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Please use this identifier to cite or link to this item: http://eprint.iitd.ac.in/handle/2074/2006

Title: Neural global router
Authors: Alti, P
Bhaumik, B
Keywords: global routing
rectilinear steiner tree
optimization
Issue Date: 2000
Citation: Neural Networks, IJCNN Proceedings of the IEEE-INNS-ENNS International Joint Conference on, 6, 515 - 520p.
Abstract: A grid based neural network global router to route nets in presence of obstacles is presented. This algorithm can handle obstacles of equal height and different widths. It can be used for routing in gate arrays, FPGAs and standard cell layout. A neural model to avoid routing of wire through crowded region is suggested. This is used to rip up and reroute the wire which passes through the crowded region
URI: http://eprint.iitd.ac.in/dspace/handle/2074/2006
Appears in Collections:Electrical Engineering

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