Collaborative Research: SHF: Medium: Hardware and Software Support for Memory-Centric Computing Systems

协作研究:SHF:中:以内存为中心的计算系统的硬件和软件支持

基本信息

  • 批准号:
    2312508
  • 负责人:
  • 金额:
    $ 33.4万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Continuing Grant
  • 财政年份:
    2023
  • 资助国家:
    美国
  • 起止时间:
    2023-12-15 至 2026-11-30
  • 项目状态:
    未结题

项目摘要

Modern data-center applications are becoming increasingly memory-intensive and severely constrained by the limitations of the traditional von Neumann architecture. The emerging hardware ecosystem of Compute Express Link (CXL) opens an unprecedented opportunity to enable a radically new in-memory computing paradigm that can effectively mitigate the von Neumann bottleneck for future memory-centric applications. However, to fully unlock the potential of this emerging technology, several fundamental research challenges must be adequately addressed. This research project takes a holistic and cohesive approach to develop solutions that tackle the challenges head-on, paving the way for the future of in-memory computing infrastructure and fundamentally impacting memory-centric applications. Furthermore, the academic activities in this project extend their impact by providing training opportunities to students, enriching curriculum and classroom teaching, and contributing to educational and outreach initiatives. This project spearheads the fundamental research aimed at overcoming three pivotal challenges that hinder the realization of in-memory computing: fragmented memory resources, insufficient architectural support for memory sharing, and inefficient separation between hardware and software models. Leveraging the emerging CXL technology, this project adopts a systematic design methodology to address these intricate issues. It involves comprehensive efforts spanning multiple layers within the system stack, featuring the development of advanced hardware functionalities, the optimization of memory resource utilization in the system, and the integration of hardware support into general programming platforms to expedite applications. The research undertaken in this project lays the groundwork for fundamental studies that cater to the pressing demands of data-intensive applications in the realm of future memory-centric 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.
现代数据中心应用程序的内存占用越来越多,并且受到传统冯·诺依曼架构的限制。Compute Express Link(CXL)的新兴硬件生态系统为实现全新的内存计算范式提供了前所未有的机会,该范式可以有效缓解未来以内存为中心的应用程序的冯诺依曼瓶颈。然而,为了充分释放这一新兴技术的潜力,必须充分解决几个基础研究挑战。该研究项目采用整体和有凝聚力的方法来开发解决方案,以正面应对挑战,为内存计算基础设施的未来铺平道路,并从根本上影响以内存为中心的应用程序。此外,该项目中的学术活动通过为学生提供培训机会、丰富课程和课堂教学以及促进教育和外联举措来扩大其影响。 该项目率先开展了基础研究,旨在克服阻碍内存计算实现的三个关键挑战:碎片化的内存资源,对内存共享的架构支持不足,以及硬件和软件模型之间的低效分离。利用新兴的CXL技术,该项目采用系统的设计方法来解决这些复杂的问题。它涉及系统堆栈内多个层次的综合努力,包括开发高级硬件功能,优化系统中的内存资源利用,以及将硬件支持集成到通用编程平台中以加快应用程序。该项目的研究为满足未来以内存为中心的计算领域中数据密集型应用的迫切需求奠定了基础。该奖项反映了NSF的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估而被认为值得支持。

项目成果

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Tong Zhang其他文献

Interactive visual analytics of moving passenger flocks using massive smart card data
使用大量智能卡数据对移动旅客群进行交互式视觉分析
Stacked Broad Learning System: From Incremental Flatted Structure to Deep Model
堆叠式广义学习系统:从增量扁平化结构到深度模型
Application of A Priori Map in Dynamic Background Removal for Indoor Human Perception Using a Thermopile Array
先验图在使用热电堆阵列的室内人体感知动态背景去除中的应用
  • DOI:
    10.1109/jsen.2021.3130199
  • 发表时间:
    2022-01
  • 期刊:
  • 影响因子:
    4.3
  • 作者:
    Tong Zhang;Bo Yang;Nanhao Gu
  • 通讯作者:
    Nanhao Gu
Simultaneous enhancement of performance and insensitivity to active layer thickness for OPVs by functionalizing π-spacer's side chain
通过功能化 pi-spacer 的侧链,同时增强 OPV 的性能和对活性层厚度的不敏感性
  • DOI:
    10.1039/c6py00920d
  • 发表时间:
    2016-08
  • 期刊:
  • 影响因子:
    4.6
  • 作者:
    Dalei Yang;Tong Zhang;Guang Zeng;Zidong Li;Yumeng Tian;Fagui He;Jidong Zhang;Xiaoli Zhao;Xiaoniu Yang
  • 通讯作者:
    Xiaoniu Yang
Role of the Cyclic AMP Response Element Binding Complex and Activation of Mitogen-Activated Protein Kinases in Synergistic Activation of the Glycoprotein Hormone α Subunit Gene by Epidermal Growth Factor and Forskolin
表皮生长因子和毛喉素协同激活糖蛋白激素 α 亚基基因中环 AMP 响应元件结合复合物和丝裂原激活蛋白激酶激活的作用
  • DOI:
  • 发表时间:
    2000
  • 期刊:
  • 影响因子:
    5.3
  • 作者:
    M. Roberson;Makiko Ban;Tong Zhang;J. M. Mulvaney
  • 通讯作者:
    J. M. Mulvaney

Tong Zhang的其他文献

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{{ truncateString('Tong Zhang', 18)}}的其他基金

Collaborative Research: SHF: Medium: A New Direction of Research and Development to Fulfill the Promise of Computational Storage
合作研究:SHF:Medium:实现计算存储承诺的研发新方向
  • 批准号:
    2210754
  • 财政年份:
    2022
  • 资助金额:
    $ 33.4万
  • 项目类别:
    Continuing Grant
CNS Core:Small: Re-thinking the Design of Data Management Software Upon the Arrival of SSDs with Built-in Transparent Compression
CNS Core:小:内置透明压缩的 SSD 到来后重新思考数据管理软件的设计
  • 批准号:
    2006617
  • 财政年份:
    2020
  • 资助金额:
    $ 33.4万
  • 项目类别:
    Standard Grant
CSR: Small: Software-defied HDDs: A System-centric Design Framework to Minimize Data Storage Cost for Data Centers
CSR:小型:软件定义的 HDD:以系统为中心的设计框架,可最大限度地降低数据中心的数据存储成本
  • 批准号:
    1814890
  • 财政年份:
    2018
  • 资助金额:
    $ 33.4万
  • 项目类别:
    Standard Grant
XPS: FULL: Collaborative Research: Maximizing the Performance Potential and Reliability of Flash-based Solid State Devices for Future Storage Systems
XPS:完整:协作研究:最大限度地提高未来存储系统基于闪存的固态设备的性能潜力和可靠性
  • 批准号:
    1629218
  • 财政年份:
    2016
  • 资助金额:
    $ 33.4万
  • 项目类别:
    Standard Grant
XPS: EXPL: Exploring the Design Space of Augmented Memory Controllers with Native Support for In-Memory Data Storage
XPS:EXPL:探索具有内存数据存储本机支持的增强型内存控制器的设计空间
  • 批准号:
    1629201
  • 财政年份:
    2016
  • 资助金额:
    $ 33.4万
  • 项目类别:
    Standard Grant
Collaborative Research: Redesigning Video Streaming Infrastructure to Systematically Reduce Mobile Device Video Display Energy Consumption in the Video-rich Era
合作研究:重新设计视频流基础设施,系统地降低视频丰富时代的移动设备视频显示能耗
  • 批准号:
    1406154
  • 财政年份:
    2014
  • 资助金额:
    $ 33.4万
  • 项目类别:
    Standard Grant
Collaborative Research: Eliminating the Energy Efficiency Barrier of Reconfigurable Architectures for Diverse Signal Processing in Mobile Devices
合作研究:消除移动设备中多样化信号处理的可重构架构的能效障碍
  • 批准号:
    1201877
  • 财政年份:
    2012
  • 资助金额:
    $ 33.4万
  • 项目类别:
    Standard Grant
CSR: Medium: Collaborative Research: On Closed-Loop and Cross-Layer Design and Implementation of Data Storage Systems Utilizing Extremely Scaled NAND Flash Memory Technologies
CSR:中:协作研究:利用超大规模 NAND 闪存技术的数据存储系统的闭环和跨层设计与实现
  • 批准号:
    1162152
  • 财政年份:
    2012
  • 资助金额:
    $ 33.4万
  • 项目类别:
    Continuing Grant
Collaborative Research: Cross-Layer and Unified Signal Processing System Design for Ultra-High-Capacity Next-Generation Magnetic Storage
合作研究:超高容量下一代磁存储的跨层和统一信号处理系统设计
  • 批准号:
    1128148
  • 财政年份:
    2011
  • 资助金额:
    $ 33.4万
  • 项目类别:
    Continuing Grant
High Dimensional Statistical Theory for Sparse Regularization
稀疏正则化的高维统计理论
  • 批准号:
    1007527
  • 财政年份:
    2010
  • 资助金额:
    $ 33.4万
  • 项目类别:
    Continuing Grant

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协作研究:SHF:小型:LEGAS:大规模学习演化图
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