VLSI物理合成中分层混合尺寸放置算法的比较

B. Sekhara, Babu R V C E, Rajine Swetha, Devi K A Sumithra, Dept R V
{"title":"VLSI物理合成中分层混合尺寸放置算法的比较","authors":"B. Sekhara, Babu R V C E, Rajine Swetha, Devi K A Sumithra, Dept R V","doi":"10.1109/CSNT.2011.95","DOIUrl":null,"url":null,"abstract":"Placement is a physical synthesis task that transforms a block/gate/transistor-level net list into an actual layout for timing convergence. It is a crucial step that assembles the basic building blocks of logic net list and establishes the overall timing characteristic of a design by determining exact locations of circuit elements within a given region. If a design is placed poorly, it is virtually impossible to close timing, no matter how much other physical synthesis and routing optimizations are applied to it. The algorithms for solving the mixed size placement problem fall into two categories, flat and hierarchical. The strategy of flat algorithm is to view both standard cells and macro blocks as the same placement components, whose advantage is that low complexity placement algorithm, such as quadratic-based algorithm, can be used to do the placement with very high speed. The strategy of hierarchical algorithm is to do the placement through block level and cell level, and the overlaps involving macro blocks are eliminated in block level. In both levels, the number of placement components reduces considerably.","PeriodicalId":294850,"journal":{"name":"2011 International Conference on Communication Systems and Network Technologies","volume":"94 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Comparision of Hierarchial Mixed-Size Placement Algorithms for VLSI Physical Synthesis\",\"authors\":\"B. Sekhara, Babu R V C E, Rajine Swetha, Devi K A Sumithra, Dept R V\",\"doi\":\"10.1109/CSNT.2011.95\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Placement is a physical synthesis task that transforms a block/gate/transistor-level net list into an actual layout for timing convergence. It is a crucial step that assembles the basic building blocks of logic net list and establishes the overall timing characteristic of a design by determining exact locations of circuit elements within a given region. If a design is placed poorly, it is virtually impossible to close timing, no matter how much other physical synthesis and routing optimizations are applied to it. The algorithms for solving the mixed size placement problem fall into two categories, flat and hierarchical. The strategy of flat algorithm is to view both standard cells and macro blocks as the same placement components, whose advantage is that low complexity placement algorithm, such as quadratic-based algorithm, can be used to do the placement with very high speed. The strategy of hierarchical algorithm is to do the placement through block level and cell level, and the overlaps involving macro blocks are eliminated in block level. In both levels, the number of placement components reduces considerably.\",\"PeriodicalId\":294850,\"journal\":{\"name\":\"2011 International Conference on Communication Systems and Network Technologies\",\"volume\":\"94 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-06-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 International Conference on Communication Systems and Network Technologies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CSNT.2011.95\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 International Conference on Communication Systems and Network Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSNT.2011.95","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

摘要

放置是一项物理合成任务,它将块/栅极/晶体管级网络列表转换为时序收敛的实际布局。通过确定电路元件在给定区域内的精确位置,组装逻辑网表的基本构建块并确定设计的总体时序特性是至关重要的一步。如果设计放置得很差,那么无论对其应用了多少其他物理合成和路由优化,实际上都不可能关闭时序。求解混合尺寸布局问题的算法分为平面和分层两类。扁平化算法的策略是将标准单元和宏块视为相同的放置组件,其优点是可以使用低复杂度的放置算法,如基于二次的算法,以非常高的速度进行放置。分层算法的策略是通过块级和单元级进行布局,并在块级消除涉及宏块的重叠。在这两个级别中,放置组件的数量都大大减少。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparision of Hierarchial Mixed-Size Placement Algorithms for VLSI Physical Synthesis
Placement is a physical synthesis task that transforms a block/gate/transistor-level net list into an actual layout for timing convergence. It is a crucial step that assembles the basic building blocks of logic net list and establishes the overall timing characteristic of a design by determining exact locations of circuit elements within a given region. If a design is placed poorly, it is virtually impossible to close timing, no matter how much other physical synthesis and routing optimizations are applied to it. The algorithms for solving the mixed size placement problem fall into two categories, flat and hierarchical. The strategy of flat algorithm is to view both standard cells and macro blocks as the same placement components, whose advantage is that low complexity placement algorithm, such as quadratic-based algorithm, can be used to do the placement with very high speed. The strategy of hierarchical algorithm is to do the placement through block level and cell level, and the overlaps involving macro blocks are eliminated in block level. In both levels, the number of placement components reduces considerably.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信