標題: VLSI circuit placement with rectilinear modules using three-layer force-directed self-organizing maps
作者: Chang, RI
Hsiao, PY
資訊工程學系
Department of Computer Science
關鍵字: force-directed placement method;molecule model;query-based learning;rectilinear circuit;three-layer self-organizing maps
公開日期: 1-九月-1997
摘要: In this paper, a three-layer force-directed self-organizing map is designed to resolve the circuit placement problem with arbitrarily shaped rectilinear modules. The proposed neural model with an additional hidden layer can easily model a rectilinear module by a set of hidden neurons to correspond the partitioned rectangles. With the collective computing from hidden neurons, these rectilinear modules can correctly interact with each other and finally converge to a good placement result. In this paper, multiple contradictory criteria are accounted simultaneously during the placement process, in which, both the wire length and the module overlap are reduced. The proposed model has been successfully exploited to solve the time consuming rectilinear module placement problem, The placement results of real rectilinear test examples have been presented, which demonstrate that the proposed method is better than the simulated annealing approach in the total wire length, Furthermore, on the average, the central processing unit (CPU) time for the proposed method running on a sequential machine is 15 times faster than that required by the simulated annealing method, The appropriate parameter values which yield good solutions are also investigated.
URI: http://dx.doi.org/10.1109/72.623207
http://hdl.handle.net/11536/320
ISSN: 1045-9227
DOI: 10.1109/72.623207
期刊: IEEE TRANSACTIONS ON NEURAL NETWORKS
Volume: 8
Issue: 5
起始頁: 1049
結束頁: 1064
顯示於類別:期刊論文


文件中的檔案:

  1. A1997XT98500009.pdf