Proceedings of the 2006 International Symposium on Physical Design 2006
DOI: 10.1145/1123008.1123054
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Dragon2006

Abstract: In this paper, we develop a mixed-size placement tool, Dragon2006, to solve large scale placement problems effectively. A top-down hierarchical approach based on min-cut partitioning and simulated annealing is used to place very large SoC-style designs containing fixed blockage, movable macro blocks of various sizes and standard cells. Moreover, we have applied several techniques for wirelength optimization, congestion estimation in the presence of blockage and white space allocation for congestion removal.

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Cited by 31 publications
(1 citation statement)
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References 8 publications
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“…While a SAT solver can solve the joint problem optimally, it necessarily suffers from high runtimes and scalability challenges, under the assumption that P N P. While it is possible to prune the size of the search space, e.g., by downscaling component sizes or partitioning the netlist into independent subproblems, doing so sacrifices optimality. This points toward the possibility of investigating hierarchical partitioning and placement strategies, similar in principle to UCLA's Dragon standard cell placer [47]; however, this potential research direction is far beyond the scope of this article.…”
Section: Flow Layer Physical Designmentioning
confidence: 99%
“…While a SAT solver can solve the joint problem optimally, it necessarily suffers from high runtimes and scalability challenges, under the assumption that P N P. While it is possible to prune the size of the search space, e.g., by downscaling component sizes or partitioning the netlist into independent subproblems, doing so sacrifices optimality. This points toward the possibility of investigating hierarchical partitioning and placement strategies, similar in principle to UCLA's Dragon standard cell placer [47]; however, this potential research direction is far beyond the scope of this article.…”
Section: Flow Layer Physical Designmentioning
confidence: 99%