{"title":"总体平面图的拓扑生成和面积优化的统一方法","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":"{\"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}","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}
A unified approach to topology generation and area optimization of general floorplans
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.