找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

Titlebook: Variation-Aware Analog Structural Synthesis; A Computational Inte Trent McConaghy,Pieter Palmers,Georges Gielen Book 2009 Springer Science+

[复制链接]
查看: 48408|回复: 47
发表于 2025-3-21 20:04:27 | 显示全部楼层 |阅读模式
书目名称Variation-Aware Analog Structural Synthesis
副标题A Computational Inte
编辑Trent McConaghy,Pieter Palmers,Georges Gielen
视频video
概述A roadmap for analog CAD and its implementation algorithm-by-algorithm, presented by notable figures in analog CAD and analog design field who have experience in both the academia and industry.A compe
丛书名称Analog Circuits and Signal Processing
图书封面Titlebook: Variation-Aware Analog Structural Synthesis; A Computational Inte Trent McConaghy,Pieter Palmers,Georges Gielen Book 2009 Springer Science+
描述This book describes new tools for front end analog designers, starting with global variation-aware sizing, and extending to novel variation-aware topology design. The tools aid design through automation, but more importantly, they also aid designer insight through automation. We now describe four design tasks, each more general than the previous, and how this book contributes design aids and insight aids to each. The ?rst designer task targeted is global robust sizing. This task is supported by a design tool that does automated, globally reliable, variation-aware s- ing (SANGRIA),and an insight-aiding tool that extracts designer-interpretable whitebox models that relate sizings to circuit performance (CAFFEINE). SANGRIA searches on several levels of problem dif?culty simultaneously, from lower cheap-to-evaluate “exploration” layers to higher full-evaluation “exploitation” layers (structural homotopy). SANGRIAmakes maximal use of circuit simulations by performing scalable data mining on simulation results to choose new candidate designs. CAFFEINE accomplishes its task by tre- ing function induction as a tree-search problem. It constrains its tree search space via a canonical-functio
出版日期Book 2009
关键词Analysis; algorithms; artificial intelligence; computational intelligence; database; integrated circuit; k
版次1
doihttps://doi.org/10.1007/978-90-481-2906-5
isbn_softcover978-94-007-2608-6
isbn_ebook978-90-481-2906-5Series ISSN 1872-082X Series E-ISSN 2197-1854
issn_series 1872-082X
copyrightSpringer Science+Business Media B.V. 2009
The information of publication is updating

书目名称Variation-Aware Analog Structural Synthesis影响因子(影响力)




书目名称Variation-Aware Analog Structural Synthesis影响因子(影响力)学科排名




书目名称Variation-Aware Analog Structural Synthesis网络公开度




书目名称Variation-Aware Analog Structural Synthesis网络公开度学科排名




书目名称Variation-Aware Analog Structural Synthesis被引频次




书目名称Variation-Aware Analog Structural Synthesis被引频次学科排名




书目名称Variation-Aware Analog Structural Synthesis年度引用




书目名称Variation-Aware Analog Structural Synthesis年度引用学科排名




书目名称Variation-Aware Analog Structural Synthesis读者反馈




书目名称Variation-Aware Analog Structural Synthesis读者反馈学科排名




单选投票, 共有 0 人参与投票
 

0票 0%

Perfect with Aesthetics

 

0票 0%

Better Implies Difficulty

 

0票 0%

Good and Satisfactory

 

0票 0%

Adverse Performance

 

0票 0%

Disdainful Garbage

您所在的用户组没有投票权限
发表于 2025-3-21 23:58:26 | 显示全部楼层
Variation-Aware Sizing: Background,07]. Yield optimization/design centering for the sizing task can play a useful role within a statistical design toolset, to speed a designer’s overall robust-design effort. Accordingly, there has been much research effort aimed at building analog circuit yield optimizers. This chapter examines the p
发表于 2025-3-22 04:02:41 | 显示全部楼层
Globally Reliable, Variation-Aware Sizing: Sangria,e in mind, to achieve the yield optimizer tool requirements of Chap. 2: accuracy, efficiency, scalability, flexibility, and global reliability..To be accurate and flexible, SANGRIA uses SPICE-in-the-loop, and an accurate model of manufacturing variation [Dre1999]. To be efficient in light of expensi
发表于 2025-3-22 04:45:34 | 显示全部楼层
发表于 2025-3-22 09:04:36 | 显示全部楼层
发表于 2025-3-22 13:39:23 | 显示全部楼层
发表于 2025-3-22 18:26:16 | 显示全部楼层
发表于 2025-3-23 01:06:34 | 显示全部楼层
发表于 2025-3-23 03:46:05 | 显示全部楼层
Variation-Aware Topology Synthesis and Knowledge Extraction,ng). In Chaps. 6–7, MOJITO did topology synthesis (nominally). This chapter does both: variation-aware topology synthesis. By combining the two features at once, we bias the MOJITO search towards topologies that are robust, resulting in the MOJITO-R tool [Mcc2009d]. It also does knowledge extraction
发表于 2025-3-23 09:02:22 | 显示全部楼层
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 SITEMAP 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-5-5 03:05
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表