Collaborative Research: SHF: Small: Tangram: Scaling into the Exascale Era with Reconfigurable Aggregated "Virtual Chips"

合作研究:SHF:小型:七巧板:通过可重构聚合“虚拟芯片”扩展到百亿亿次时代

基本信息

  • 批准号:
    2008477
  • 负责人:
  • 金额:
    $ 21.34万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2020
  • 资助国家:
    美国
  • 起止时间:
    2020-07-15 至 2022-10-31
  • 项目状态:
    已结题

项目摘要

The design of general-purpose processors is reaching a performance bottleneck due to the limitations in technology scaling. Chiplet-based systems offer a promising solution by integrating small dies (chiplets) inside one package. Chiplets also enable heterogeneous integration of discrete chip architectures, such as CPUs, GPUs, DSPs, and FPGAs. However, the design of high-performance chiplet-based systems faces serious challenges: inter-chiplet communication is a critical bottleneck; resource needs to be efficiently shared among the chiplets to improve the performance-cost ratio; power and thermal management need to be optimized for better in-package integration. Consequently, such designs need to take a more holistic approach, and investigations are needed on the cross-cutting issues across the processing nodes, storage and interconnection fabric. This research proposes to build "virtual chips" from heterogeneous aggregated chiplets, so that the system can not only reap the performance benefit of a monolithic super chip but also break the scalability bottleneck. A major outcome of the project will be a set of optimization methods that enable the design of a reconfigurable architecture, leveraging a hybrid wireless interconnection to seamlessly connect the computing and memory components. To this end, the research goals include: (1) design of reconfigurable architectures to break the chiplet boundaries for efficient resource sharing; (2) development of models to quantify interactions between the applications and hardware resources for fast design-space exploration; (3) design of a hybrid wireless interconnection network to seamlessly bridge the physical gaps between chiplets and enable reconfigurable architectures through the flexibility of wireless networks; and (4) design of novel wireless antennas to improve energy and thermal efficiency.The proposed research bridges the gap between multiple layers of the design stack: hardware architectures, networks and devices. Due to its cross-cutting nature, the proposed research has the potential to transform the design of high-performance, energy-efficient and cost-effective systems that are able to meet the demand of emerging applications with growing bandwidth and performance needs. The educational contributions of this research include integrating research with teaching and training, design of tutorials and workshops focusing on the training of future engineers, and interaction with industry to accelerate technology transfer. Through the outreach activities as part of the proposed project, more undergraduate and minority students will be attracted to this field of engineering.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
由于技术扩展的限制,通用处理器的设计正在达到性能瓶颈。基于小芯片的系统通过将小芯片(小芯片)集成到一个封装内,提供了一种有前景的解决方案。 Chiplet 还支持离散芯片架构的异构集成,例如 CPU、GPU、DSP 和 FPGA。然而,基于chiplet的高性能系统的设计面临着严峻的挑战:chiplet间的通信是一个关键瓶颈; Chiplet之间需要高效共享资源,提高性价比;需要优化电源和热管理以实现更好的封装内集成。因此,此类设计需要采取更全面的方法,并且需要对处理节点、存储和互连结构之间的交叉问题进行调查。这项研究提出从异构聚合的小芯片中构建“虚拟芯片”,使系统不仅可以获得单片超级芯片的性能优势,还可以突破可扩展性瓶颈。该项目的主要成果将是一套优化方法,能够设计可重新配置的架构,利用混合无线互连来无缝连接计算和内存组件。为此,研究目标包括:(1)设计可重构架构,打破chiplet边界,实现高效资源共享; (2) 开发模型来量化应用程序和硬件资源之间的交互,以实现快速设计空间探索; (3) 设计混合无线互连网络,以无缝弥合小芯片之间的物理间隙,并通过无线网络的灵活性实现可重构架构; (4) 设计新型无线天线以提高能量和热效率。所提出的研究弥合了设计堆栈多层之间的差距:硬件架构、网络和设备。由于其交叉性质,所提出的研究有可能改变高性能、节能和具有成本效益的系统的设计,这些系统能够满足带宽和性能需求不断增长的新兴应用的需求。 这项研究的教育贡献包括将研究与教学和培训相结合,设计专注于未来工程师培训的教程和研讨会,以及与行业互动以加速技术转让。通过作为拟议项目一部分的外展活动,更多的本科生和少数族裔学生将被吸引到这一工程领域。该奖项反映了 NSF 的法定使命,并通过使用基金会的智力优势和更广泛的影响审查标准进行评估,被认为值得支持。

项目成果

期刊论文数量(2)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
ThingNet: A Lightweight Real-time Mirai IoT Variants Hunter through CPU Power Fingerprinting
ThingNet:通过 CPU 功率指纹识别的轻量级实时 Mirai IoT 变体猎人
Energy-efficient task-resource co-allocation and heterogeneous multi-core NoC design in dark silicon era
暗硅时代节能任务资源协同分配与异构多核NoC设计
  • DOI:
    10.1016/j.micpro.2021.104055
  • 发表时间:
    2021
  • 期刊:
  • 影响因子:
    2.6
  • 作者:
    Reza, Md Farhadur;Zhao, Dan;Bayoumi, Magdy
  • 通讯作者:
    Bayoumi, Magdy
{{ 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 }}

Hongyi Wu其他文献

Optimal Online Data Dissemination for Resource Constrained Mobile Opportunistic Networks
资源受限移动机会网络的最优在线数据传播
  • DOI:
    10.1109/tvt.2016.2616034
  • 发表时间:
    2017-06
  • 期刊:
  • 影响因子:
    6.8
  • 作者:
    Yang Liu;Hongyi Wu;Yuanqing Xia;Yu Wang;Fan Li;Panlong Yang
  • 通讯作者:
    Panlong Yang
Zero-Knowledge Proof of Distinct Identity: a Standard-compatible Sybil-resistant Pseudonym Extension for C-ITS
独特身份的零知识证明:C-ITS 的标准兼容的抗 Sybil 假名扩展
  • DOI:
    10.48550/arxiv.2403.14020
  • 发表时间:
    2024
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Ye Tao;Hongyi Wu;Ehsan Javanmardi;Manabu Tsukada;Hiroshi Esaki
  • 通讯作者:
    Hiroshi Esaki
A knowledge graph-based analytical model for mining clinical value of drug stress echocardiography for diagnosis, risk stratification and prognostic evaluation of coronary artery disease.
基于知识图谱的分析模型,挖掘药物应激超声心动图对冠心病诊断、风险分层和预后评估的临床价值。
Efficient dynamic load balancing algorithms using iCAR systems: a generalized framework
使用 iCAR 系统的高效动态负载平衡算法:通用框架
Recurrent ST-segment elevation in infarct-associated leads
梗塞相关导联反复出现 ST 段抬高
  • DOI:
  • 发表时间:
    2014
  • 期刊:
  • 影响因子:
    5.7
  • 作者:
    Hongyi Wu;J. Qian;J. Ge
  • 通讯作者:
    J. Ge

Hongyi Wu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('Hongyi Wu', 18)}}的其他基金

Collaborative Research: CyberTraining: Implementation: Medium: T3-CIDERS: A Train-the-Trainer Approach to Fostering CI- and Data-Enabled Research in Cybersecurity
协作研究:网络培训:实施:中:T3-CIDERS:一种培训师培训方法,促进网络安全中的 CI 和数据支持研究
  • 批准号:
    2320999
  • 财政年份:
    2023
  • 资助金额:
    $ 21.34万
  • 项目类别:
    Standard Grant
IUCRC Planning Grant Old Dominion University: Center for Wireless Innovation towards Secure, Pervasive, Efficient and Resilient Next G Networks (WISPER)
IUCRC 规划拨款 Old Dominion 大学:实现安全、普遍、高效和有弹性的下一代网络 (WISPER) 的无线创新中心
  • 批准号:
    2209673
  • 财政年份:
    2022
  • 资助金额:
    $ 21.34万
  • 项目类别:
    Standard Grant
Collaborative Research: CCRI: New: Medium: A Development and Experimental Environment for Privacy-preserving and Secure (DEEPSECURE) Machine Learning
合作研究:CCRI:新:媒介:隐私保护和安全(DEEPSECURE)机器学习的开发和实验环境
  • 批准号:
    2245250
  • 财政年份:
    2022
  • 资助金额:
    $ 21.34万
  • 项目类别:
    Standard Grant
IUCRC Planning Grant Old Dominion University: Center for Wireless Innovation towards Secure, Pervasive, Efficient and Resilient Next G Networks (WISPER)
IUCRC 规划拨款 Old Dominion 大学:实现安全、普遍、高效和有弹性的下一代网络 (WISPER) 的无线创新中心
  • 批准号:
    2244902
  • 财政年份:
    2022
  • 资助金额:
    $ 21.34万
  • 项目类别:
    Standard Grant
Collaborative Research: SHF: Small: Tangram: Scaling into the Exascale Era with Reconfigurable Aggregated "Virtual Chips"
合作研究:SHF:小型:七巧板:通过可重构聚合“虚拟芯片”扩展到百亿亿次时代
  • 批准号:
    2245129
  • 财政年份:
    2022
  • 资助金额:
    $ 21.34万
  • 项目类别:
    Standard Grant
Collaborative Research: CCRI: New: Medium: A Development and Experimental Environment for Privacy-preserving and Secure (DEEPSECURE) Machine Learning
合作研究:CCRI:新:媒介:隐私保护和安全(DEEPSECURE)机器学习的开发和实验环境
  • 批准号:
    2120279
  • 财政年份:
    2021
  • 资助金额:
    $ 21.34万
  • 项目类别:
    Standard Grant
NSF INCLUDES Planning Grant: Building Cybersecurity Inclusive Pathways towards Higher Education and Research (CIPHER)
NSF 包括规划拨款:构建通向高等教育和研究的网络安全包容性途径 (CIPHER)
  • 批准号:
    2012941
  • 财政年份:
    2020
  • 资助金额:
    $ 21.34万
  • 项目类别:
    Standard Grant
CyberTraining:CIC: DeapSECURE: A Data-Enabled Advanced Training Program for Cyber Security Research and Education
Cyber​​Training:CIC:DeapSECURE:用于网络安全研究和教育的数据支持高级培训计划
  • 批准号:
    1829771
  • 财政年份:
    2018
  • 资助金额:
    $ 21.34万
  • 项目类别:
    Standard Grant
Planning Grant: Engineering Research Center for Safe and Secure Artificial Intelligence Solutions (SAIS)
规划资助:安全可靠的人工智能解决方案工程研究中心(SAIS)
  • 批准号:
    1840458
  • 财政年份:
    2018
  • 资助金额:
    $ 21.34万
  • 项目类别:
    Standard Grant
MRI Acquisition: A Reconfigurable Computing Infrastructure Enabling Interdisciplinary and Collaborative Research in Hampton Roads
MRI 采集:可重新配置的计算基础设施,支持汉普顿路的跨学科和协作研究
  • 批准号:
    1828593
  • 财政年份:
    2018
  • 资助金额:
    $ 21.34万
  • 项目类别:
    Standard Grant

相似国自然基金

超高频同步整流DC-DC变换器效率优化关键技术研究
  • 批准号:
    62301375
  • 批准年份:
    2023
  • 资助金额:
    30 万元
  • 项目类别:
    青年科学基金项目
衔接蛋白SHF负向调控胶质母细胞瘤中EGFR/EGFRvIII再循环和稳定性的功能及机制研究
  • 批准号:
    82302939
  • 批准年份:
    2023
  • 资助金额:
    30 万元
  • 项目类别:
    青年科学基金项目
面向5G通信的超高频FBAR耗散机理和耗散稳定性研究
  • 批准号:
    12302200
  • 批准年份:
    2023
  • 资助金额:
    30 万元
  • 项目类别:
    青年科学基金项目
宽运行范围超高频逆变系统架构拓扑与调控策略研究
  • 批准号:
    52377175
  • 批准年份:
    2023
  • 资助金额:
    50 万元
  • 项目类别:
    面上项目
强震动环境下10-100Hz超高频GNSS误差精细建模及监测应用研究
  • 批准号:
    42274025
  • 批准年份:
    2022
  • 资助金额:
    56 万元
  • 项目类别:
    面上项目

相似海外基金

Collaborative Research: SHF: Small: LEGAS: Learning Evolving Graphs At Scale
协作研究:SHF:小型:LEGAS:大规模学习演化图
  • 批准号:
    2331302
  • 财政年份:
    2024
  • 资助金额:
    $ 21.34万
  • 项目类别:
    Standard Grant
Collaborative Research: SHF: Small: LEGAS: Learning Evolving Graphs At Scale
协作研究:SHF:小型:LEGAS:大规模学习演化图
  • 批准号:
    2331301
  • 财政年份:
    2024
  • 资助金额:
    $ 21.34万
  • 项目类别:
    Standard Grant
Collaborative Research: SHF: Medium: Differentiable Hardware Synthesis
合作研究:SHF:媒介:可微分硬件合成
  • 批准号:
    2403134
  • 财政年份:
    2024
  • 资助金额:
    $ 21.34万
  • 项目类别:
    Standard Grant
Collaborative Research: SHF: Small: Efficient and Scalable Privacy-Preserving Neural Network Inference based on Ciphertext-Ciphertext Fully Homomorphic Encryption
合作研究:SHF:小型:基于密文-密文全同态加密的高效、可扩展的隐私保护神经网络推理
  • 批准号:
    2412357
  • 财政年份:
    2024
  • 资助金额:
    $ 21.34万
  • 项目类别:
    Standard Grant
Collaborative Research: SHF: Medium: Enabling Graphics Processing Unit Performance Simulation for Large-Scale Workloads with Lightweight Simulation Methods
合作研究:SHF:中:通过轻量级仿真方法实现大规模工作负载的图形处理单元性能仿真
  • 批准号:
    2402804
  • 财政年份:
    2024
  • 资助金额:
    $ 21.34万
  • 项目类别:
    Standard Grant
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了