A corner stitching compliant B*-tree representation and its applications to analog placement

  • Authors:
  • Hui-Fang Tsao;Pang-Yen Chou;Shih-Lun Huang;Yao-Wen Chang;Mark Po-Hung Lin;Duan-Ping Chen;Dick Liu

  • Affiliations:
  • National Taiwan University, Taipei, Taiwan;National Taiwan University, Taipei, Taiwan;National Taiwan University, Taipei, Taiwan;National Taiwan University, Taipei, Taiwan;National Chung Cheng University, Chia-Yi, Taiwan;Lattice Semiconductor Corp., San Jose, CA;Synopsys Inc., Mountain View, CA

  • Venue:
  • Proceedings of the International Conference on Computer-Aided Design
  • Year:
  • 2011

Quantified Score

Hi-index 0.00

Visualization

Abstract

Modern circuit placement, especially analog placement, often needs to consider various constraints, such as symmetry, proximity, preplaced, variant, fixed-boundary, minimum separation, boundary, and fixed-outline constraints, for better electrical effects and higher performance. To handle these diverse constraints, topological floorplan representations are pervasively used because of their higher flexibility and smaller solution space. Due to their intrinsic limitation in deriving module adjacency information directly from the representations themselves, however, they might incur difficulties in handling related constraints. In this paper, we work on B*-trees, which have been shown to be most effective and efficient for floor-plan/placement problems, and present a corner stitching compliant B*-tree (CB-tree, for short) to remedy the significant deficiency in its module adjacency handling. A CB-tree is a B*-tree integrated with modified corner stitching to offer much higher flexibility/efficiency, especially for adjacent module identification/packing. Compared with the previous works, CB-trees can achieve the lowest time complexity for module packing with the aforementioned constraints. Experimental results show that the CB-trees achieve the best solution quality and consume the least running time for industrial designs with various constraints. In particular, our work provides key insights into the handling of comprehensive placement constraints with a topological representation.