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CircuitNet: an open-source dataset for machine learning applications in electronic design automation(EDA)

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Science China(Information Sciences) 2022年第12期65卷 313-314页

作者： Zhuomin CHAI Yuxiang ZHAO yibo lin Wei LIU Runsheng WANG Ru HUANG School of Integrated Circuits Peking University School of Physics and Technology Wuhan University

The electronic design automation(EDA) community has been actively exploring machine learning(ML) for very large-scale integrated computer-aided design(VLSI CAD).Many studies explored learning-based techniques for cross-stage prediction tasks in the design flow to achieve faster design convergence. Although building ML models usually requires a large amount of data,

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A Preliminary Study on Silver Isotopic Composition in Polymetallic Ore Deposits in Eastern China

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Journal of Earth Science 2022年第1期33卷 100-108页

作者： Ge Dong Hai-Zhen Wei Yuanfeng Zhu Xi Liu Qi Guo Wei Pu yibo lin Junlin Wang State Key Laboratory for Mineral Deposits Research Department of Earth Sciences and EngineeringNanjing University CAS Center for Excellence in Comparative Planetology

A preliminary survey of silver isotopic composition in four polymetallic ores in eastern China shows a larger variation inδ^(109)Ag from-0.014‰to+0.983‰,which is within the total ranges for the entire respective ore deposit types *** diversity of silver isotopic compositions in oredeposits reported here and previous studies seemed to preclude simple isotopic links to particular sources,but reflected the silver isotope fractionation in transport-and deposit-related processes ***δ^(109)Ag values in supergene samples from the Qixiashan Pb-Zn-Ag polymetallic deposit are more positive,in consistent with the statistical δ^(109)Ag distribution from-0.4‰to+2.2‰in 36 pieces of supergene ore samples around the World,which reflects the diverse controls on silver isotope fractionation from the first-order thermodynamic effect,reduction-mediated reaction,remobilization of silver with surficial low-temperature weathering *** hypogene samples in Dazhuangzi orogenic Au-Ag ore deposit,have δ^(109)Ag values close to 0,which implies that equilibrium partitioning associated with metal sources at the high-temperature does not result in a resolvable difference in silver isotopic *** contrast,the hypogene samples which are dominated by pyrite without visible silver minerals (i.e.,skarn iron ore deposit in Edongnan) have shown the largest variation range of δ^(109)Ag,followed by that from the porphyry copper ore in *** could be concluded that the surface adsorption and/or lattice substitution are important factors to control Ag isotope fractionation in oreforming processes,especially for skarn deposits with only *** perspective of silver isotope shows great potentials to understand the processes that lead to the concentrations of metals to economic levels and to constrain the physicochemical conditions during ore-mineralization in metallic ore-deposits.

关键词： silver isotopic composition hypogene ore deposits supergene ore deposits metal transport ore deposits

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Post-layout simulation driven analog circuit sizing

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Science China(Information Sciences) 2024年第4期67卷 289-300页

作者： Xiaohan GAO Haoyi ZHANG Siyuan YE Mingjie LIU David Z.PAN linxiao SHEN Runsheng WANG yibo lin Ru HUANG School of Integrated Circuits Peking University School of Computer Science Peking University Department of Electrical and Computer Engineering University of Texas at Austin Institute of Electronic Design Automation Peking University

Post-layout simulation provides accurate guidance for analog circuit design, but post-layout performance is hard to be directly optimized at early design stages. Prior work on analog circuit sizing often utilizes pre-layout simulation results as the optimization objective. In this work, we propose a post-layoutsimulation-driven(post-simulation-driven for short) analog circuit sizing framework that directly optimizes the post-layout simulation performance. The framework integrates automated layout generation into the optimization loop of transistor sizing and leverages a coupled Bayesian optimization algorithm to search for the best post-simulation performance. Experimental results demonstrate that our framework can achieve over 20% better post-layout performance in competitive time than manual design and the method that only considers pre-layout optimization.

关键词： analog EDA transistor sizing Bayesian optimization post-layout simulation

Generative Learning in VLSI Design for Manufacturability: Current Status and Future Directions

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Journal of Microelectronic Manufacturing 2019年第4期2卷 1-12页

作者： Mohamed Baker Alawieh yibo lin Wei Ye David Z.Pan Electrical and Computer Engineering University of Texas at AustinAustinUSA78712 School of Electronics Engineering and Computer Science Peking UniversityBeijingChina100871

With the continuous scaling of integrated circuit technologies,design for manufacturability(DFM)is becoming more critical,yet more ***,recent advances in machine learning have provided a new computing paradigm with promising applications in VLSI *** particular,generative learning-regarded among the most interesting ideas in present-day machine learning-has demonstrated impressive capabilities in a wide range of *** paper surveys recent results of using generative learning in VLSI manufacturing modeling and ***,we examine the unique features of generative learning that have been leveraged to improve DFM efficiency in an unprecedented way;hence,paving the way to a new data-driven DFM *** state-of-the-art methods are presented,and challenges/opportunities are discussed.

关键词： Design for Manufacturability Generative Learning Machine Learning Lithography

三峡地区早寒武世海水氧化还原环境的变化——来自罗家村剖面碳同位素解耦的证据

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石油实验地质 2023年第1期45卷 157-167页

作者：汪瑾吝祎勃杨涛南京大学地球科学与工程学院内生金属矿床成矿机制研究国家重点实验室南京210023

新元古代晚期到寒武纪早期是地球历史上生命演化和环境变化的重要转折期,此期间深海被认为广泛缺氧,而表层海水存在重大氧化还原环境的波动。选取宜昌三峡地区罗家村剖面下寒武统岩家河组、水井沱组为研究对象,基于生物地层学和无机碳... 详细信息

新元古代晚期到寒武纪早期是地球历史上生命演化和环境变化的重要转折期,此期间深海被认为广泛缺氧,而表层海水存在重大氧化还原环境的波动。选取宜昌三峡地区罗家村剖面下寒武统岩家河组、水井沱组为研究对象,基于生物地层学和无机碳同位素地层学对比,岩家河组、水井沱组分别对应纽芬兰统幸运阶至第二阶和第二统第三阶。根据此时间框架,系统研究了无机碳同位素和有机碳同位素解耦对水体氧化还原环境转变的响应。研究显示,海侵过程中底部缺氧水体的上升为初级生产力提供了充足的营养元素和生物必需微量元素,净生产力的提高导致了水体氧化还原环境的变化。光合作用产生的氧气使得表层海水处于暂时充氧的环境,这部分溶解氧随着溶解有机碳(DOC)储库的氧化而逐步消耗,海洋缺氧面积逐渐增加,有利于有机质的保存。底水上涌将深部缺氧水体中的DOC输入到表层水体,此氧化环境下DOC的持续氧化,导致形成的自生碳酸盐岩贫^(13)C,而早寒武世海水中容量可观的DOC库缓冲了δ^(13)C_(org)的变化,最终表现为早寒武世第二期—第三期过渡时期的碳同位素解耦现象。

关键词：地层对比碳同位素解耦氧化还原环境再矿化早寒武世三峡地区

OpenPARF:基于深度学习工具包的大规模异构FPGA开源布局布线框架

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电子与信息学报 2023年第9期45卷 3118-3131页

作者：麦景王嘉睿邸志雄林亦波北京大学计算机学院北京100871 北京大学集成电路学院北京100871 西南交通大学信息科学与技术学院成都611756

该文提出一个面向大规模可编辑逻辑门阵列(FPGA)的开源布局布线框架OpenPARF。该框架基于深度学习工具包PyTorch实现,支持GPU大规模并行计算求解。在布局算法方面,该文设计了一种新型非对称多静电场系统,对FPGA布局问题进行建模。在布... 详细信息

该文提出一个面向大规模可编辑逻辑门阵列(FPGA)的开源布局布线框架OpenPARF。该框架基于深度学习工具包PyTorch实现,支持GPU大规模并行计算求解。在布局算法方面,该文设计了一种新型非对称多静电场系统,对FPGA布局问题进行建模。在布线算法方面,该文支持对FPGA可编程逻辑块(CLB)内部布线资源进行准确建模,并在大规模不规则布线资源图上进行布线,提高了异构FPGA芯片布线器的性能和效率。该文在ISPD 2016和2017 FPGA竞赛数据集和工业标准级FPGA数据集上进行了实验,结果表明该框架可减少0.4%~12.7%的布线线长,并实现两倍以上布局效率提升。

关键词：集成电路设计与设计自动化物理实现 FPGA 布局布线机器学习

基于单片机控制电路+示波器的简易晶体管图示仪的设计、仿真与实现

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电子测试 2018年第22期29卷 17-18,16页

作者：康实林義博广东交通职业技术学院花都校区广东广州510800

在示波器基础上外加一块单片机控制电路板构成测试晶体管伏安特性的简易晶体管图示仪,通过对电路系统和软件的仿真分析完成设计任务,然后选用物美价廉的元件进行实现电路。

关键词：晶体管图示仪伏安特性示波器单片机

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现代别墅造园初探

家具与室内装饰 2010年第1期17卷 88-89页

作者：林义波胡希军中南林业科技大学湖南长沙410004 益阳职业技术学院湖南益阳4130002

现代别墅做为一种新型的居住形式,其环境景观设计理论与传统造园理论和观代的居住区景观规划理论有着密切的联系,在造景手法上与传统的造景方法有明显的差异。现代的生活方式与生活节奏决定了在现代庭园造景与传统的造园的不同,如何有... 详细信息

现代别墅做为一种新型的居住形式,其环境景观设计理论与传统造园理论和观代的居住区景观规划理论有着密切的联系,在造景手法上与传统的造景方法有明显的差异。现代的生活方式与生活节奏决定了在现代庭园造景与传统的造园的不同,如何有选择的继承与发扬中国古典园林的造园思想与造景手法,是当代景观设计者们的新的课题。

关键词：别墅景观设计传统造园西方园林室内外空间

Large circuit models: opportunities and challenges

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Science China(Information Sciences) 2024年第10期67卷 25-66页

作者： Lei CHEN Yiqi CHEN Zhufei CHU Wenji FANG Tsung-Yi HO Ru HUANG Yu HUANG Sadaf KHAN Min LI Xingquan LI Yu LI Yun LIANG Jinwei LIU Yi LIU yibo lin Guojie LUO Hongyang PAN Zhengyuan SHI Guangyu SUN Dimitrios TSARAS Runsheng WANG Ziyi WANG Xinming WEI Zhiyao XIE Qiang XU Chenhao XUE Junchi YAN Jun YANG Bei YU Mingxuan YUAN Evangeline F.Y.YOUNG Xuan ZENG Haoyi ZHANG Zuodong ZHANG Yuxiang ZHAO Hui-ling ZHEN Ziyang ZHENG Binwu ZHU Keren ZHU Sunan ZOU Huawei Noah’s Ark Lab School of Integrated Circuits Peking University Faculty of Electrical Engineering and Computer Science Ningbo University Department of Electronic and Computer Engineering Hong Kong University of Science and Technology Department of Computer Science and Engineering The Chinese University of Hong Kong School of Integrated Circuits Southeast University Huawei HiSilicon Peng Cheng Laboratory School of Computer Science Peking University School of Microelectronics State Key Laboratory of Integrated Chips and System Fudan University School of Artificial Intelligence Shanghai Jiao Tong University

Within the electronic design automation(EDA) domain, artificial intelligence(AI)-driven solutions have emerged as formidable tools, yet they typically augment rather than redefine existing methodologies. These solutions often repurpose deep learning models from other domains, such as vision, text, and graph analytics, applying them to circuit design without tailoring to the unique complexities of electronic circuits. Such an “AI4EDA” approach falls short of achieving a holistic design synthesis and understanding,overlooking the intricate interplay of electrical, logical, and physical facets of circuit data. This study argues for a paradigm shift from AI4EDA towards AI-rooted EDA from the ground up, integrating AI at the core of the design process. Pivotal to this vision is the development of a multimodal circuit representation learning technique, poised to provide a comprehensive understanding by harmonizing and extracting insights from varied data sources, such as functional specifications, register-transfer level(RTL) designs, circuit netlists,and physical layouts. We champion the creation of large circuit models(LCMs) that are inherently multimodal, crafted to decode and express the rich semantics and structures of circuit data, thus fostering more resilient, efficient, and inventive design methodologies. Embracing this AI-rooted philosophy, we foresee a trajectory that transcends the current innovation plateau in EDA, igniting a profound “shift-left” in electronic design methodology. The envisioned advancements herald not just an evolution of existing EDA tools but a revolution, giving rise to novel instruments of design-tools that promise to radically enhance design productivity and inaugurate a new epoch where the optimization of circuit performance, power, and area(PPA) is achieved not incrementally, but through leaps that redefine the benchmarks of electronic systems' capabilities.

关键词： AI-rooted EDA large circuit models (LCMs) multimodal circuit representation learning circuit optimization

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