IRES: International Research Experience for Students on Design Automation of Three-Dimensional Integrated Circuits

IRES:三维集成电路设计自动化学生国际研究经验

基本信息

  • 批准号:
    1456867
  • 负责人:
  • 金额:
    $ 24.97万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2015
  • 资助国家:
    美国
  • 起止时间:
    2015-11-01 至 2015-10-31
  • 项目状态:
    已结题

项目摘要

Non-Technical Abstract: This project will enable U.S. students to conduct high-quality research on design automation of three dimensional integrated circuits (3D ICs), in collaboration with their faculty mentors at National Tsing Hua University (NTHU) in Taiwan. Such experiences expose U.S. students to the international research community at a critical early stage in their careers. It is expected that through participating in this project, U.S. students will gain extensive experience on the research of 3D ICs, on the international semiconductor prospects, on the culture in Taiwan, and on performing and collaborating in an international environment in general. The experience will also be shared to the broader community through the involvement of personal social media, Web 2.0 based forum, carefully integrated activities such as research for undergraduate students, as well as outreach events for local schools. In particular, this project will have a dedicated focus on the career development of minorities and underrepresented groups.Technical Abstract: This IRES project provides U.S. students with valuable research experience related to the design automation of three-dimensional integrated circuits (3D ICs) in Hsin-Chu, Taiwan, where the world's largest semiconductor industry is located. The project will select five (5) graduate students and two (2) undergraduate students nation-wide each year and support them to visit the Computer Science Department at National Tsing Hua University (NTHU) over a period of twelve (12) weeks. They will be mentored by the professors at NTHU. The primary research objective is to address fundamental issues in 3D ICs and to bridge the gap between advanced 3D fabrication processes and the designers using these technologies. The Moore's Law states that the transistor density on integrated circuits doubles approximately every two years. However, this trend is becoming increasingly difficult to keep due to the high cost associated with semiconductor scaling. Accordingly, the semiconductor industry has started to look for alternative technologies that offer a path beyond the limits of device scaling. Among all the possible alternatives, the three-dimensional integrated circuit (3D IC) is generally considered to be the most promising one, at least in the next decade, for its full compatibility with current technologies. Instead of making transistors smaller, it stacks multiple chips vertically for higher integration density, shorter wirelength, smaller footprint, higher speed, and lower power consumption. As such, 3D IC has become a very hot topic in academic research and industry practice in recent years. The students will work on projects related to the yield enhancement of 3D ICs and the novel design flows for two promising 3D technologies - interposer-based 3D ICs and monolithic 3D ICs. The research can significantly increase the yield of 3D ICs without involving area penalty. It is anticipated that the breakthroughs from this IRES project at NTHU can have a direct impact on the 3D IC industry.
非技术摘要:该项目将使美国学生能够与台湾国家TSING HUA大学(NTHU)的教职员工合作,对三维综合电路(3D IC)的设计自动化进行高质量的研究。这种经验使美国的学生在职业生涯的重要早期阶段暴露于国际研究界。可以预期,通过参加该项目,美国学生将在3D IC,国际半导体前景,台湾文化以及一般的国际环境中的表演和合作方面获得丰富的经验。通过个人社交媒体,基于Web 2.0的论坛,精心整合的活动,例如针对本科生的研究以及针对当地学校的外展活动,这一经验也将通过个人社交媒体,基于Web 2.0的论坛,精心整合的活动来分享。特别是,该项目将专门关注少数群体和代表性不足的群体的职业发展。技术摘要:该IRES项目为美国学生提供了与台湾Hsin-Chu的三维集成电路(3DIC)的设计自动化相关的宝贵研究经验,台湾,台湾,世界上最大的半束缚行业。该项目将每年在全国范围内选择五(5)名研究生和两(2)名本科生,并支持他们在十二(12)周期间访问美国国家TSING HUA University(NTHU)的计算机科学系。他们将受到NTHU的教授的指导。主要的研究目标是解决3D IC中的基本问题,并使用这些技术弥合高级3D制造过程与设计人员之间的差距。摩尔定律指出,综合电路上的晶体管密度大约每两年加倍。但是,由于与半导体缩放相关的高成本,这种趋势变得越来越难。因此,半导体行业已开始寻找替代技术,这些技术提供了超出设备扩展限制的路径。在所有可能的替代方案中,三维集成电路(3D IC)通常被认为是最有前途的综合电路,至少在未来十年中,它与当前技术的完全兼容。它没有使晶体管较小,而是垂直堆叠多个芯片,以提高整合密度,较短的电线,较小的占地面积,更高的速度和较低的功耗。因此,近年来,3D IC已成为学术研究和行业实践中的一个非常热门的话题。这些学生将研究与3D IC的产量提高和两种有前途的3D技术的新型设计流有关的项目 - 基于Interposer的3D IC和Monolithic 3D IC。这项研究可以显着提高3D IC的产量,而无需涉及面积罚款。可以预计,NTHU的IRES项目的突破可能会对3D IC行业产生直接影响。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Yiyu Shi其他文献

Optimal selected phasor measurement units for identifying multiple line outages in smart grid
用于识别智能电网中多条线路停电的最佳选择相量测量单元
HS3-DPG: Hierarchical Simulation for 3-D P/G Network
HS3-DPG:3-D P/G 网络的分层仿真
Optimizing sequential diagnostic strategy for large-scale engineering systems using a quantum-inspired genetic algorithm: A comparative study [J]. , 2019(12). (SCI)
使用量子启发遗传算法优化大型工程系统的顺序诊断策略:比较研究[J]。
  • DOI:
  • 发表时间:
    2019
  • 期刊:
  • 影响因子:
    8.7
  • 作者:
    Jinsong Yu;Yiyu Shi;Diyin Tang;Hao Liu;Limei Tian
  • 通讯作者:
    Limei Tian
DLBC: A Deep Learning-Based Consensus in Blockchains for Deep Learning Services
DLBC:深度学习服务区块链中基于深度学习的共识
  • DOI:
  • 发表时间:
    2019
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Boyang Li;Changhao Chenli;Xiaowei Xu;Yiyu Shi;Taeho Jung
  • 通讯作者:
    Taeho Jung
Combating Data Leakage Trojans in Commercial and ASIC Applications With Time-Division Multiplexing and Random Encoding
利用时分复用和随机编码对抗商业和 ASIC 应用中的数据泄露木马

Yiyu Shi的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('Yiyu Shi', 18)}}的其他基金

Collaborative Research: DESC: Type II: REFRESH: Revisiting Expanding FPGA Real-estate for Environmentally Sustainability Heterogeneous-Systems
合作研究:DESC:类型 II:REFRESH:重新审视扩展 FPGA 空间以实现环境可持续性异构系统
  • 批准号:
    2324865
  • 财政年份:
    2023
  • 资助金额:
    $ 24.97万
  • 项目类别:
    Standard Grant
FuSe-TG: Cross-layer Co-Design for Self-Evolving Implantable Devices
FuSe-TG:自我进化植入设备的跨层协同设计
  • 批准号:
    2235364
  • 财政年份:
    2023
  • 资助金额:
    $ 24.97万
  • 项目类别:
    Standard Grant
IRES Track I: International Research Experience for Students on Artificial Intelligence for Congenital Heart Diseases
IRES Track I:先天性心脏病人工智能学生国际研究经验
  • 批准号:
    2106416
  • 财政年份:
    2021
  • 资助金额:
    $ 24.97万
  • 项目类别:
    Standard Grant
Collaborative Research: CNS Core: Small: Towards Unsupervised Learning on Resource Constrained Edge Devices with Novel Statistical Contrastive Learning Scheme
合作研究:CNS 核心:小型:利用新颖的统计对比学习方案在资源受限的边缘设备上实现无监督学习
  • 批准号:
    2122220
  • 财政年份:
    2021
  • 资助金额:
    $ 24.97万
  • 项目类别:
    Standard Grant
RAPID: Collaborative Research: Independent Component Analysis Inspired Statistical Neural Networks for 3D CT Scan Based Edge Screening of COVID-19
RAPID:协作研究:独立成分分析启发的统计神经网络,用于基于 3D CT 扫描的 COVID-19 边缘筛查
  • 批准号:
    2027539
  • 财政年份:
    2020
  • 资助金额:
    $ 24.97万
  • 项目类别:
    Standard Grant
Collaborative Research: CNS Core: Small: Intermittent and Incremental Inference with Statistical Neural Network for Energy-Harvesting Powered Devices
合作研究:CNS 核心:小型:利用统计神经网络对能量收集供电设备进行间歇和增量推理
  • 批准号:
    2007302
  • 财政年份:
    2020
  • 资助金额:
    $ 24.97万
  • 项目类别:
    Standard Grant
SPX: Collaborative Research: Scalable Neural Network Paradigms to Address Variability in Emerging Device based Platforms for Large Scale Neuromorphic Computing
SPX:协作研究:可扩展神经网络范式,以解决基于新兴设备的大规模神经形态计算平台的可变性
  • 批准号:
    1919167
  • 财政年份:
    2019
  • 资助金额:
    $ 24.97万
  • 项目类别:
    Standard Grant
Phase 1 IUCRC University of Notre Dame: Center for Alternative Sustainable and Intelligent Computing (ASIC)
第一阶段 IUCRC 圣母大学:替代可持续和智能计算中心 (ASIC)
  • 批准号:
    1822099
  • 财政年份:
    2018
  • 资助金额:
    $ 24.97万
  • 项目类别:
    Continuing Grant
University of Notre Dame Planning Grant: I/UCRC for Alternative Sustainable and Intelligent Computing (ASIC)
圣母大学规划补助金:I/UCRC 替代可持续和智能计算 (ASIC)
  • 批准号:
    1650473
  • 财政年份:
    2017
  • 资助金额:
    $ 24.97万
  • 项目类别:
    Standard Grant
IRES: International Research Experience for Students on Design Automation of Three-Dimensional Integrated Circuits
IRES:三维集成电路设计自动化学生国际研究经验
  • 批准号:
    1559029
  • 财政年份:
    2015
  • 资助金额:
    $ 24.97万
  • 项目类别:
    Standard Grant

相似国自然基金

中美贸易摩擦对中国科技创新的影响研究:基于国际科技交流合作的视角
  • 批准号:
    72303211
  • 批准年份:
    2023
  • 资助金额:
    30 万元
  • 项目类别:
    青年科学基金项目
中国国际发展合作在非洲的经济社会效益的研究
  • 批准号:
    72303009
  • 批准年份:
    2023
  • 资助金额:
    30 万元
  • 项目类别:
    青年科学基金项目
增加值贸易视角下虚拟水国际贸易的核算、网络特征及影响因素研究
  • 批准号:
    72363021
  • 批准年份:
    2023
  • 资助金额:
    28 万元
  • 项目类别:
    地区科学基金项目
动荡变革期国际工程承包商社会责任的马尔可夫决策机理研究
  • 批准号:
    72301045
  • 批准年份:
    2023
  • 资助金额:
    30 万元
  • 项目类别:
    青年科学基金项目
国际油价复杂波动的精细化集成预测及对能源低碳转型的影响机理研究
  • 批准号:
    72304217
  • 批准年份:
    2023
  • 资助金额:
    30 万元
  • 项目类别:
    青年科学基金项目

相似海外基金

IRES Track 1: International Research Experiences for Students: Phase II: Into the Magmatic Roots: Interactions Between Magmatism, Tectonics, and Sedimentation
IRES 轨道 1:学生国际研究经验:第二阶段:深入岩浆根源:岩浆作用、构造和沉积之间的相互作用
  • 批准号:
    2245854
  • 财政年份:
    2023
  • 资助金额:
    $ 24.97万
  • 项目类别:
    Standard Grant
IRES Track I: International Research Experience for Students in Computational Nanoscience
IRES Track I:计算纳米科学学生的国际研究经验
  • 批准号:
    2245029
  • 财政年份:
    2023
  • 资助金额:
    $ 24.97万
  • 项目类别:
    Standard Grant
IRES Track 1: International Research Experiences for Students in AI-Enabled Decision Analytics for Advancing Air Taxi and Drone Operations
IRES Track 1:学生在人工智能决策分析方面的国际研究经验,以推进空中出租车和无人机运营
  • 批准号:
    2245469
  • 财政年份:
    2023
  • 资助金额:
    $ 24.97万
  • 项目类别:
    Standard Grant
IRES Track 1: International Research Experiences in Learning based Connected and Autonomous Vehicles (CAVs) with Real-World Implementations
IRES 轨道 1:基于学习的联网自动驾驶汽车 (CAV) 的国际研究经验及其实际实施
  • 批准号:
    2246347
  • 财政年份:
    2023
  • 资助金额:
    $ 24.97万
  • 项目类别:
    Standard Grant
IRES Track 1:International Research Experience in Functional Nanomaterials in Japan
IRES Track 1:日本功能纳米材料的国际研究经验
  • 批准号:
    2246252
  • 财政年份:
    2023
  • 资助金额:
    $ 24.97万
  • 项目类别:
    Standard Grant
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了