A 7nm 0.46pJ/bit 20Gbps with BER 1E-25 Die-to-Die Link Using Minimum Intrinsic Auto Alignment and Noise-Immunity Encode

Y. Hsu, Po-Chun Kuo, Chih-Lun Chuang, Po-Hao Chang, Hung-Hao Shen, Chen-Feng Chiang
{"title":"A 7nm 0.46pJ/bit 20Gbps with BER 1E-25 Die-to-Die Link Using Minimum Intrinsic Auto Alignment and Noise-Immunity Encode","authors":"Y. Hsu, Po-Chun Kuo, Chih-Lun Chuang, Po-Hao Chang, Hung-Hao Shen, Chen-Feng Chiang","doi":"10.23919/VLSICircuits52068.2021.9492439","DOIUrl":null,"url":null,"abstract":"This work presents a high-density low bit error rate and low-power Mlink (MediaTek link) PHY for ultra-short-reach (USR) die-to-die communication. Proposed Mlink have been fabricated in TSMC 7nm FinFET 1P15M CMOS technology. Interconnection is demonstrated through TSMC Chip-on-Wafer-on-Substrate (CoWoS) and TSMC Integrated Fan-Out (InFO) packaging technology [1]. Mlink PHY exploits energy-efficient and high performance scheme, includes single-ended without termination, quarter rate strobe and unbalance scheme on transceiver, minimum intrinsic auto-alignment and novel noise-immunity coding methodology. Achieving 20Gb/s/wire and 0.46pJ/bit under 1-mm ultra-short-reach platform target to BER 1E-25. Bandwidth density is normalized with shoreline 5.31Tb/s/mm and area 2.25Tb/s/mm^2 respectively.","PeriodicalId":106356,"journal":{"name":"2021 Symposium on VLSI Circuits","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 Symposium on VLSI Circuits","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/VLSICircuits52068.2021.9492439","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

Abstract

This work presents a high-density low bit error rate and low-power Mlink (MediaTek link) PHY for ultra-short-reach (USR) die-to-die communication. Proposed Mlink have been fabricated in TSMC 7nm FinFET 1P15M CMOS technology. Interconnection is demonstrated through TSMC Chip-on-Wafer-on-Substrate (CoWoS) and TSMC Integrated Fan-Out (InFO) packaging technology [1]. Mlink PHY exploits energy-efficient and high performance scheme, includes single-ended without termination, quarter rate strobe and unbalance scheme on transceiver, minimum intrinsic auto-alignment and novel noise-immunity coding methodology. Achieving 20Gb/s/wire and 0.46pJ/bit under 1-mm ultra-short-reach platform target to BER 1E-25. Bandwidth density is normalized with shoreline 5.31Tb/s/mm and area 2.25Tb/s/mm^2 respectively.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
采用最小固有自对准和抗噪编码的7nm 0.46pJ/bit 20Gbps BER 1E-25模对模链路
这项工作提出了一个高密度低误码率和低功耗的Mlink(联发科链路)PHY,用于超短距离(USR)模对模通信。提出的Mlink采用TSMC 7nm FinFET 1P15M CMOS技术制造。互连通过TSMC Chip-on-Wafer-on-Substrate (coos)和TSMC Integrated Fan-Out (InFO)封装技术进行演示[1]。Mlink PHY利用节能和高性能的方案,包括单端无终端,收发器上的四分之一速率频闪和不平衡方案,最小固有自对准和新颖的抗噪声编码方法。在1毫米超短距离平台下实现20Gb/s/线和0.46pJ/bit的BER 1E-25目标。带宽密度分别以海岸线5.31Tb/s/mm和面积2.25Tb/s/mm^2归一化。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
PIMCA: A 3.4-Mb Programmable In-Memory Computing Accelerator in 28nm for On-Chip DNN Inference A 24–31 GHz Reference Oversampling ADPLL Achieving FoMjitter−N of -269.3 dB A 6.78 MHz Wireless Power Transfer System for Simultaneous Charging of Multiple Receivers with Maximum Efficiency using Adaptive Magnetic Field Distributor IC Enhanced Core Circuits for scaling DRAM: 0.7V VCC with Long Retention 138ms at 125°C and Random Row/Column Access Times Accelerated by 1.5ns A Sub-mW Dual-Engine ML Inference System-on-Chip for Complete End-to-End Face-Analysis at the Edge
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1