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Collaborative Research: CNS Core: Medium: A Stateful Switch Architecture for In-Network Compute

Collaborative Research: CNS Core: Medium: A Stateful Switch Architecture for In-Network Compute
合作研究:CNS Core:Medium:用于网内计算的有状态交换机架构
批准号:
2211381
负责人:
Muhammad Shahbaz
金额:
$24.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2022
资助国家:
美国
项目状态:
未结题
起止时间:
2022-10-01 至 2026-09-30

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中文摘要
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英文摘要
Today's cloud data centers struggle to keep up with the computing demands of big-data applications (e.g., social media, video streaming, and artificial intelligence) that form the backbone of our modern technological society. The current status-quo of executing compute at the end-host servers while using networks for routing packets only, restricts these data centers from scaling to ever-growing distributed and high-performance computing (HPC) applications. In-network computing scales and accelerate modern applications by performing parts of the high-level computation directly inside the network switches. However, today’s switches implement simple, stateless packet protocols (e.g., routing and forwarding) and cannot perform complicated stateful operations needed to run distributed applications.To address this challenge, the proposal seeks to develop (1) a stateful switch architecture for flexible management, computation, and sharing of applications' state in the network, beyond just traditional packet processing; (2) a network-wide abstraction and runtime to program and operate the proposed stateful switches collectively within a data center; and, lastly, (3) a suite of representative applications and test cases to guide the design and implementation of these stateful switches by exploring their architectural trade-offs. This work has the potential to significantly enhance large scale computation now used widely by researchers, the government and businesses in every sector of the economy.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.
期刊论文(2)
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会议论文
DOI: 10.1145/3594255.3594259
发表时间: 2023-01
期刊: ACM SIGCOMM Computer Communication Review
影响因子: 2.8
作者: [Annus Zulfiqar;Ben Pfaff;William Tu;G. Antichi;M. Shahbaz]
通讯作者: Annus Zulfiqar;Ben Pfaff;William Tu;G. Antichi;M. Shahbaz
DOI: 10.1145/3582016.3582022
发表时间: 2022-06
期刊: Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 3
影响因子: --
作者: [Tushar Swamy;Annus Zulfiqar;Luigi Nardi;M. Shahbaz;K. Olukotun]
通讯作者: Tushar Swamy;Annus Zulfiqar;Luigi Nardi;M. Shahbaz;K. Olukotun
CAREER: A Platform for Per-Packet AI using Heterogeneous Data Planes
  • 批准号:
    2338034
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $55.54万
  • 财政年份:
    2024
  • 负责人:
    Muhammad Shahbaz
  • 依托单位:
国内基金
海外基金
Research on Quantum Field Theory without a Lagrangian Description
  • 批准号:
    24ZR1403900
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2024
  • 负责人:
    SATOSHI NAWATA
  • 依托单位:
Cell Research
Cell Research
Cell Research (细胞研究)