| NSF Org: |
OAC Office of Advanced Cyberinfrastructure (OAC) |
| Recipient: |
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| Initial Amendment Date: | May 15, 2020 |
| Latest Amendment Date: | May 15, 2020 |
| Award Number: | 2018432 |
| Award Instrument: | Standard Grant |
| Program Manager: |
Kevin Thompson
kthompso@nsf.gov (703)292-4220 OAC Office of Advanced Cyberinfrastructure (OAC) CSE Directorate for Computer and Information Science and Engineering |
| Start Date: | July 1, 2020 |
| End Date: | June 30, 2022 (Estimated) |
| Total Intended Award Amount: | $483,122.00 |
| Total Awarded Amount to Date: | $483,122.00 |
| Funds Obligated to Date: |
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| History of Investigator: |
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| Recipient Sponsored Research Office: |
426 AUDITORIUM RD RM 2 EAST LANSING MI US 48824-2600 (517)355-5040 |
| Sponsor Congressional District: |
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| Primary Place of Performance: |
426 Auditorium Rd, Room 2 East Lansing MI US 48824-2600 |
| Primary Place of
Performance Congressional District: |
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| Unique Entity Identifier (UEI): |
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| Parent UEI: |
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| NSF Program(s): | Campus Cyberinfrastructure |
| Primary Program Source: |
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| Program Reference Code(s): | |
| Program Element Code(s): |
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| Award Agency Code: | 4900 |
| Fund Agency Code: | 4900 |
| Assistance Listing Number(s): | 47.070 |
ABSTRACT
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.
PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH
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PROJECT OUTCOMES REPORT
Disclaimer
This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.
The goal of this project was to build a high-speed research network at Michigan State University (MSU) that will facilitate MSU researchers' ability to share huge volumes of data both within MSU and with the external research community at very high bandwidth - up to 100 Gbps. The funding from this grant was used for the networking hardware and software necessary to implement the high-speed network connections used for sharing data already stored at MSU's High Performance Computing Center (HPCC) and the NSF-funded MI-OSiRIS data storage systems, as well as to individual facilities on campus. As a testbed, we used data provided by four research groups on campus whose work focuses on data-intensive applications in biology and agriculture.
The intellectual merit of this project is that it has immediately accelerated data transfer for MSU's data-intensive core research facilities (i.e., the MSU HPCC, MI-OSiRIS, and MSU's cryogenic electron microscopy facility), to the benefit of all research and educational efforts that use these facilities. In addition, research groups whose work focuses on precision agriculture with hyperspectral drone imaging and LIDAR, and molecular simulations of plant interactions, have experienced speedups in data transfers to and from their labs. Serendipitously, speeds between the Atlas Great Lakes Tier 2 data center locations at MSU and the University of Michigan, as well as to CERN, were increased and their connectivity was made more robust. Beyond these immediate and significant impacts, additional research groups with data-intensive experimental equipment will be brought onto the high speed research network in the near future.
The broader impacts of this project are as follows. A significant number of undergraduate students, graduate students, and postdoctoral researchers participated in either the construction and optimization of the high speed research network or used it for their own research, thus giving them experience with cutting-edge research cyberinfrastructure and (in the latter case) accelerated their own research projects. In particular, undergraduate students participated in the network controllers used in this project, giving them real-world experience with high end networking equipment. In addition, the new network has enhanced the ability to share large datasets in a variety of research areas (most notably, computational plant science) that will be used to train students in computational biology.
Last Modified: 10/09/2022
Modified by: Brian W O'shea
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