SHF: Medium:Collaborative Research: Architectural and System Support for Building Versatile Memory Systems
SHF:媒介:协作研究:构建多功能内存系统的架构和系统支持
基本信息
- 批准号:1643271
- 负责人:
- 金额:$ 37.5万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Continuing Grant
- 财政年份:2016
- 资助国家:美国
- 起止时间:2016-01-25 至 2021-06-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Computer memory design is moving into a new era with emerging NVM (non-volatile memory) technologies for increasingly data-intensive applications. This project will investigate a novel memory architecture called versatile memory system that hosts heterogeneous memory technologies to provide a powerful in-memory computing engine, addressing the increasing demands for memory performance, energy efficiency, and reliability from data-intensive applications. It is based on a holistic approach, from low-layer hardware design to high-layer OS management, to address the challenges of complexity and efficiency arising from the integration of heterogeneous NVM technologies. It allows the memory system to be self-adaptive to meet varying application demands on performance, energy efficiency, and reliability. The project will study the framework, critical hardware support, and feasible and meaningful functionalities of the versatile memory system, aiming at improving the performance, energy efficiency, reliability, and manageability of computing systems from mobile to server platforms. It is expected that the outcome of the project will have broader impact on the design of modern computer memory systems both in academia and industry.
计算机存储器设计正在进入一个新的时代,新兴的NVM(非易失性存储器)技术,越来越多的数据密集型应用。该项目将研究一种称为通用存储器系统的新型存储器架构,该架构承载异构存储器技术,以提供强大的内存计算引擎,解决数据密集型应用对存储器性能,能源效率和可靠性日益增长的需求。它是基于一个整体的方法,从低层的硬件设计到高层的操作系统管理,以解决异构NVM技术的集成所带来的复杂性和效率的挑战。它允许存储器系统自适应,以满足不同的应用程序对性能,能效和可靠性的要求。该项目将研究通用存储系统的框架、关键硬件支持以及可行和有意义的功能,旨在提高从移动的到服务器平台的计算系统的性能、能源效率、可靠性和可扩展性。预计该项目的成果将对学术界和工业界现代计算机存储系统的设计产生更广泛的影响。
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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Zhao Zhang其他文献
A 1-V 5.2–5.7 GHz low noise sub-sampling phase locked loop in 0.18 μm CMOS
采用 0.18 μm CMOS 封装的 1V 5.2–5.7 GHz 低噪声子采样锁相环
- DOI:
10.1109/asicon.2015.7517130 - 发表时间:
2015 - 期刊:
- 影响因子:0
- 作者:
Jincheng Yang;Zhao Zhang;P. Feng;Liyuan Liu;N. Wu - 通讯作者:
N. Wu
Probe-Type Microforce Sensor for Mirco/Nano Experimental Mechanics
用于微/纳米实验力学的探针式微力传感器
- DOI:
10.4028/www.scientific.net/amr.33-37.943 - 发表时间:
2008-03 - 期刊:
- 影响因子:0
- 作者:
Xide Li;Zhao Zhang - 通讯作者:
Zhao Zhang
3D trajectory tracking control of an underactuated AUV based on adaptive neural network dynamic surface
基于自适应神经网络动态面的欠驱动AUV 3D轨迹跟踪控制
- DOI:
10.1504/ijvd.2020.115864 - 发表时间:
2020 - 期刊:
- 影响因子:0.5
- 作者:
Xiao Liang;Zhao Zhang;Xingru Qu - 通讯作者:
Xingru Qu
An efficient and convenient formal synthesis of Jaspine B from D-xylose.
由 D-木糖高效、便捷地正式合成 Jaspine B。
- DOI:
10.1016/j.carres.2012.01.013 - 发表时间:
2012-04 - 期刊:
- 影响因子:3.1
- 作者:
Zhao Zhang;Yu-Tao Zhao;Wen Qu;Hong-Min Liu - 通讯作者:
Hong-Min Liu
Development of a Procedure for Prioritizing Intersection Improvement Projects Considering Safety and Operational Factors
制定考虑安全和运营因素的交叉口改善项目优先顺序的程序
- DOI:
10.1080/19439962.2011.614374 - 发表时间:
2012 - 期刊:
- 影响因子:0
- 作者:
Zhenyu Wang;Zhao Zhang;J. Lu;Jianyou Zhao - 通讯作者:
Jianyou Zhao
Zhao Zhang的其他文献
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{{ truncateString('Zhao Zhang', 18)}}的其他基金
CAREER: Efficient and Scalable Large Foundational Model Training on Supercomputers for Science
职业:科学超级计算机上高效且可扩展的大型基础模型训练
- 批准号:
2340011 - 财政年份:2024
- 资助金额:
$ 37.5万 - 项目类别:
Standard Grant
Collaborative Research: Frameworks: hpcGPT: Enhancing Computing Center User Support with HPC-enriched Generative AI
协作研究:框架:hpcGPT:通过 HPC 丰富的生成式 AI 增强计算中心用户支持
- 批准号:
2411294 - 财政年份:2024
- 资助金额:
$ 37.5万 - 项目类别:
Standard Grant
Collaborative Research: CSR: Medium: Fortuna: Characterizing and Harnessing Performance Variability in Accelerator-rich Clusters
合作研究:CSR:Medium:Fortuna:表征和利用富含加速器的集群中的性能变异性
- 批准号:
2312689 - 财政年份:2023
- 资助金额:
$ 37.5万 - 项目类别:
Continuing Grant
Collaborative Research: CSR: Medium: Fortuna: Characterizing and Harnessing Performance Variability in Accelerator-rich Clusters
合作研究:CSR:Medium:Fortuna:表征和利用富含加速器的集群中的性能变异性
- 批准号:
2401244 - 财政年份:2023
- 资助金额:
$ 37.5万 - 项目类别:
Continuing Grant
Collaborative Research: Frameworks: Diamond: Democratizing Large Neural Network Model Training for Science
合作研究:框架:钻石:科学大型神经网络模型训练的民主化
- 批准号:
2311766 - 财政年份:2023
- 资助金额:
$ 37.5万 - 项目类别:
Standard Grant
Collaborative Research: OAC Core: ScaDL: New Approaches to Scaling Deep Learning for Science Applications on Supercomputers
协作研究:OAC 核心:ScaDL:在超级计算机上扩展深度学习科学应用的新方法
- 批准号:
2401246 - 财政年份:2023
- 资助金额:
$ 37.5万 - 项目类别:
Standard Grant
Collaborative Research: Frameworks: Diamond: Democratizing Large Neural Network Model Training for Science
合作研究:框架:钻石:科学大型神经网络模型训练的民主化
- 批准号:
2401245 - 财政年份:2023
- 资助金额:
$ 37.5万 - 项目类别:
Standard Grant
Collaborative Research: OAC Core: ScaDL: New Approaches to Scaling Deep Learning for Science Applications on Supercomputers
协作研究:OAC 核心:ScaDL:在超级计算机上扩展深度学习科学应用的新方法
- 批准号:
2106661 - 财政年份:2021
- 资助金额:
$ 37.5万 - 项目类别:
Standard Grant
Collaborative Research: OAC Core: Small: Efficient and Policy-driven Burst Buffer Sharing
合作研究:OAC Core:小型:高效且策略驱动的突发缓冲区共享
- 批准号:
2008388 - 财政年份:2020
- 资助金额:
$ 37.5万 - 项目类别:
Standard Grant
SHF: Medium:Collaborative Research: Architectural and System Support for Building Versatile Memory Systems
SHF:媒介:协作研究:构建多功能内存系统的架构和系统支持
- 批准号:
1514229 - 财政年份:2015
- 资助金额:
$ 37.5万 - 项目类别:
Continuing Grant
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