SADP; hot-spot detection; overlay minimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Design Automation Conference (DAC), 2011 48th ACM/EDAC/IEEE
Conference_Location
New York, NY
ISSN
0738-100x
Print_ISBN
978-1-4503-0636-2
Type
conf
Filename
5981704
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