Mask cost reduction with circuit performance consideration for self-aligned double patterning

  • Authors:
  • Hongbo Zhang;Yuelin Du;Martin D. F. Wong;Kai-Yuan Chao

  • Affiliations:
  • University of Illinois at Urbana-Champaign;University of Illinois at Urbana-Champaign;University of Illinois at Urbana-Champaign;Intel Corporation

  • Venue:
  • Proceedings of the 16th Asia and South Pacific Design Automation Conference
  • Year:
  • 2011

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Abstract

Double patterning lithography (DPL) is the enabling technology for printing in sub-32nm nodes. In the EDA literature, researchers have been focusing on double-exposure double-patterning (DEDP) DPL for printing arbitrary 2D features where the layout decomposition problem for double exposure is an interesting graph coloring problem. But due to overlay errors, it is very difficult for DEDP to print even 1D features. A more promising DPL technology is self-aligned double patterning (SADP) for 1D design. SADP first prints dense lines and then trims away the portions not on the design by a cut mask. The complexity of cut mask is very high, adding to the sky-rocketing manufacturing cost. In this paper we present a mask cost reduction method with circuit performance consideration for SADP. This is the first paper to focus on the mask cost reduction issue for SADP from a design perspective. We simplify the polygons on the cut mask, by formulating the problem as a constrained shortest path problem. Experimental results show that with a set of layouts in 28nm technology, we can largely reduce the complexity of cut polygons, with little impact on performance.