Collaborative Research: SHF: Medium: Tiny Chiplets for Big AI: A Reconfigurable-On-Package System

合作研究:SHF:中:用于大人工智能的微型芯片:可重新配置的封装系统

基本信息

  • 批准号:
    2403409
  • 负责人:
  • 金额:
    $ 40万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2024
  • 资助国家:
    美国
  • 起止时间:
    2024-07-01 至 2028-06-30
  • 项目状态:
    未结题

项目摘要

As monolithic chips reach their technological and practical limits, the integration of chiplets is emerging as the primary mechanism to continuously scale up processor performance, improve power efficiency, enhance IP reuse at low cost, and expedite time-to-market. This new concept of composable chiplets is particularly appealing to the artificial intelligence (AI) sector, which is in a pressing need to deliver computing chips to support increasingly complex and diverse cognitive algorithms. This project aims to pioneer such a computing system, including new architectural and design automation tools, for massive AI workloads. The envisioned system will benefit various scenarios, ranging from high-performance computing applications to mobile and edge devices. This project also addresses the skill shortage in the semiconductor area, a crucial aspect for reshoring the semiconductor industry. It involves training students in the areas of heterogeneous system design, AI architectures, and design automation. The investigators plan to improve the knowledge base through new curriculum development, engaging undergraduate students in research through Research Experiences for Undergraduates (REU) supplement, and participating in outreach programs customized for K-12 students. In addition, this project will advocate web-based knowledge dissemination including releasing software codes and novel designs. Several workshops and tutorials promoting chiplet-based co-design have been organized by the investigators and will be continued.Distinguished from current practice of 2.5D/3D heterogeneous integration (HI), this project aims to transform the architecture of chiplet-based design through three unique perspectives: Miniaturization to reduce the chiplet size to the minimum (tiny chiplets) for high composability, guided by AI computing cores; Very-large-scale integration to integrate thousands of tiny chiplets to scale up computing power and diversity for big AI applications, offering unprecedented flexibility and efficiency for AI algorithm and system designers; and Reconfiguration on the package to enable adaptation to varying workloads and address thermal and reliability concerns in 2.5D/3D packaging. These innovations will push the limits of architecture and physical design, addressing challenges related to chiplet definition, interconnection, power and thermal integrity, and workload mapping. The objective is to create a suite of design automation tools, streamlining the complete design process of reconfigurable chiplet-based systems for big AI computing.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.
随着单片芯片达到其技术和实际极限,小芯片的集成正在成为不断扩展处理器性能、提高能效、以低成本增强 IP 重用以及加快上市时间的主要机制。这种可组合小芯片的新概念对人工智能 (AI) 领域特别有吸引力,该领域迫切需要提供计算芯片来支持日益复杂和多样化的认知算法。该项目旨在开创这样一个计算系统,包括新的架构和设计自动化工具,用于大规模人工智能工作负载。设想的系统将有利于各种场景,从高性能计算应用程序到移动和边缘设备。该项目还解决了半导体领域的技能短缺问题,这是半导体行业回流的一个关键方面。它涉及对异构系统设计、人工智能架构和设计自动化领域的学生进行培训。研究人员计划通过新课程开发、通过本科生研究经验 (REU) 补充让本科生参与研究以及参与为 K-12 学生定制的外展计划来改善知识库。此外,该项目将倡导基于网络的知识传播,包括发布软件代码和新颖的设计。研究人员已经组织了多个促进基于chiplet的协同设计的研讨会和教程,并将继续进行。与当前2.5D/3D异构集成(HI)的实践不同,该项目旨在通过以下方式改变基于chiplet的设计架构:三个独特的视角: 小型化,将小芯片尺寸降至最小(微型小芯片),以实现高可组合性,以人工智能计算核心为指导;超大规模集成,集成数千个微小芯片,以扩展大型人工智能应用的计算能力和多样性,为人工智能算法和系统设计人员提供前所未有的灵活性和效率;对封装进行重新配置,以适应不同的工作负载并解决 2.5D/3D 封装中的散热和可靠性问题。这些创新将突破架构和物理设计的极限,解决与小芯片定义、互连、电源和热完整性以及工作负载映射相关的挑战。目标是创建一套设计自动化工具,简化用于大人工智能计算的可重构小芯片系统的完整设计流程。该奖项反映了 NSF 的法定使命,并通过利用基金会的智力优势和更广泛的评估进行评估,认为值得支持。影响审查标准。

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 }}

Jun Zhang其他文献

Machine Learning-Based Prediction of Dynamic Responses of a Tower Crane under Strong Coastal Winds
基于机器学习的塔式起重机在强海岸风下的动态响应预测
Morphology evolution of a liquid crystalline polymer in polycarbonate matrix enhanced by the addition of glass beads
添加玻璃珠增强聚碳酸酯基质中液晶聚合物的形态演变
  • DOI:
    10.1016/j.compscitech.2005.11.019
  • 发表时间:
    2006-09-01
  • 期刊:
  • 影响因子:
    9.1
  • 作者:
    Peng Chen;Lichuan Wu;Yanfen Ding;Jun Zhang;Jia
  • 通讯作者:
    Jia
Mechanical analysis of fixed geosynthetic technique of GRPS embankment
GRPS路堤固定土工合成材料力学分析
Broadband coherent anti-Stokes Raman scattering light generation in BBO crystal by using two crossing femtosecond laser pulses.
使用两个交叉的飞秒激光脉冲在 BBO 晶体中产生宽带相干反斯托克斯拉曼散射光。
  • DOI:
    10.1364/ol.33.001494
  • 发表时间:
    2008-07-01
  • 期刊:
  • 影响因子:
    3.6
  • 作者:
    Jun Liu;Jun Zhang;Takayoshi Kobayashi
  • 通讯作者:
    Takayoshi Kobayashi
Clostridium difficile-associated diarrhea following the therapy with antibiotic and proton pump inhibitors in a 77-year-old man with several comorbidities
一名患有多种合并症的 77 岁男性在接受抗生素和质子泵抑制剂治疗后出现艰难梭菌相关性腹泻
  • DOI:
    10.1097/md.0000000000015004
  • 发表时间:
    2019-03-01
  • 期刊:
  • 影响因子:
    1.6
  • 作者:
    Xiaoqun Lv;Jun Zhang;Miao Jiang;Yujuan Liu;Weifang Ren;Zhonghong Fang
  • 通讯作者:
    Zhonghong Fang

Jun Zhang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('Jun Zhang', 18)}}的其他基金

Collaborative Research: Understanding Tropical Cyclone Energetics and Intensification in Environmental Vertical Wind Shear
合作研究:了解热带气旋能量学和环境垂直风切变的强化
  • 批准号:
    2211308
  • 财政年份:
    2022
  • 资助金额:
    $ 40万
  • 项目类别:
    Standard Grant
Regulatory functions of intrinsically disordered electronegative clusters (ENC) in RNA-binding proteins
RNA结合蛋白中本质无序的负电簇(ENC)的调节功能
  • 批准号:
    2024964
  • 财政年份:
    2020
  • 资助金额:
    $ 40万
  • 项目类别:
    Standard Grant
Collaborative Research: EAGER--Effect of Eddy Forcing Induced by Eyewall and Rainband Convection on Tropical Cyclone Rapid Intensification
合作研究:EAGER——眼壁和雨带对流引起的涡强迫对热带气旋快速增强的影响
  • 批准号:
    1822128
  • 财政年份:
    2018
  • 资助金额:
    $ 40万
  • 项目类别:
    Standard Grant
MRI: Acquisition of Instrumentation on Experimental Studies on Interactions of Unsteady Flows and Dynamical Boundaries
MRI:获取用于非定常流与动态边界相互作用实验研究的仪器
  • 批准号:
    0821520
  • 财政年份:
    2008
  • 资助金额:
    $ 40万
  • 项目类别:
    Standard Grant
A Unified Framework for Large Scale Scientific Computing
大规模科学计算的统一框架
  • 批准号:
    0727600
  • 财政年份:
    2007
  • 资助金额:
    $ 40万
  • 项目类别:
    Standard Grant
Information Geometry with Application to Model Selection
信息几何在模型选择中的应用
  • 批准号:
    0631541
  • 财政年份:
    2006
  • 资助金额:
    $ 40万
  • 项目类别:
    Standard Grant
MSPA-MCS: Mathematical and Computational Algorithms for Visualization of Human Brain Neural Pathways
MSPA-MCS:人脑神经通路可视化的数学和计算算法
  • 批准号:
    0527967
  • 财政年份:
    2005
  • 资助金额:
    $ 40万
  • 项目类别:
    Standard Grant
SOFTWARE: A Software Environment for High Performance Scientific Computing Applications
软件:高性能科学计算应用程序的软件环境
  • 批准号:
    0234270
  • 财政年份:
    2003
  • 资助金额:
    $ 40万
  • 项目类别:
    Standard Grant
ALGORITHMS: New Concept and Parallel Algorithms for Robust Preconditioning in Large Scale Parallel Matrix Computation
算法:大规模并行矩阵计算中鲁棒预处理的新概念和并行算法
  • 批准号:
    0202934
  • 财政年份:
    2002
  • 资助金额:
    $ 40万
  • 项目类别:
    Standard Grant
CAREER: Develop Robust Scalable Linear System Solvers with Scientific, Engineering and Industrial Applications
职业:开发具有科学、工程和工业应用的鲁棒可扩展线性系统求解器
  • 批准号:
    0092532
  • 财政年份:
    2001
  • 资助金额:
    $ 40万
  • 项目类别:
    Standard Grant

相似国自然基金

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
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
超高频光声频谱渐进式调制下的光声显微成像轴向分辨率提升研究
  • 批准号:
    62265011
  • 批准年份:
    2022
  • 资助金额:
    34 万元
  • 项目类别:
    地区科学基金项目

相似海外基金

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:
    $ 40万
  • 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:
    $ 40万
  • 项目类别:
    Standard Grant
Collaborative Research: SHF: Medium: Enabling GPU 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 GPU 性能仿真
  • 批准号:
    2402806
  • 财政年份:
    2024
  • 资助金额:
    $ 40万
  • 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:
    $ 40万
  • 项目类别:
    Standard Grant
Collaborative Research: SHF: Medium: Toward Understandability and Interpretability for Neural Language Models of Source Code
合作研究:SHF:媒介:实现源代码神经语言模型的可理解性和可解释性
  • 批准号:
    2423813
  • 财政年份:
    2024
  • 资助金额:
    $ 40万
  • 项目类别:
    Standard Grant
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了