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)

基本信息

  • 批准号:
    1650473
  • 负责人:
  • 金额:
    $ 1.5万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2017
  • 资助国家:
    美国
  • 起止时间:
    2017-03-01 至 2018-02-28
  • 项目状态:
    已结题

项目摘要

This project will help plan for a potential NSF I/UCRC in Alternative Sustainable and Intelligent Computing (ASIC), in order to explore research frontiers in emerging computing platforms for cognitive applications, including speech recognition, face detection and election insights, etc. The planning of the I/UCRC center will be carried out under a unified banner, with inputs from academia, industry, and government stakeholders. As a result, the center will serve as a national platform for interdisciplinary research and communication, charged with investigating advanced computing platforms relevant to various topics of national interests such as national security and smart living, with an eye toward commercialization and economic development for the nation. It will pave the way for designing new computing diagram to address the White House Grand Challenge of developing transformational computing capabilities.Motivated by the fast growth of cognitive applications and the recent significant development progress of underlined technologies, the center will focus on designing alternative computing platforms for these applications, which is generally difficult to be efficiently executed on conventional von Neumann architecture. Industry is in great demand for a revolutionary computing platform designated to these applications and the planned academia-industry consortium is well positioned to meet such demanding needs with real-world applications. The establishment of ASIC, hence, will accelerate the development of the new computing diagram in industry sectors and expedite technology transfer from research discoveries to practical solutions. The University of Notre Dame Site of the proposed Center will focus on hardware innovations, especially infrastructure and implementation, based on its wide connections with the corresponding industry. The research projects performed, if succeed, will benefit computer and IT industries by introducing alternative computing platforms that well complement the conventional systems built on von Neumann architecture in short term, and position alternative sustainability and intelligent computing equivalently important in long term. The obtained knowledge and expertise will effectively backup the predictable booming of cognitive applications and their urgent demands for hardware and software supports. The talents and expertise of center PIs and the industry partners will be effectively integrated to enhance the competence of the center members and accelerate technology transfer process. The key transformative aspect of the planned ASIC is that, the success of the project will make great advances in seamlessly integrating non von Neumann vs. von Neumann architectures for future computing. Upon completion, this planning project will prepare a solid full center proposal for Phase I with strong supports from industry and government members. Broader impacts of the project will be reached by wide dissemination of the project outcomes via publications, seminars, tutorials and workshops, as well as industrial and military courses, social media and technology transfer activities. Students will receive invaluable experience in industry relevant applied research and networking opportunities with industry representatives in order to capitalize these experiences for their eventual employment.
该项目将帮助规划潜在的NSF I/UCRC在可替代可持续和智能计算(ASIC)方面的研究,以探索新兴计算平台在认知应用方面的研究前沿,包括语音识别、人脸检测和选举洞察等。I/UCRC中心的规划将在一个统一的旗帜下进行,包括学术界,工业界和政府利益相关者的投入。因此,该中心将成为国家跨学科研究和交流的国家平台,负责研究与国家安全和智能生活等国家利益相关的各种先进计算平台,并着眼于国家的商业化和经济发展。它将为设计新的计算图表铺平道路,以应对白宫发展转型计算能力的重大挑战。由于认知应用的快速发展和近年来重点技术的重大发展进展,该中心将专注于为这些应用设计替代计算平台,这些平台通常难以在传统的冯·诺依曼架构上有效执行。工业界对为这些应用程序指定的革命性计算平台有很大的需求,而计划中的学术界-工业界联盟将很好地满足现实世界应用程序的这种苛刻需求。因此,ASIC的建立将加速工业部门新计算图的发展,并加快从研究发现到实际解决方案的技术转移。拟议中心的圣母大学网站将基于其与相应行业的广泛联系,专注于硬件创新,特别是基础设施和实施。这些研究项目如果成功,将通过引入替代计算平台,在短期内很好地补充建立在冯·诺伊曼架构上的传统系统,使计算机和IT行业受益,并使替代可持续性和智能计算在长期内同等重要。获得的知识和专业知识将有效地支持可预测的认知应用的蓬勃发展及其对硬件和软件支持的迫切需求。中心pi和行业合作伙伴的人才和专业知识将有效整合,以提高中心成员的能力,加快技术转移过程。计划中的ASIC的关键变革方面是,该项目的成功将在无缝集成非冯诺伊曼与冯诺伊曼架构方面取得巨大进步,以实现未来的计算。该规划项目完成后,将在业界和政府成员的大力支持下,为第一阶段准备一份坚实的全中心提案。项目成果将通过出版物、研讨会、教程和讲习班以及工业和军事课程、社会媒体和技术转让活动广泛传播,从而产生更广泛的影响。学生将在行业相关的应用研究中获得宝贵的经验,并有机会与行业代表建立联系,以便将这些经验用于最终的就业。

项目成果

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Yiyu Shi其他文献

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
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
HS3-DPG: Hierarchical Simulation for 3-D P/G Network
HS3-DPG:3-D P/G 网络的分层仿真
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
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

Yiyu Shi的其他文献

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{{ 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:
    $ 1.5万
  • 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:
    $ 1.5万
  • 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:
    $ 1.5万
  • 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:
    $ 1.5万
  • 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:
    $ 1.5万
  • 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:
    $ 1.5万
  • 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:
    $ 1.5万
  • 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:
    $ 1.5万
  • 项目类别:
    Continuing 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:
    1456867
  • 财政年份:
    2015
  • 资助金额:
    $ 1.5万
  • 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:
    $ 1.5万
  • 项目类别:
    Standard Grant

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