{"title":"A unified approach to topology generation and area optimization of general floorplans","authors":"P. Dasgupta, S. Sur-Kolay, B. Bhattacharya","doi":"10.1109/ICCAD.1995.480208","DOIUrl":null,"url":null,"abstract":"In this paper, it is shown that for any rectangularly dualizable graph, a feasible topology can be obtained by using only either straight or Z-cutlines recursively within a bounding rectangle. Given an adjacency graph, a potential topology, which may be nonslicible and is likely to yield an optimally sized floorplan, is produced first in a top-dozen fashion using heuristic search in AND-OR graphs. The advantage of this technique is four-fold: (i) accelerates top-down search phase, (ii) generates a floorplan with minimal number of nonslice cores, (iii) ensures safe routing order without addition of pseudo-modules, and (iv) solves the bottom-up algorithm efficiently for optimal sizing of general floorplans in the second phase.","PeriodicalId":367501,"journal":{"name":"Proceedings of IEEE International Conference on Computer Aided Design (ICCAD)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of IEEE International Conference on Computer Aided Design (ICCAD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCAD.1995.480208","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
In this paper, it is shown that for any rectangularly dualizable graph, a feasible topology can be obtained by using only either straight or Z-cutlines recursively within a bounding rectangle. Given an adjacency graph, a potential topology, which may be nonslicible and is likely to yield an optimally sized floorplan, is produced first in a top-dozen fashion using heuristic search in AND-OR graphs. The advantage of this technique is four-fold: (i) accelerates top-down search phase, (ii) generates a floorplan with minimal number of nonslice cores, (iii) ensures safe routing order without addition of pseudo-modules, and (iv) solves the bottom-up algorithm efficiently for optimal sizing of general floorplans in the second phase.