• 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