On the behavior of congestion minimization during placement
ISPD '99 Proceedings of the 1999 international symposium on Physical design
A new algorithm for floorplan design
DAC '86 Proceedings of the 23rd ACM/IEEE Design Automation Conference
Modeling and minimization of routing congestion
ASP-DAC '00 Proceedings of the 2000 Asia and South Pacific Design Automation Conference
Estimating routing congestion using probabilistic analysis
Proceedings of the 2001 international symposium on Physical design
Routability driven floorplanner with buffer block planning
Proceedings of the 2002 international symposium on Physical design
An effective congestion-driven placement framework
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Probabilistic congestion model considering shielding for crosstalk reduction
Proceedings of the 2005 Asia and South Pacific Design Automation Conference
Novel full-chip gridless routing considering double-via insertion
Proceedings of the 43rd annual Design Automation Conference
An accurate and efficient probabilistic congestion estimation model in x architecture
Proceedings of the 2007 international workshop on System level interconnect prediction
An enhanced congestion-driven floorplanner
WSEAS Transactions on Circuits and Systems
A Performance-Driven Multilevel Framework for the X-Based Full-Chip Router
Integrated Circuit and System Design. Power and Timing Modeling, Optimization and Simulation
PIXAR: A performance-driven X-architecture router based on a novel multilevel framework
Integration, the VLSI Journal
Congestion-driven floorplanning with module reshaping
ICC'08 Proceedings of the 12th WSEAS international conference on Circuits
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In this paper, we provide a new efficient and accurate congestion model embedded into a floorplanner to estimate the congestion of floorplans. It is based on probabilistic analysis and a new concept of Irregular-Grid which uses the routing information to determine the evaluating regions instead of fixed-size grids. Three complete experiments are performed and the experimental results show the correctness, accuracy and efficiency of our new congestionmodel.