Efficient congestion mitigation using congestion-aware steiner trees and network coding topologies

  • Authors:
  • M. A. R. Chaudhry;Z. Asad;A. Sprintson;J. Hu

  • Affiliations:
  • Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX;Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX;Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX;Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX

  • Venue:
  • VLSI Design - Special issue on CAD for Gigascale SoC Design and Verification Solutions
  • Year:
  • 2011

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Abstract

In the advent of smaller devices, a significant increase in the density of on-chip components has raised congestion and overflow as critical issues in VLSI physical design automation. In this paper, we present novel techniques for reducing congestion and minimizing overflows. Our methods are based on ripping up nets that go through the congested areas and replacing them with congestion-aware topologies. Our contributions can be summarized as follows. First, we present several efficient algorithms for finding congestion-aware Steiner trees that is, trees that avoid congested areas of the chip. Next, we show that the novel technique of network coding can lead to further improvements in routability, reduction of congestion, and overflow avoidance. Finally, we present an algorithm for identifying efficient congestion-aware network coding topologies. We evaluate the performance of the proposed algorithms through extensive simulations.