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CC* Networking Infrastructure: A Science DMZ For Quantitative Biology and Precision Agriculture

CC* Networking Infrastructure: A Science DMZ For Quantitative Biology and Precision Agriculture
CC* 网络基础设施:定量生物学和精准农业的科学 DMZ
批准号:
2018432
负责人:
Brian O'Shea
金额:
$48.31万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-07-01 至 2022-06-30

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中文摘要
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英文摘要
Moore’s Law has ushered in a scientific data revolution. This is particularly acute in the life sciences, where the devices used to collect data and the theoretical tools used to generate models have benefited tremendously from the advent of inexpensive digital sensors and general-purpose graphics processing units, which have led to an explosive increase in the volume of high-quality data. Sharing large amounts of this data for analysis by other researchers will result in tremendous benefits to the scientific community.This project creates a Science DMZ at Michigan State University, which will facilitate MSU researchers’ ability to share huge volumes of data with the external research community at very high bandwidth. The project supports the networking hardware and software necessary to implement up to 100Gbps network connections used for sharing data already stored at MSU’s High Performance Computing System and on the NSF-funded MI-OSIRIS file system. The project uses data provided by four research groups on campus as a testbed, making cryo-electron microscopy images, hyperspectral imaging of crops using drones, three-dimensional volumetric images of plants generated via X-ray computed tomography, and a databank of biomolecular simulation data available to other researchers and the public. This project enhances the impact of MSU scientists and leverages prior NSF scientific and cyberinfrastructure investments. In addition, it involves the participation of students in the deployment and usage of the science DMZ.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: 10.1093/insilicoplants/diab033
发表时间: 2022-01-01
期刊: IN SILICO PLANTS
影响因子: 3.1
作者: [Amezquita, Erik J., Quigley, Michelle Y., Chitwood, Daniel H.]
通讯作者: Chitwood, Daniel H.
CC* Compute: The MSU Data Machine - a high-memory, GPU-enabled compute cluster for data-intensive and AI applications
  • 批准号:
    2200792
  • 项目类别:
    Standard Grant
  • 资助金额:
    $39.99万
  • 财政年份:
    2022
  • 负责人:
    Brian O'Shea
  • 依托单位:
REU Site: iCER ACRES: iCER Advanced Computational Research Experience for Students
  • 批准号:
    1949912
  • 项目类别:
    Standard Grant
  • 资助金额:
    $40.12万
  • 财政年份:
    2020
  • 负责人:
    Brian O'Shea
  • 依托单位:
Travel grant for LRAC proposal AST20004: The role of low collisionality in compressible, magnetized turbulence
  • 批准号:
    2031219
  • 项目类别:
    Standard Grant
  • 资助金额:
    $0.95万
  • 财政年份:
    2020
  • 负责人:
    Brian O'Shea
  • 依托单位:
Collaborative Research: The Spatially Resolved Circumgalactic Medium of Galaxies
  • 批准号:
    1908109
  • 项目类别:
    Standard Grant
  • 资助金额:
    $24.23万
  • 财政年份:
    2019
  • 负责人:
    Brian O'Shea
  • 依托单位:
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