FPGA Emulation of Through-Silicon-Via (TSV) Dataflow Network for 3D Standard Chip Stacking System

Takeshi Ohkawa, M. Aoyagi
{"title":"FPGA Emulation of Through-Silicon-Via (TSV) Dataflow Network for 3D Standard Chip Stacking System","authors":"Takeshi Ohkawa, M. Aoyagi","doi":"10.1109/COOLCHIPS57690.2023.10122025","DOIUrl":null,"url":null,"abstract":"Through-Silicon-Via (TSV) is expected to realize high-performance, low-power consumption, and lowcost 3D-LSI (Large Scale Integration) system. It is realized by integrating pre-manufactured chips with a 3D Standard Chip Stacking System (3D-SCSS) through a standard bus TSV connection. However, it is difficult to define a standard chip connection mechanism. This paper proposes an FPGA emulation of the TSV dataflow network for evaluating the performance of 3D-SCSS. To emulate 3D-SCSS, multiple-clock domains are assumed to overcome the problem of jitter in the global clock, which is a separated clock domain model. Simple dataflow experiments are done where processes are deployed to different chips and communicate among the chips in the 3D-SCSS. The evaluation shows that the emulation method is suitable to measure the latency performance of the proposed TSV dataflow network. (Keywords: 3D-LSI, TSV, FPGA, Emulation, Dataflow, 3D-SCSS)","PeriodicalId":387793,"journal":{"name":"2023 IEEE Symposium in Low-Power and High-Speed Chips (COOL CHIPS)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IEEE Symposium in Low-Power and High-Speed Chips (COOL CHIPS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/COOLCHIPS57690.2023.10122025","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Through-Silicon-Via (TSV) is expected to realize high-performance, low-power consumption, and lowcost 3D-LSI (Large Scale Integration) system. It is realized by integrating pre-manufactured chips with a 3D Standard Chip Stacking System (3D-SCSS) through a standard bus TSV connection. However, it is difficult to define a standard chip connection mechanism. This paper proposes an FPGA emulation of the TSV dataflow network for evaluating the performance of 3D-SCSS. To emulate 3D-SCSS, multiple-clock domains are assumed to overcome the problem of jitter in the global clock, which is a separated clock domain model. Simple dataflow experiments are done where processes are deployed to different chips and communicate among the chips in the 3D-SCSS. The evaluation shows that the emulation method is suitable to measure the latency performance of the proposed TSV dataflow network. (Keywords: 3D-LSI, TSV, FPGA, Emulation, Dataflow, 3D-SCSS)
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
三维标准芯片堆叠系统TSV数据流网络的FPGA仿真
TSV (through silicon - via)有望实现高性能、低功耗、低成本的3D-LSI(大规模集成电路)系统。它通过标准总线TSV连接将预制芯片与3D标准芯片堆叠系统(3D- scss)集成在一起实现。然而,很难定义一个标准的芯片连接机制。本文提出了一种TSV数据流网络的FPGA仿真,用于评估3D-SCSS的性能。为了模拟3D-SCSS,假设了多时钟域来克服全局时钟抖动问题,这是一种分离的时钟域模型。简单的数据流实验,其中进程部署到不同的芯片,并在3D-SCSS的芯片之间进行通信。仿真结果表明,该仿真方法适合于测量所提出的TSV数据流网络的时延性能。(关键词:3D-LSI, TSV, FPGA,仿真,数据流,3D-SCSS)
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
Special Session Speakers Biography A 2.41-μW/MHz, 437-PE/mm2 CGRA in 22 nm FD-SOI With RISC-Like Code Generation A Low-power Neural 3D Rendering Processor with Bio-inspired Visual Perception Core and Hybrid DNN Acceleration Cachet: A High-Performance Joint-Subtree Integrity Verification for Secure Non-Volatile Memory FPGA Emulation of Through-Silicon-Via (TSV) Dataflow Network for 3D Standard Chip Stacking System
×
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