可达性驱动的分析安置与精确惩罚模型的大规模3D集成电路

Jai-Ming Lin, Hao-Yuan Hsieh, Hsuan Kung, H. Lin
{"title":"可达性驱动的分析安置与精确惩罚模型的大规模3D集成电路","authors":"Jai-Ming Lin, Hao-Yuan Hsieh, Hsuan Kung, H. Lin","doi":"10.1145/3508352.3549339","DOIUrl":null,"url":null,"abstract":"Quality of a true 3D placement approach greatly relies on the correctness of the models used in its formulation. However, the models used by previous approaches are not precise enough. Moreover, they do not actually place TSVs which makes their approach unable to get accurate wirelength and construct a correct congestion map. Besides, they rarely discuss routability which is the most important issue considered in 2D placement. To resolve this insufficiency, this paper proposes more accurate models to estimate placement utilization and TSV number by the softmax function which can align cells to exact tiers. Moreover, we propose a fast parallel algorithm to update the locations of TSVs when cells are moved during optimization. Finally, we present a novel penalty model to estimate routing overflow of regions covered by cells and inflate cells in congested regions according to this model. Experimental results show that our methodology can obtain better results than previous works.","PeriodicalId":270592,"journal":{"name":"2022 IEEE/ACM International Conference On Computer Aided Design (ICCAD)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Routability-driven Analytical Placement with Precise Penalty Models for Large-Scale 3D ICs\",\"authors\":\"Jai-Ming Lin, Hao-Yuan Hsieh, Hsuan Kung, H. Lin\",\"doi\":\"10.1145/3508352.3549339\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Quality of a true 3D placement approach greatly relies on the correctness of the models used in its formulation. However, the models used by previous approaches are not precise enough. Moreover, they do not actually place TSVs which makes their approach unable to get accurate wirelength and construct a correct congestion map. Besides, they rarely discuss routability which is the most important issue considered in 2D placement. To resolve this insufficiency, this paper proposes more accurate models to estimate placement utilization and TSV number by the softmax function which can align cells to exact tiers. Moreover, we propose a fast parallel algorithm to update the locations of TSVs when cells are moved during optimization. Finally, we present a novel penalty model to estimate routing overflow of regions covered by cells and inflate cells in congested regions according to this model. Experimental results show that our methodology can obtain better results than previous works.\",\"PeriodicalId\":270592,\"journal\":{\"name\":\"2022 IEEE/ACM International Conference On Computer Aided Design (ICCAD)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE/ACM International Conference On Computer Aided Design (ICCAD)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3508352.3549339\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE/ACM International Conference On Computer Aided Design (ICCAD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3508352.3549339","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

真正的3D放置方法的质量在很大程度上依赖于其公式中使用的模型的正确性。然而,以前的方法使用的模型不够精确。此外,他们没有实际放置tsv,这使得他们的方法无法获得准确的无线长度和构建正确的拥塞图。此外,他们很少讨论可达性,这是二维布局中考虑的最重要的问题。为了解决这一不足,本文提出了更精确的模型,利用softmax函数估计放置利用率和TSV数,该函数可以将单元对齐到精确的层。此外,我们提出了一种快速并行算法来更新优化过程中单元移动时tsv的位置。最后,我们提出了一种新的惩罚模型来估计蜂窝覆盖区域的路由溢出,并根据该模型对拥挤区域的蜂窝进行膨胀。实验结果表明,该方法比以往的方法获得了更好的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Routability-driven Analytical Placement with Precise Penalty Models for Large-Scale 3D ICs
Quality of a true 3D placement approach greatly relies on the correctness of the models used in its formulation. However, the models used by previous approaches are not precise enough. Moreover, they do not actually place TSVs which makes their approach unable to get accurate wirelength and construct a correct congestion map. Besides, they rarely discuss routability which is the most important issue considered in 2D placement. To resolve this insufficiency, this paper proposes more accurate models to estimate placement utilization and TSV number by the softmax function which can align cells to exact tiers. Moreover, we propose a fast parallel algorithm to update the locations of TSVs when cells are moved during optimization. Finally, we present a novel penalty model to estimate routing overflow of regions covered by cells and inflate cells in congested regions according to this model. Experimental results show that our methodology can obtain better results than previous works.
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
期刊最新文献
Squeezing Accumulators in Binary Neural Networks for Extremely Resource-Constrained Applications Numerically-Stable and Highly-Scalable Parallel LU Factorization for Circuit Simulation Towards High Performance and Accurate BNN Inference on FPGA with Structured Fine-grained Pruning RT-NeRF: Real-Time On-Device Neural Radiance Fields Towards Immersive AR/VR Rendering Design and Technology Co-optimization Utilizing Multi-bit Flip-flop Cells
×
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