Abstract
Three-dimensional (3-D) routing is an important step in deep submicrometer very large-scale integrated design. Given a 3-D grid graph and a set of two-terminal nets to be routed, we propose a probabilistic model to calculate the routing density (congestion) on each edge of the grid graph. The routing density provides a direct congestion estimation. Our experimental results demonstrate the effectiveness of the method on routing benchmarks.
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