On improving optimization effectiveness in interconnect-driven physical synthesis

  • Authors:
  • Prashant Saxena;Vishal Khandelwal;Changge Qiao;Pei-Hsin Ho;J.-C. Lin;Mahesh A. Iyer

  • Affiliations:
  • Synopsys, Inc, Hillsboro, OR, USA;Synopsys, Inc, Hillsboro, OR, USA;Synopsys, Inc., Sunnyvale, CA, USA;Synopsys, Inc., Hillsboro, OR, USA;Synopsys, Inc., Sunnyvale, CA, USA;Synopsys, Inc., Sunnyvale, CA, USA

  • Venue:
  • Proceedings of the 2009 international symposium on Physical design
  • Year:
  • 2009

Quantified Score

Hi-index 0.00

Visualization

Abstract

In modern designs, the delay of a net can vary significantly depending on its routing. This large estimation error during the pre-routing stage can often mislead the optimization of the netlist. We extend state-of-the-art interconnect-driven physical synthesis by introducing a new paradigm (namely, persistence) that relies on guaranteed net routes for the most sensitive nets while performing circuit optimization in the pre-route stage. We implemented our proposed approach in a cutting-edge industrial physical synthesis flow; this involved the automatic identification and routing of critical nets that were likely to be mispredicted, the automatic update of their routes during the subsequent pre-routing stage optimizations, and the guaranteed retention of their routes across the routing stage. Our approach achieves significant performance improvements on a suite of real-world 65nm designs, while ensuring that the impact on their routability remains negligible. Furthermore, our experimental results scale very well with design size.