EAGER: Collaborative Research: CNS: PRATE: P4 Research enabled by Accelerators in national TestbEds

EAGER:协作研究:CNS:PRATE:国家 TestbEd 加速器启用的 P4 研究

基本信息

  • 批准号:
    2130907
  • 负责人:
  • 金额:
    $ 14.98万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2021
  • 资助国家:
    美国
  • 起止时间:
    2021-10-01 至 2024-12-31
  • 项目状态:
    已结题

项目摘要

Scientific research is increasingly performed "in silico", which means experimentation is performed by a computer instead of using traditional laboratories. Chemistry, Biology, and Physics are only a small set of examples of the science domains that heavily rely on scientific computing to make new discoveries. Many of the computational models these discoveries are based on need massive amounts of computational, networking, and storage resources. The goal of this project is to make a new type of processing unit --Field Programmable Gate Array (FPGA)-- available to the research community to offer new and efficient ways of computation and data communication.This collaborative project, which brings together researchers from Northeastern University and the University of Massachusetts Amherst, will provide tools and tutorials to allow network researchers to use the P4 programming language in network-attached FPGAs that are available in the FABRIC, Chameleon, CloudLab, and Open Cloud Testbed testbeds supported by NSF. Network-attached FPGAs support the disaggregation of resources such as memory, network and processing, and novel tools will be investigated to support this more general cloud processing model. Once established the tools provided by this project will enable innovative research into i) network security to ensure the security of systems where a user can generate arbitrary networking traffic; ii) in-network telemetry; iii) in-network processing; and areas not yet envisioned by the proposers.Scientific computing has supported many discoveries in the past decade (e.g., gravitational waves, black holes, protein folding) and will lead to many more in the future, with many of them having broad societal impacts. This project will generate tools that will make the use of network and compute resources more efficient to better support scientific applications. P4 research projects will be developed as samples to be used by the broader community. In addition, the project will support two graduate students who will develop important skills in data center disaggregation and advanced networking. Tools and tutorials developed as part of this project will be used in data center and networking classes the principle investigators teach.All tools developed will be open sourced so that any researcher can use and expand on them. Documentation and tutorials will be developed and shared to aid widespread adoption. A website with links to code, tutorials, and results will be hosted on the Open Cloud Testbed website (https://octestbed.org/). This information will be maintained for a minimum of three years after the end of the project.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.
科学研究越来越多地“在计算机上”进行,这意味着实验是由计算机而不是使用传统的实验室进行的。化学、生物学和物理学只是科学领域中的一小部分,它们严重依赖科学计算来取得新的发现。这些发现所基于的许多计算模型需要大量的计算、网络和存储资源。该项目的目标是使一种新型的处理单元--现场可编程门阵列(FPGA)--为研究界提供新的和有效的计算和数据通信方式。这个合作项目汇集了来自东北大学和马萨诸塞州阿默斯特大学的研究人员,将提供工具和教程,使网络研究人员能够在网络连接的FPGA中使用P4编程语言,这些FPGA可用于NSF支持的FABRIC,Chameleon,CloudLab和Open Cloud Testbed测试平台。网络连接的FPGA支持内存、网络和处理等资源的分解,将研究新的工具来支持这种更通用的云处理模型。一旦建立,该项目提供的工具将使创新研究能够进入i)网络安全,以确保用户可以生成任意网络流量的系统的安全性; ii)网络内遥测; iii)网络内处理;以及提案人尚未设想的领域。引力波,黑洞,蛋白质折叠),并将在未来导致更多,其中许多具有广泛的社会影响。该项目将生成工具,使网络和计算资源的使用更有效,以更好地支持科学应用。P4研究项目将作为样本开发,供更广泛的社区使用。此外,该项目将支持两名研究生,他们将发展数据中心分解和高级网络方面的重要技能。作为该项目的一部分开发的工具和教程将用于主要研究人员教授的数据中心和网络课程。所有开发的工具都将开源,以便任何研究人员都可以使用和扩展它们。文档和教程将被开发和共享,以帮助广泛采用。开放云测试平台网站(https://octestbed.org/)将托管一个包含代码、教程和结果链接的网站。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,被认为值得支持。

项目成果

期刊论文数量(1)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
A Framework to Enable Runtime Programmable P4-enabled FPGAs in the Open Cloud Testbed
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Michael Zink其他文献

Dense radar networks for low-flyer surveillance
用于低空飞行监视的密集雷达网络
Successful temporary left ventricular assistance with the Hemopump assist device during acute myocardial infarction after complex mitral valve surgery
  • DOI:
    10.1007/s001340000680
  • 发表时间:
    2000-09-19
  • 期刊:
  • 影响因子:
    21.200
  • 作者:
    Michael Zink;J. Suzuki;Hans Gombotz;Peter J. Oberwalder
  • 通讯作者:
    Peter J. Oberwalder
Energy-agile design for parallel HPC applications
  • DOI:
    10.1016/j.suscom.2018.07.009
  • 发表时间:
    2018-09-01
  • 期刊:
  • 影响因子:
  • 作者:
    Cong Wang;Michael Zink;David Irwin
  • 通讯作者:
    David Irwin
NAD-Abhängige glutamatdehydrogenase aus reprimierter und dereprimierter Bäckerhefe
  • DOI:
    10.1016/s0926-6593(66)80096-6
  • 发表时间:
    1966-01-01
  • 期刊:
  • 影响因子:
  • 作者:
    Wolfgang Bernhardt;Michael Zink;Helmut Holzer
  • 通讯作者:
    Helmut Holzer
What ICU nurses in different Austrian hospitals know and think about the Austrian organ donation law
  • DOI:
    10.1186/1472-6939-15-46
  • 发表时间:
    2014-06-17
  • 期刊:
  • 影响因子:
    3.100
  • 作者:
    Gabriele Zettel;Angela Horvath;Ekaterina Vorobyeva;Christian Auburger;Michael Zink;Philipp Stiegler;Vanessa Stadlbauer
  • 通讯作者:
    Vanessa Stadlbauer

Michael Zink的其他文献

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{{ truncateString('Michael Zink', 18)}}的其他基金

EAGER: SPRITE: Sensor Processing and Realtime Intelligence at The Edge - Supporting the National Discovery Cloud for Climate with Advanced Networking, Cloud, and Edge Computing
EAGER:SPRITE:边缘传感器处理和实时智能 - 通过先进的网络、云和边缘计算支持国家气候发现云
  • 批准号:
    2335335
  • 财政年份:
    2023
  • 资助金额:
    $ 14.98万
  • 项目类别:
    Standard Grant
CC* Compute: COllaborative Next-generation Technology In the Northeast: the UMassUnity Machine (CONTINUUM)
CC* 计算:东北地区的协作下一代技术:UMassUnity 机器 (CONTINUUM)
  • 批准号:
    2201106
  • 财政年份:
    2022
  • 资助金额:
    $ 14.98万
  • 项目类别:
    Standard Grant
CC* Integration-Large: An 'On-the-fly' Deeply Programmable End-to-end Network-Centric Platform for Edge-to-Core Workflows
CC* Integration-Large:用于边缘到核心工作流程的“即时”深度可编程端到端网络中心平台
  • 批准号:
    2018074
  • 财政年份:
    2020
  • 资助金额:
    $ 14.98万
  • 项目类别:
    Standard Grant
CNS Core: Medium: Collaborative Research: Scalable Dissemination and Navigation of Video 360 Content for Personalized Viewing
CNS 核心:媒介:协作研究:视频 360 内容的可扩展传播和导航以实现个性化观看
  • 批准号:
    1901137
  • 财政年份:
    2019
  • 资助金额:
    $ 14.98万
  • 项目类别:
    Continuing Grant
CCRI: Grand: Developing a Testbed for the Research Community Exploring Next-Generation Cloud Platforms
CCRI:盛大:为研究界探索下一代云平台开发测试平台
  • 批准号:
    1925464
  • 财政年份:
    2019
  • 资助金额:
    $ 14.98万
  • 项目类别:
    Continuing Grant
PFI:AIR - TT: Proof of Concept Multifunction Micro-drone and Weather Surveillance System
PFI:AIR - TT:概念验证多功能微型无人机和天气监视系统
  • 批准号:
    1700967
  • 财政年份:
    2017
  • 资助金额:
    $ 14.98万
  • 项目类别:
    Standard Grant
CC*DNI Instrument: High-Bandwidth Network Connectivity for Remote Sensing Research
CC*DNI 仪器:用于遥感研究的高带宽网络连接
  • 批准号:
    1541353
  • 财政年份:
    2015
  • 资助金额:
    $ 14.98万
  • 项目类别:
    Standard Grant
I-Corps: Commercialization of a City Scale Weather Radar
I-Corps:城市规模气象雷达的商业化
  • 批准号:
    1535811
  • 财政年份:
    2015
  • 资助金额:
    $ 14.98万
  • 项目类别:
    Standard Grant
CAREER: Sensing as a Service - Architectures for Closed-Loop Sensor Network Virtualization
职业:传感即服务 - 闭环传感器网络虚拟化架构
  • 批准号:
    1350752
  • 财政年份:
    2014
  • 资助金额:
    $ 14.98万
  • 项目类别:
    Continuing Grant
EAGER: Ultra High-speed Bandwidth for Performance Improvements in Radar Networks for Weather and Aircraft Surveillance
EAGER:超高速带宽可提高天气和飞机监视雷达网络的性能
  • 批准号:
    1238485
  • 财政年份:
    2012
  • 资助金额:
    $ 14.98万
  • 项目类别:
    Standard Grant

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