{"title":"基于最大流算法和去耦电容的随机电源降噪技术","authors":"S. A. Moghaddam, N. Masoumi, C. Lucas","doi":"10.1109/IWSOC.2005.28","DOIUrl":null,"url":null,"abstract":"Nowadays, with high demand of very large scale integration (VLSI) design and also high work frequency for circuits, the related issues such as noise cancellation, reduction, and modeling have become more important. In order to overcome the power supply noise problem, in the floorplanning level, this paper develops a mixed algorithm employing the priority-based max-flow algorithm, and decoupling capacitance insertion technique. We used this new algorithm, as a part of a floorplanner and extract the floorplan considering several objectives. A variety of important objectives are: optimum area, wire length, power supply noise reduction, and power supply network design.","PeriodicalId":328550,"journal":{"name":"Fifth International Workshop on System-on-Chip for Real-Time Applications (IWSOC'05)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"A stochastic power-supply noise reduction technique using max-flow algorithm and decoupling capacitance\",\"authors\":\"S. A. Moghaddam, N. Masoumi, C. Lucas\",\"doi\":\"10.1109/IWSOC.2005.28\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Nowadays, with high demand of very large scale integration (VLSI) design and also high work frequency for circuits, the related issues such as noise cancellation, reduction, and modeling have become more important. In order to overcome the power supply noise problem, in the floorplanning level, this paper develops a mixed algorithm employing the priority-based max-flow algorithm, and decoupling capacitance insertion technique. We used this new algorithm, as a part of a floorplanner and extract the floorplan considering several objectives. A variety of important objectives are: optimum area, wire length, power supply noise reduction, and power supply network design.\",\"PeriodicalId\":328550,\"journal\":{\"name\":\"Fifth International Workshop on System-on-Chip for Real-Time Applications (IWSOC'05)\",\"volume\":\"25 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-07-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Fifth International Workshop on System-on-Chip for Real-Time Applications (IWSOC'05)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IWSOC.2005.28\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Fifth International Workshop on System-on-Chip for Real-Time Applications (IWSOC'05)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IWSOC.2005.28","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A stochastic power-supply noise reduction technique using max-flow algorithm and decoupling capacitance
Nowadays, with high demand of very large scale integration (VLSI) design and also high work frequency for circuits, the related issues such as noise cancellation, reduction, and modeling have become more important. In order to overcome the power supply noise problem, in the floorplanning level, this paper develops a mixed algorithm employing the priority-based max-flow algorithm, and decoupling capacitance insertion technique. We used this new algorithm, as a part of a floorplanner and extract the floorplan considering several objectives. A variety of important objectives are: optimum area, wire length, power supply noise reduction, and power supply network design.