A Trade-off Oriented Placement Tool

  • Authors:
  • Huaiyu Xu;Maogang Wang;Bo-Kyung Choi;Majid Sarrafzadeh

  • Affiliations:
  • University of California, Los Angeles;Cadence Design Systems, San Jose, CA;University of California, Los Angeles;University of California, Los Angeles

  • Venue:
  • Proceedings of the 2003 IEEE/ACM international conference on Computer-aided design
  • Year:
  • 2003

Quantified Score

Hi-index 0.00

Visualization

Abstract

High quality placement results are always produced at the cost ofsignificant runtimes. In this paper, we study the trade-offbetween the overall quality and the runtime for standard-cellplacement problems. We implemented and studied a class ofschemes to achieve the runtime vs. quality trade-off. Wedeveloped a new trade-off oriented placement tool (TOOP)which is controlled by decision trees. TOOP can adjust itselfbased on user's requests and netlist properties. Compared toCadence QPlace, even the fastest mode of TOOP (lowest quality)can produce placements with similar or better layout. TOOP alsoshows much stronger ability to produce routable placement whencompared to Capo.