Constraint driven I/O planning and placement for chip-package co-design

  • Authors:
  • Jinjun Xiong;Yiu-Chung Wong;Egino Sarto;Lei He

  • Affiliations:
  • University of California at Los Angeles, CA;Rio Design Automation, Inc., Santa Clara, CA;Rio Design Automation, Inc., Santa Clara, CA;University of California at Los Angeles, CA

  • Venue:
  • ASP-DAC '06 Proceedings of the 2006 Asia and South Pacific Design Automation Conference
  • Year:
  • 2006

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Abstract

System-on-chip and system-in-package result in increased number of I/O cells and complicated constraints for both chip designs and package designs. This renders the traditional manually tuned and chip-centered I/O designs suboptimal in terms of both turn around time and design quality. In this paper we formally introduce a set of design constraints suitable for chip-package co-design. We formulate a constraint-driven I/O planning and placement problem, and solve it by a multi-step algorithm based upon integer linear programming. Experiment results using real industry designs show that the proposed algorithm can effectively find a large scale I/O placement solution and satisfy all given design constraints in less than 10 minutes. In contrast, the state-of-the-art without considering those design constraints simply cannot meet all design constraints by relying solely upon the conventional iterative approach.