Toward a methodology for manufacturability-driven design rule exploration

  • Authors:
  • L. Capodieci;P. Gupta;A. B. Kahng;D. Sylvester;J. Yang

  • Affiliations:
  • Advanced Micro Devices, Sunnyvale, CA;University of California at San Diego. CA;University of California at San Diego. CA;University of Michigan at Ann Arbor, MI;University of Michigan at Ann Arbor, MI

  • Venue:
  • Proceedings of the 41st annual Design Automation Conference
  • Year:
  • 2004

Quantified Score

Hi-index 0.00

Visualization

Abstract

Resolution enhancement techniques (RET) such as optical proximity correction (OPC) and phase-shift mask (PSM) technology are deployed in modern processes to increase the fidelity of printed features, especially critical dimensions (CD) in polysilicon. Even given these exotic technologies, there has been momentum towards less exibility in layout, in order to ensure printability. However, there has not been a systematic study of the performance and manufacturability impact of such a move towards restrictive design rules. In this paper we present a design ow that evaluates the application of various restricted design rule (RDR) sets in deep submicron ASIC designs in terms of circuit performance and parametric yield. Using such a framework, process and design engineers can identify potential solutions to maximize manufacturability by selectively applying RDRs while maintaining chip performance. In this work we focus attention on the device layer which is the most difficult design layer to manufacture. We quantify the performance, manufacturability and mask cost impact of several common design rules. For instance, we find that small increases in the minimum allowable poly line end extension beyond active provide high levels of immunity to lithographic defocus conditions. Also, modification of the minimum field poly to diffusion spacing can provide good manufacturability, while a single pitch single orientation design rule can reduce gate 3σ uncertainty. Both of these improve in data volume as well, with little to no performance penalties. Reductions in data volume and worst-case edge placement error are on the order of 20-30% and 30-50% respectively compared to a standard baseline design rule set.