CAREER: Scalable and Universal Architecture for Next-Generation Memory Systems

职业:下一代内存系统的可扩展通用架构

基本信息

  • 批准号:
    0954111
  • 负责人:
  • 金额:
    $ 42.48万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Continuing Grant
  • 财政年份:
    2010
  • 资助国家:
    美国
  • 起止时间:
    2010-06-01 至 2017-05-31
  • 项目状态:
    已结题

项目摘要

This CAREER project will investigate future memory systems that are scalable with processor technologies and application demands. It identifies memory architecture as a key issue in developing next-generation memory systems that are scalable in terms of performance, power-efficiency and cost, and support heterogeneous memory devices. A Scalable and Universal Memory Architecture (SUMA) is proposed to replace the overly restrictive and homogeneous memory architecture in current computer systems. The project will further investigate a set of innovative techniques to improve memory scalability, including adaptive memory organization, heterogeneous memory management, proactive memory power and thermal management, and flexible memory error protection schemes. With a scalable and universal architecture, computer memory may scale cost-effectively and power-efficiently from gigabytes now to hundreds of terabytes in the future. Many memory-bounded computing problems will be solved at a much larger scale, and many previously intractable problems will become solvable. The proposed education component will expose undergraduate students to the complex performance, power, and thermal issues in the multi-core era, with a focus on memory systems.
这个CAREER项目将研究未来的存储系统,这些系统可以根据处理器技术和应用需求进行扩展。它将存储器体系结构确定为开发下一代存储器系统的关键问题,这些系统在性能、能效和成本方面具有可伸缩性,并支持异构存储器设备。提出了一种可扩展的通用存储器体系结构(SUMA),以取代当前计算机系统中过于限制和同构的存储器体系结构。该项目将进一步研究一系列提高内存可扩展性的创新技术,包括自适应内存组织、异构内存管理、主动内存电源和热管理,以及灵活的内存错误保护方案。有了可扩展的通用架构,计算机内存可以经济高效地从现在的千兆字节扩展到未来的数百太字节。许多有内存限制的计算问题将在更大的规模上得到解决,许多以前难以解决的问题将变得可以解决。拟议的教育部分将使本科生了解多核时代复杂的性能、功率和热问题,重点是存储系统。

项目成果

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Zhichun Zhu其他文献

DeepSwapper: A Deep Learning Based Page Swap Management Scheme for Hybrid Memory Systems
DeepSwapper:一种基于深度学习的混合内存系统页面交换管理方案
Thermal modeling and management of DRAM memory systems
DRAM 内存系统的热建模和管理
Fine-grain priority scheduling on multi-channel memory systems
多通道内存系统上的细粒度优先级调度
DRAM-Level Prefetching for Fully-Buffered DIMM: Design, Performance and Power Saving
全缓冲 DIMM 的 DRAM 级预取:设计、性能和节能
Memory Architecture for Integrating Emerging Memory Technologies
用于集成新兴内存技术的内存架构

Zhichun Zhu的其他文献

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{{ truncateString('Zhichun Zhu', 18)}}的其他基金

SHF:Medium:Collaborative Research: Architectural and System Support for Building Versatile Memory Systems
SHF:中:协作研究:构建多功能内存系统的架构和系统支持
  • 批准号:
    1513899
  • 财政年份:
    2015
  • 资助金额:
    $ 42.48万
  • 项目类别:
    Continuing Grant
Collaborative Research: CSR-PSCE, SM: Memory Thermal Management for Multi-Core Systems
合作研究:CSR-PSCE、SM:多核系统的内存热管理
  • 批准号:
    0834469
  • 财政年份:
    2008
  • 资助金额:
    $ 42.48万
  • 项目类别:
    Standard Grant
Collaborative Research: CSR --- SMA: Thermal Modeling, Simulation and Management of Memory Subsystems for Multi-Core Systems
合作研究:CSR --- SMA:多核系统内存子系统的热建模、仿真和管理
  • 批准号:
    0720719
  • 财政年份:
    2007
  • 资助金额:
    $ 42.48万
  • 项目类别:
    Standard Grant
Collaborative Research: Memory Access Throttling for Highly Multi-Threaded Processors
协作研究:高度多线程处理器的内存访问限制
  • 批准号:
    0541408
  • 财政年份:
    2006
  • 资助金额:
    $ 42.48万
  • 项目类别:
    Standard Grant

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