An integrated-spreading-based macro-refining algorithm for large-scale mixed-size circuit designs

Szu-To Chen, Yao-Wen Chang, Tung-Chieh Chen
{"title":"An integrated-spreading-based macro-refining algorithm for large-scale mixed-size circuit designs","authors":"Szu-To Chen, Yao-Wen Chang, Tung-Chieh Chen","doi":"10.1109/ICCAD.2017.8203818","DOIUrl":null,"url":null,"abstract":"With the increasing use of pre-designed macros in a modern chip and its induced high design complexity, macro placement has become a challenging problem in today's design houses. Most popular macro placement algorithms adopt a three-stage approach: placement prototyping, macro placement, and standard-cell placement, where cell positions after macro placement are assumed the same as those at the prototyping stage, possibly misguiding succeeding standard-cell placement. To close the gap between macro and standard-cell placement, we propose a macro-refining algorithm that adopts an integrated spreading technique considering the spreading of both macros and cells and the dynamic information of cell positions to improve macro placement. We further propose a new force-modulation technique to refine macro placement and a congestion-aware macro shifter to preserve more space for better routability. Extensive experiments based on various macro placements show that our proposed techniques are effective and our macro-refining algorithm can find significantly better placement solutions for large-scale mixed-size circuit designs.","PeriodicalId":126686,"journal":{"name":"2017 IEEE/ACM International Conference on Computer-Aided Design (ICCAD)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE/ACM International Conference on Computer-Aided Design (ICCAD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCAD.2017.8203818","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7

Abstract

With the increasing use of pre-designed macros in a modern chip and its induced high design complexity, macro placement has become a challenging problem in today's design houses. Most popular macro placement algorithms adopt a three-stage approach: placement prototyping, macro placement, and standard-cell placement, where cell positions after macro placement are assumed the same as those at the prototyping stage, possibly misguiding succeeding standard-cell placement. To close the gap between macro and standard-cell placement, we propose a macro-refining algorithm that adopts an integrated spreading technique considering the spreading of both macros and cells and the dynamic information of cell positions to improve macro placement. We further propose a new force-modulation technique to refine macro placement and a congestion-aware macro shifter to preserve more space for better routability. Extensive experiments based on various macro placements show that our proposed techniques are effective and our macro-refining algorithm can find significantly better placement solutions for large-scale mixed-size circuit designs.
一种基于集成展开式的大规模混合电路设计宏细化算法
随着在现代芯片中越来越多地使用预先设计的宏及其引起的高设计复杂性,宏放置已成为当今设计公司面临的一个具有挑战性的问题。大多数流行的宏放置算法采用三阶段方法:放置原型、宏放置和标准单元放置,其中假定宏放置后的单元位置与原型阶段的相同,这可能会误导后续的标准单元放置。为了缩小宏与标准单元放置之间的差距,我们提出了一种宏优化算法,该算法采用综合扩展技术,考虑宏和单元的扩展以及单元位置的动态信息,以改善宏的放置。我们进一步提出了一种新的力调制技术来改进宏放置和一个拥塞感知宏移位器,以保留更多的空间以获得更好的可达性。基于各种宏布局的大量实验表明,我们提出的技术是有效的,我们的宏优化算法可以为大规模混合尺寸电路设计找到更好的布局解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
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:481959085
Book学术官方微信