Unification of partitioning, placement and floorplanning

  • Authors:
  • Saurabh N. Adya;Shubhyant Chaturvedi;Jarrod A. Roy;David A. Papa;Igor L. Markov

  • Affiliations:
  • Synplicity, Inc., Sunnyvale, CA, USA;Advanced Micro Devices Austin, TX,;University of Michigan EECS Department Ann Arbor, MI;University of Michigan EECS Department Ann Arbor, MI;University of Michigan EECS Department Ann Arbor, MI

  • Venue:
  • Proceedings of the 2004 IEEE/ACM International conference on Computer-aided design
  • Year:
  • 2004

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Abstract

Large macro blocks, pre-designed datapaths, embedded memories and analog blocks are increasingly used in ASIC designs. However, robust algorithms for large-scale placement of such designs have only recently been considered in the literature, and improvements by over 10% per paper are still common. Large macros can be handled by traditional floorplanning, but are harder to account for in min-cut and analytical placement. On the other hand, traditional floorplanning techniques do not scale to large numbers of objects, especially in terms of solution quality. We propose to integrate min-cut placement with fixed-outline floor-planning to solve the more general placement problem, which includes cell placement, floorplanning, mixed-size placement and achieving routability. At every step of min-cut placement, either partitioning or wirelength-driven, fixed-outline floorplanning is invoked. If the latter fails, we undo an earlier partitioning decision, merge adjacent placement regions and re-floorplan the larger region to find a legal placement for the macros. Empirically, this framework improves the scalability and quality of results for traditional wirelength-driven floorplanning. It has been validated on recent designs with embedded memories and accounts for routability. Additionally, we propose that free-shape rectilinear floorplanning can be used with rough module-area estimates before synthesis.