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IUCRC Planning Grant UC Davis: Center for Memory System Research (CMEMSYS)

IUCRC Planning Grant UC Davis: Center for Memory System Research (CMEMSYS)
IUCRC 规划拨款 加州大学戴维斯分校:记忆系统研究中心 (CMEMSYS)
批准号:
2310924
负责人:
Venkatesh Akella
金额:
$2.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2023
资助国家:
美国
项目状态:
已结题
起止时间:
2023-06-15 至 2024-05-31

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中文摘要
翻译
内存子系统是限制人工智能和数据分析工作负载的性能和能源效率的关键瓶颈,而这些工作负载是许多具有高社会影响的新兴应用的基石。半导体和封装技术的最新进展可以使新的存储系统具有显着更高的容量,更好的性能和能源效率,以及新的计算范式,如内存处理。为了利用这些趋势,必须进行研究,将新的存储系统集成到现有的软件和硬件生态系统中。此类研究对该行业至关重要,因为它使企业能够找到新的增长机会并招募新的人才。CEMSYS旨在解决集成和评估新兴存储系统以及发展其应用以充分利用新兴存储技术方面未满足的行业研究需求。CEMSYS将在以下领域开展工作:(1)异构存储器;(2)分解记忆;(3)大存储系统;(4)内存处理;(5)存储器的可靠性和安全性;(6)内存分析与优化;(7)新兴互连和封装技术,以及(8)持久存储器。存储器是计算机系统的基础。几乎所有计算机程序的性能都依赖于存储器来存储和检索信息。提高内存系统的容量、性能、可靠性和能效可以使大多数应用受益。因此,CEMSYS的研究具有很高的经济意义和广泛的社会影响。加州大学戴维斯分校是一所领先的研究型大学,致力于多元化和公平,通过在加州大学戴维斯分校建立CEMSYS,我们为该地区带来了独特的研发机会。CEMSYS将指导和培养一支多样化、高技能、具有全球竞争力的工程人才队伍。该奖项反映了美国国家科学基金会的法定使命,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,被认为值得支持。
英文摘要
Memory subsystem is a critical bottleneck that limits both performance and energy efficiency of artificial intelligence and data analysis workloads that are a cornerstone of many emerging applications with high societal impact. Recent advances in semiconductor and packaging technologies can enable new memory systems with significantly higher capacity, better performance and energy efficiency, and new computational paradigms such as processing in memory. To take advantage of these trends research must be carried out to integrate the new memory systems into the existing software and hardware ecosystems. Such research is critical to the industry because it enables businesses find new growth opportunities and recruit new talent.   CEMSYS aims to address the unmet industry research needs in integrating and evaluating emerging memory systems and evolving its applications to make the best usage of emerging memory technologies. CEMSYS will work in the following areas: (1) heterogeneous memory; (2) disaggregated memory; (3) big memory systems; (4) processing in memory; (5) memory reliability and security; (6) memory profiling and optimization; (7) emerging interconnects and packaging technologies, and (8) persistent memory.  Memory is the foundation of computer systems. The performance of almost all computer programs relies on memory for information storage and retrieval. Increasing capacity, performance, reliability, and energy efficiency of memory systems can benefit most applications. Hence, CEMSYS research has high economic significance with a broad societal impact. By establishing CEMSYS at UC Davis, a leading research university with strong commitment to diversity and equity, we bring unique research and development opportunities to the region. CEMSYS will mentor and develop a diverse, highly skilled, globally competitive engineering workforce. 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.
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CNS Core:Small:A HW/SW Codesign Framework For Dynamic Composition of Disaggregated Hardware Systems Securely
  • 批准号:
    2225882
  • 项目类别:
    Standard Grant
  • 资助金额:
    $59.99万
  • 财政年份:
    2022
  • 负责人:
    Venkatesh Akella
  • 依托单位:
CCF: Small: Improving Trace Based Simulation of On-Chip Networks
  • 批准号:
    1116897
  • 项目类别:
    Standard Grant
  • 资助金额:
    $44.88万
  • 财政年份:
    2011
  • 负责人:
    Venkatesh Akella
  • 依托单位:
Programmable Architectures for Low Density Parity Check Codes
  • 批准号:
    0429154
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $0.0万
  • 财政年份:
    2004
  • 负责人:
    Venkatesh Akella
  • 依托单位:
CAREER: Making Asynchronous Design Practical
  • 批准号:
    9702302
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $20.22万
  • 财政年份:
    1997
  • 负责人:
    Venkatesh Akella
  • 依托单位:
海外基金