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
- 来源:
- 关键词:
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替代可持续和智能计算(ASIC)领域,以探索认知应用新兴计算平台的研究前沿,包括语音识别、人脸检测和选举洞察等。 I/UCRC 中心的工作将在统一的旗帜下进行,并得到学术界、工业界和政府利益相关者的投入。因此,该中心将作为国家跨学科研究和交流平台,负责研究与国家安全和智能生活等各种国家利益主题相关的先进计算平台,着眼于国家的商业化和经济发展。它将为设计新的计算图铺平道路,以应对白宫发展转型计算能力的重大挑战。在认知应用的快速增长和近期相关技术的重大发展进展的推动下,该中心将专注于设计替代计算平台对于这些应用程序,通常很难在传统的冯·诺依曼架构上有效执行。工业界对专门针对这些应用程序的革命性计算平台有着巨大的需求,而计划中的学术界与工业界联盟完全有能力满足现实世界应用程序的这种苛刻需求。因此,ASIC的建立将加速工业领域新计算图的发展,并加速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站点将基于其与相应行业的广泛联系,重点关注硬件创新,特别是基础设施和实施。所开展的研究项目如果成功,将通过引入替代计算平台使计算机和 IT 行业受益,这些平台在短期内可以很好地补充基于冯·诺依曼架构构建的传统系统,并在长期内使替代可持续性和智能计算同等重要。所获得的知识和专业知识将有效支持认知应用的可预测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得到有效整合,以提高中心成员的能力并加速技术转移进程。计划中的 ASIC 的关键变革方面在于,该项目的成功将为未来计算无缝集成非冯诺依曼架构与冯诺依曼架构带来巨大进步。完成后,该规划项目将为第一阶段准备一份坚实的全中心提案,并得到行业和政府成员的大力支持。该项目将通过出版物、研讨会、教程和讲习班以及工业和军事课程、社交媒体和技术转让活动广泛传播项目成果,从而实现更广泛的影响。学生将获得行业相关应用研究的宝贵经验以及与行业代表建立联系的机会,以便将这些经验用于他们的最终就业。
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)
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Yiyu Shi其他文献
The ‘6K1’ protein of a strain of Soybean mosaic virus localizes to the cell periphery
大豆花叶病毒株的“6K1”蛋白定位于细胞外围
- DOI:
10.1007/s00705-007-0972-7 - 发表时间:
2007-04-26 - 期刊:
- 影响因子:2.7
- 作者:
X.;Jiong Chen;Yiyu Shi;Jianping Chen - 通讯作者:
Jianping Chen
Toward Fairness via Maximum Mean Discrepancy Regularization on Logits Space
通过 Logits 空间上的最大均值差异正则化实现公平
- DOI:
10.48550/arxiv.2402.13061 - 发表时间:
2024-02-20 - 期刊:
- 影响因子:0
- 作者:
Hao;Ching;Yu;Yiyu Shi;Tsung - 通讯作者:
Tsung
DeU-Net 2.0: Enhanced deformable U-Net for 3D cardiac cine MRI segmentation
DeU-Net 2.0:用于 3D 心脏电影 MRI 分割的增强型可变形 U-Net
- DOI:
10.1016/j.media.2022.102389 - 发表时间:
2022-02-01 - 期刊:
- 影响因子:10.9
- 作者:
Shunjie Dong;Zixuan Pan;Yu Fu;Qianqian Yang;Yuanxue Gao;Tianbai Yu;Yiyu Shi;Cheng Zhuo - 通讯作者:
Cheng Zhuo
Empirical Guidelines for Deploying LLMs onto Resource-constrained Edge Devices
将 LLM 部署到资源受限的边缘设备上的经验指南
- DOI:
10.48550/arxiv.2406.03777 - 发表时间:
2024-06-06 - 期刊:
- 影响因子:0
- 作者:
Ruiyang Qin;Dancheng Liu;Zheyu Yan;Zhaoxuan Tan;Zixuan Pan;Zhenge Jia;Meng Jiang;Ahmed Abbasi;Jinjun Xiong;Yiyu Shi - 通讯作者:
Yiyu Shi
Real-Time Boiler Control Optimization with Machine Learning
通过机器学习进行实时锅炉控制优化
- DOI:
- 发表时间:
2019-03-07 - 期刊:
- 影响因子:0
- 作者:
Yukun Ding;Yiyu Shi - 通讯作者:
Yiyu Shi
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
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
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
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:
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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
CAREER: Opportunistic Through-Silicon-Via Utilization: Device, Circuit and Design Automation Perspectives
职业:机会性硅通孔利用:器件、电路和设计自动化视角
- 批准号:
1559026 - 财政年份:2015
- 资助金额:
$ 1.5万 - 项目类别:
Continuing Grant
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