• DocumentCode
    726344
  • Title

    Mask assignment and synthesis of DSA-MP hybrid lithography for sub-7nm contacts/vias

  • Author

    Badr, Yasmine ; Torres, Andres ; Gupta, Puneet

  • Author_Institution
    Electr. Eng. Dept., Univ. of California, Los Angeles, Los Angeles, CA, USA
  • fYear
    2015
  • fDate
    8-12 June 2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Integrating Directed Self Assembly (DSA) and Multiple Patterning (MP) is an attractive option for printing contact and via layers for sub-7nm process nodes. In the DSA-MP hybrid process, an optimized decomposition algorithm is required to perform the MP mask assignment while considering the DSA advantages and limitations. In this paper, we present an optimal Integer Linear Programming (ILP) formulation for the simultaneous DSA grouping and MP decomposition problem for contacts and vias. Then we propose a heuristic and develop an efficient algorithm for solving the same problem. In comparison to the optimal ILP results, the proposed algorithm is 197x faster and results in 16.3% more violations. The proposed algorithm produces 56% fewer violations than the sequential approaches which perform DSA grouping followed by MP decomposition and vice versa.
  • Keywords
    decomposition; integer programming; linear programming; nanolithography; nanopatterning; self-assembly; vias; DSA grouping; DSA-MP hybrid lithography; DSA-MP hybrid process; ILP formulation; MP decomposition problem; MP mask assignment; contact layers; decomposition algorithm; directed self assembly; multiple patterning; optimal integer linear programming; via layers; Algorithm design and analysis; Assembly; Heuristic algorithms; Integer linear programming; Layout; Lithography; Ultraviolet sources; DSA; Decomposition; Directed Self Assembly; MP; Moore´s Law; Multiple Patterning; Technology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Design Automation Conference (DAC), 2015 52nd ACM/EDAC/IEEE
  • Conference_Location
    San Francisco, CA
  • Type

    conf

  • DOI
    10.1145/2744769.2744868
  • Filename
    7167254